1747 lines
164 KiB
Markdown
1747 lines
164 KiB
Markdown
# gemma-3-12b-it-Q3_K_L.gguf - GGUF Internal File Dump
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- Endian: LITTLE endian
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## Key Value Metadata Store
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There are 48 key-value pairs in this file
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| POS | TYPE | Count | Key | Value |
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|----:|:----------|-------:|:----------------------------------------|:-----------------------------------------------------------------------|
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| 1 | UINT32 | 1 | GGUF.version | 3 |
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| 2 | UINT64 | 1 | GGUF.tensor_count | 600 |
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| 3 | UINT64 | 1 | GGUF.kv_count | 45 |
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| 4 | STRING | 1 | general.architecture | `gemma3` |
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| 5 | STRING | 1 | general.type | `model` |
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| 6 | STRING | 1 | general.name | `Gemma 3 12b It` |
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| 7 | STRING | 1 | general.finetune | `it` |
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| 8 | STRING | 1 | general.basename | `gemma-3` |
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| 9 | STRING | 1 | general.size_label | `12B` |
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| 10 | STRING | 1 | general.license | `gemma` |
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| 11 | UINT32 | 1 | general.base_model.count | 1 |
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| 12 | STRING | 1 | general.base_model.0.name | `Gemma 3 12b Pt` |
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| 13 | STRING | 1 | general.base_model.0.organization | `Google` |
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| 14 | STRING | 1 | general.base_model.0.repo_url | `https://huggingface.co/google/gemma-3-12b-pt` |
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| 15 | [STRING] | 1 | general.tags | [ `image-text-to-text` ] |
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| 16 | UINT32 | 1 | gemma3.context_length | 131072 |
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| 17 | UINT32 | 1 | gemma3.embedding_length | 3840 |
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| 18 | UINT32 | 1 | gemma3.feed_forward_length | 15360 |
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| 19 | UINT32 | 1 | gemma3.attention.head_count | 16 |
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| 20 | FLOAT32 | 1 | gemma3.attention.layer_norm_rms_epsilon | 1e-06 |
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| 21 | UINT32 | 1 | gemma3.attention.key_length | 256 |
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| 22 | UINT32 | 1 | gemma3.attention.value_length | 256 |
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| 23 | FLOAT32 | 1 | gemma3.rope.freq_base | 1000000.0 |
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| 24 | UINT32 | 1 | gemma3.attention.sliding_window | 1024 |
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| 25 | UINT32 | 1 | gemma3.attention.head_count_kv | 8 |
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| 26 | STRING | 1 | gemma3.rope.scaling.type | `linear` |
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| 27 | FLOAT32 | 1 | gemma3.rope.scaling.factor | 8.0 |
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| 28 | STRING | 1 | tokenizer.ggml.model | `llama` |
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| 29 | STRING | 1 | tokenizer.ggml.pre | `default` |
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| 30 | [STRING] | 262144 | tokenizer.ggml.tokens | [ `<pad>`, `<eos>`, `<bos>`, `<unk>`, `<mask>`, ... ] |
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| 31 | [FLOAT32] | 262144 | tokenizer.ggml.scores | [ -1000.0, -1000.0, -1000.0, -1000.0, -1000.0, -1000.0, -1000.0, ... ] |
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| 32 | [INT32] | 262144 | tokenizer.ggml.token_type | [ 3, 3, 3, 3, 3, 4, 3, ... ] |
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| 33 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 2 |
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| 34 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 1 |
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| 35 | UINT32 | 1 | tokenizer.ggml.unknown_token_id | 3 |
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| 36 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 0 |
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| 37 | BOOL | 1 | tokenizer.ggml.add_bos_token | True |
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| 38 | BOOL | 1 | tokenizer.ggml.add_eos_token | False |
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| 39 | STRING | 1 | tokenizer.chat_template | `{{ bos_token }}{%- if message`...`_turn>model'}}{%- endif -%}` |
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| 40 | BOOL | 1 | tokenizer.ggml.add_space_prefix | False |
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| 41 | UINT32 | 1 | general.quantization_version | 2 |
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| 42 | UINT32 | 1 | general.file_type | 13 |
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| 43 | BOOL | 1 | general.pruned | True |
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| 44 | UINT32 | 1 | gemma3.block_count | 46 |
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| 45 | STRING | 1 | quantize.imatrix.file | `./imatrix/imatrix-gemma-3-12b-it-small.dat` |
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| 46 | STRING | 1 | quantize.imatrix.dataset | `../../datasets/imatrix/combined_eur_small.txt` |
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| 47 | INT32 | 1 | quantize.imatrix.entries_count | 336 |
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| 48 | INT32 | 1 | quantize.imatrix.chunks_count | 3226 |
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## Tensors Overview ~11B Elements
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Total number of elements in all tensors: 11317490432 Elements
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- [gemma-3-12b-it-Q3\_K\_L.gguf - GGUF Internal File Dump](#gemma-3-12b-it-q3_k_lgguf---gguf-internal-file-dump)
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- [Key Value Metadata Store](#key-value-metadata-store)
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- [Tensors Overview ~11B Elements](#tensors-overview-11b-elements)
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- [Tensor Data Offset](#tensor-data-offset)
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- [Base Tensor Group : ~1B Elements](#base-tensor-group--1b-elements)
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- [Block 0 Tensor Group : ~224M Elements](#block-0-tensor-group--224m-elements)
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- [Block 1 Tensor Group : ~224M Elements](#block-1-tensor-group--224m-elements)
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- [Block 2 Tensor Group : ~224M Elements](#block-2-tensor-group--224m-elements)
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- [Block 3 Tensor Group : ~224M Elements](#block-3-tensor-group--224m-elements)
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- [Block 4 Tensor Group : ~224M Elements](#block-4-tensor-group--224m-elements)
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- [Block 5 Tensor Group : ~224M Elements](#block-5-tensor-group--224m-elements)
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- [Block 6 Tensor Group : ~224M Elements](#block-6-tensor-group--224m-elements)
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- [Block 7 Tensor Group : ~224M Elements](#block-7-tensor-group--224m-elements)
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- [Block 8 Tensor Group : ~224M Elements](#block-8-tensor-group--224m-elements)
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- [Block 9 Tensor Group : ~224M Elements](#block-9-tensor-group--224m-elements)
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- [Block 10 Tensor Group : ~224M Elements](#block-10-tensor-group--224m-elements)
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- [Block 11 Tensor Group : ~224M Elements](#block-11-tensor-group--224m-elements)
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- [Block 12 Tensor Group : ~224M Elements](#block-12-tensor-group--224m-elements)
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- [Block 13 Tensor Group : ~224M Elements](#block-13-tensor-group--224m-elements)
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- [Block 14 Tensor Group : ~224M Elements](#block-14-tensor-group--224m-elements)
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- [Block 15 Tensor Group : ~224M Elements](#block-15-tensor-group--224m-elements)
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- [Block 16 Tensor Group : ~224M Elements](#block-16-tensor-group--224m-elements)
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- [Block 17 Tensor Group : ~224M Elements](#block-17-tensor-group--224m-elements)
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- [Block 18 Tensor Group : ~224M Elements](#block-18-tensor-group--224m-elements)
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- [Block 19 Tensor Group : ~224M Elements](#block-19-tensor-group--224m-elements)
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- [Block 20 Tensor Group : ~224M Elements](#block-20-tensor-group--224m-elements)
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- [Block 21 Tensor Group : ~224M Elements](#block-21-tensor-group--224m-elements)
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- [Block 22 Tensor Group : ~224M Elements](#block-22-tensor-group--224m-elements)
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- [Block 23 Tensor Group : ~224M Elements](#block-23-tensor-group--224m-elements)
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- [Block 24 Tensor Group : ~224M Elements](#block-24-tensor-group--224m-elements)
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- [Block 25 Tensor Group : ~224M Elements](#block-25-tensor-group--224m-elements)
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- [Block 26 Tensor Group : ~224M Elements](#block-26-tensor-group--224m-elements)
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- [Block 27 Tensor Group : ~224M Elements](#block-27-tensor-group--224m-elements)
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- [Block 28 Tensor Group : ~224M Elements](#block-28-tensor-group--224m-elements)
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- [Block 29 Tensor Group : ~224M Elements](#block-29-tensor-group--224m-elements)
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- [Block 30 Tensor Group : ~224M Elements](#block-30-tensor-group--224m-elements)
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- [Block 31 Tensor Group : ~224M Elements](#block-31-tensor-group--224m-elements)
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- [Block 32 Tensor Group : ~224M Elements](#block-32-tensor-group--224m-elements)
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- [Block 33 Tensor Group : ~224M Elements](#block-33-tensor-group--224m-elements)
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- [Block 34 Tensor Group : ~224M Elements](#block-34-tensor-group--224m-elements)
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- [Block 35 Tensor Group : ~224M Elements](#block-35-tensor-group--224m-elements)
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- [Block 36 Tensor Group : ~224M Elements](#block-36-tensor-group--224m-elements)
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- [Block 37 Tensor Group : ~224M Elements](#block-37-tensor-group--224m-elements)
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- [Block 38 Tensor Group : ~224M Elements](#block-38-tensor-group--224m-elements)
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- [Block 39 Tensor Group : ~224M Elements](#block-39-tensor-group--224m-elements)
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- [Block 40 Tensor Group : ~224M Elements](#block-40-tensor-group--224m-elements)
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- [Block 41 Tensor Group : ~224M Elements](#block-41-tensor-group--224m-elements)
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- [Block 42 Tensor Group : ~224M Elements](#block-42-tensor-group--224m-elements)
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- [Block 43 Tensor Group : ~224M Elements](#block-43-tensor-group--224m-elements)
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- [Block 44 Tensor Group : ~224M Elements](#block-44-tensor-group--224m-elements)
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- [Block 45 Tensor Group : ~224M Elements](#block-45-tensor-group--224m-elements)
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### Tensor Data Offset
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This table contains the offset and data segment relative to start of file
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| T_ID | Tensor Layer Name | Data Offset (B) | Data Size (B) |
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|-----:|:----------------------------------|-----------------:|-----------------:|
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| 0 | output_norm.weight | 0x63ee20 | 0x3c00 |
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| 1 | token_embd.weight | 0x642a20 | 0x19c80000 |
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| 2 | blk.0.attn_k.weight | 0x1a2c2a20 | 0x339000 |
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| 3 | blk.0.attn_k_norm.weight | 0x1a5fba20 | 0x400 |
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| 4 | blk.0.attn_norm.weight | 0x1a5fbe20 | 0x3c00 |
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| 5 | blk.0.attn_output.weight | 0x1a5ffa20 | 0xa50000 |
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| 6 | blk.0.attn_q.weight | 0x1b04fa20 | 0x672000 |
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| 7 | blk.0.attn_q_norm.weight | 0x1b6c1a20 | 0x400 |
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| 8 | blk.0.attn_v.weight | 0x1b6c1e20 | 0x438000 |
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| 9 | blk.0.ffn_down.weight | 0x1baf9e20 | 0x26ac000 |
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| 10 | blk.0.ffn_gate.weight | 0x1e1a5e20 | 0x182b800 |
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| 11 | blk.0.ffn_norm.weight | 0x1f9d1620 | 0x3c00 |
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| 12 | blk.0.ffn_up.weight | 0x1f9d5220 | 0x182b800 |
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| 13 | blk.0.post_attention_norm.weight | 0x21200a20 | 0x3c00 |
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| 14 | blk.0.post_ffw_norm.weight | 0x21204620 | 0x3c00 |
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| 15 | blk.1.attn_k.weight | 0x21208220 | 0x339000 |
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| 16 | blk.1.attn_k_norm.weight | 0x21541220 | 0x400 |
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| 17 | blk.1.attn_norm.weight | 0x21541620 | 0x3c00 |
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| 18 | blk.1.attn_output.weight | 0x21545220 | 0xa50000 |
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| 19 | blk.1.attn_q.weight | 0x21f95220 | 0x672000 |
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| 20 | blk.1.attn_q_norm.weight | 0x22607220 | 0x400 |
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| 21 | blk.1.attn_v.weight | 0x22607620 | 0x438000 |
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| 22 | blk.1.ffn_down.weight | 0x22a3f620 | 0x26ac000 |
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| 23 | blk.1.ffn_gate.weight | 0x250eb620 | 0x182b800 |
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| 24 | blk.1.ffn_norm.weight | 0x26916e20 | 0x3c00 |
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| 25 | blk.1.ffn_up.weight | 0x2691aa20 | 0x182b800 |
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| 26 | blk.1.post_attention_norm.weight | 0x28146220 | 0x3c00 |
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| 27 | blk.1.post_ffw_norm.weight | 0x28149e20 | 0x3c00 |
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| 28 | blk.2.attn_k.weight | 0x2814da20 | 0x339000 |
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| 29 | blk.2.attn_k_norm.weight | 0x28486a20 | 0x400 |
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| 30 | blk.2.attn_norm.weight | 0x28486e20 | 0x3c00 |
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| 31 | blk.2.attn_output.weight | 0x2848aa20 | 0xa50000 |
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| 32 | blk.2.attn_q.weight | 0x28edaa20 | 0x672000 |
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| 33 | blk.2.attn_q_norm.weight | 0x2954ca20 | 0x400 |
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| 34 | blk.2.attn_v.weight | 0x2954ce20 | 0x438000 |
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| 35 | blk.2.ffn_down.weight | 0x29984e20 | 0x26ac000 |
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| 36 | blk.2.ffn_gate.weight | 0x2c030e20 | 0x182b800 |
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| 37 | blk.2.ffn_norm.weight | 0x2d85c620 | 0x3c00 |
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| 38 | blk.2.ffn_up.weight | 0x2d860220 | 0x182b800 |
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| 39 | blk.2.post_attention_norm.weight | 0x2f08ba20 | 0x3c00 |
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| 40 | blk.2.post_ffw_norm.weight | 0x2f08f620 | 0x3c00 |
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| 41 | blk.3.attn_k.weight | 0x2f093220 | 0x339000 |
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| 42 | blk.3.attn_k_norm.weight | 0x2f3cc220 | 0x400 |
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| 43 | blk.3.attn_norm.weight | 0x2f3cc620 | 0x3c00 |
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| 44 | blk.3.attn_output.weight | 0x2f3d0220 | 0xa50000 |
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| 45 | blk.3.attn_q.weight | 0x2fe20220 | 0x672000 |
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| 46 | blk.3.attn_q_norm.weight | 0x30492220 | 0x400 |
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| 47 | blk.3.attn_v.weight | 0x30492620 | 0x438000 |
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| 48 | blk.3.ffn_down.weight | 0x308ca620 | 0x26ac000 |
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| 49 | blk.3.ffn_gate.weight | 0x32f76620 | 0x182b800 |
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| 50 | blk.3.ffn_norm.weight | 0x347a1e20 | 0x3c00 |
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| 51 | blk.3.ffn_up.weight | 0x347a5a20 | 0x182b800 |
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| 52 | blk.3.post_attention_norm.weight | 0x35fd1220 | 0x3c00 |
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| 53 | blk.3.post_ffw_norm.weight | 0x35fd4e20 | 0x3c00 |
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| 54 | blk.4.attn_k.weight | 0x35fd8a20 | 0x339000 |
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| 55 | blk.4.attn_k_norm.weight | 0x36311a20 | 0x400 |
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| 56 | blk.4.attn_norm.weight | 0x36311e20 | 0x3c00 |
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| 57 | blk.4.attn_output.weight | 0x36315a20 | 0xa50000 |
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| 58 | blk.4.attn_q.weight | 0x36d65a20 | 0x672000 |
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| 59 | blk.4.attn_q_norm.weight | 0x373d7a20 | 0x400 |
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| 60 | blk.4.attn_v.weight | 0x373d7e20 | 0x438000 |
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| 61 | blk.4.ffn_down.weight | 0x3780fe20 | 0x26ac000 |
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| 62 | blk.4.ffn_gate.weight | 0x39ebbe20 | 0x182b800 |
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| 63 | blk.4.ffn_norm.weight | 0x3b6e7620 | 0x3c00 |
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| 64 | blk.4.ffn_up.weight | 0x3b6eb220 | 0x182b800 |
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| 65 | blk.4.post_attention_norm.weight | 0x3cf16a20 | 0x3c00 |
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| 66 | blk.4.post_ffw_norm.weight | 0x3cf1a620 | 0x3c00 |
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| 67 | blk.5.attn_k.weight | 0x3cf1e220 | 0x339000 |
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| 68 | blk.5.attn_k_norm.weight | 0x3d257220 | 0x400 |
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| 69 | blk.5.attn_norm.weight | 0x3d257620 | 0x3c00 |
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| 70 | blk.5.attn_output.weight | 0x3d25b220 | 0xa50000 |
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| 71 | blk.5.attn_q.weight | 0x3dcab220 | 0x672000 |
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| 72 | blk.5.attn_q_norm.weight | 0x3e31d220 | 0x400 |
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| 73 | blk.5.attn_v.weight | 0x3e31d620 | 0x438000 |
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| 74 | blk.5.ffn_down.weight | 0x3e755620 | 0x26ac000 |
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| 75 | blk.5.ffn_gate.weight | 0x40e01620 | 0x182b800 |
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| 76 | blk.5.ffn_norm.weight | 0x4262ce20 | 0x3c00 |
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| 77 | blk.5.ffn_up.weight | 0x42630a20 | 0x182b800 |
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| 78 | blk.5.post_attention_norm.weight | 0x43e5c220 | 0x3c00 |
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| 79 | blk.5.post_ffw_norm.weight | 0x43e5fe20 | 0x3c00 |
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| 80 | blk.6.attn_k.weight | 0x43e63a20 | 0x339000 |
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| 81 | blk.6.attn_k_norm.weight | 0x4419ca20 | 0x400 |
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| 82 | blk.6.attn_norm.weight | 0x4419ce20 | 0x3c00 |
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| 83 | blk.6.attn_output.weight | 0x441a0a20 | 0xa50000 |
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| 84 | blk.6.attn_q.weight | 0x44bf0a20 | 0x672000 |
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| 85 | blk.6.attn_q_norm.weight | 0x45262a20 | 0x400 |
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| 86 | blk.6.attn_v.weight | 0x45262e20 | 0x438000 |
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| 87 | blk.6.ffn_down.weight | 0x4569ae20 | 0x26ac000 |
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| 88 | blk.6.ffn_gate.weight | 0x47d46e20 | 0x182b800 |
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| 89 | blk.6.ffn_norm.weight | 0x49572620 | 0x3c00 |
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| 90 | blk.6.ffn_up.weight | 0x49576220 | 0x182b800 |
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| 91 | blk.6.post_attention_norm.weight | 0x4ada1a20 | 0x3c00 |
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| 92 | blk.6.post_ffw_norm.weight | 0x4ada5620 | 0x3c00 |
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| 93 | blk.7.attn_k.weight | 0x4ada9220 | 0x339000 |
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| 94 | blk.7.attn_k_norm.weight | 0x4b0e2220 | 0x400 |
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| 95 | blk.7.attn_norm.weight | 0x4b0e2620 | 0x3c00 |
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| 96 | blk.7.attn_output.weight | 0x4b0e6220 | 0xa50000 |
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| 97 | blk.7.attn_q.weight | 0x4bb36220 | 0x672000 |
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| 98 | blk.7.attn_q_norm.weight | 0x4c1a8220 | 0x400 |
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| 99 | blk.7.attn_v.weight | 0x4c1a8620 | 0x438000 |
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| 100 | blk.7.ffn_down.weight | 0x4c5e0620 | 0x26ac000 |
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| 101 | blk.7.ffn_gate.weight | 0x4ec8c620 | 0x182b800 |
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| 102 | blk.7.ffn_norm.weight | 0x504b7e20 | 0x3c00 |
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| 103 | blk.7.ffn_up.weight | 0x504bba20 | 0x182b800 |
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| 104 | blk.7.post_attention_norm.weight | 0x51ce7220 | 0x3c00 |
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| 105 | blk.7.post_ffw_norm.weight | 0x51ceae20 | 0x3c00 |
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| 106 | blk.8.attn_k.weight | 0x51ceea20 | 0x339000 |
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| 107 | blk.8.attn_k_norm.weight | 0x52027a20 | 0x400 |
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| 108 | blk.8.attn_norm.weight | 0x52027e20 | 0x3c00 |
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| 109 | blk.8.attn_output.weight | 0x5202ba20 | 0xa50000 |
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| 110 | blk.8.attn_q.weight | 0x52a7ba20 | 0x672000 |
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| 111 | blk.8.attn_q_norm.weight | 0x530eda20 | 0x400 |
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| 112 | blk.8.attn_v.weight | 0x530ede20 | 0x438000 |
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| 113 | blk.8.ffn_down.weight | 0x53525e20 | 0x26ac000 |
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| 114 | blk.8.ffn_gate.weight | 0x55bd1e20 | 0x182b800 |
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| 115 | blk.8.ffn_norm.weight | 0x573fd620 | 0x3c00 |
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| 116 | blk.8.ffn_up.weight | 0x57401220 | 0x182b800 |
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| 117 | blk.8.post_attention_norm.weight | 0x58c2ca20 | 0x3c00 |
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| 118 | blk.8.post_ffw_norm.weight | 0x58c30620 | 0x3c00 |
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| 119 | blk.9.attn_k.weight | 0x58c34220 | 0x339000 |
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| 120 | blk.9.attn_k_norm.weight | 0x58f6d220 | 0x400 |
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| 121 | blk.9.attn_norm.weight | 0x58f6d620 | 0x3c00 |
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| 122 | blk.9.attn_output.weight | 0x58f71220 | 0xa50000 |
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| 123 | blk.9.attn_q.weight | 0x599c1220 | 0x672000 |
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| 124 | blk.9.attn_q_norm.weight | 0x5a033220 | 0x400 |
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| 125 | blk.9.attn_v.weight | 0x5a033620 | 0x438000 |
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| 126 | blk.9.ffn_down.weight | 0x5a46b620 | 0x26ac000 |
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|
|
| 576 | blk.44.attn_norm.weight | 0x12fd99e20 | 0x3c00 |
|
|
| 577 | blk.44.attn_output.weight | 0x12fd9da20 | 0xa50000 |
|
|
| 578 | blk.44.attn_q.weight | 0x1307eda20 | 0x672000 |
|
|
| 579 | blk.44.attn_q_norm.weight | 0x130e5fa20 | 0x400 |
|
|
| 580 | blk.44.attn_v.weight | 0x130e5fe20 | 0x438000 |
|
|
| 581 | blk.44.ffn_down.weight | 0x131297e20 | 0x26ac000 |
|
|
| 582 | blk.44.ffn_gate.weight | 0x133943e20 | 0x182b800 |
|
|
| 583 | blk.44.ffn_norm.weight | 0x13516f620 | 0x3c00 |
|
|
| 584 | blk.44.ffn_up.weight | 0x135173220 | 0x182b800 |
|
|
| 585 | blk.44.post_attention_norm.weight | 0x13699ea20 | 0x3c00 |
|
|
| 586 | blk.44.post_ffw_norm.weight | 0x1369a2620 | 0x3c00 |
|
|
| 587 | blk.45.attn_k.weight | 0x1369a6220 | 0x339000 |
|
|
| 588 | blk.45.attn_k_norm.weight | 0x136cdf220 | 0x400 |
|
|
| 589 | blk.45.attn_norm.weight | 0x136cdf620 | 0x3c00 |
|
|
| 590 | blk.45.attn_output.weight | 0x136ce3220 | 0xa50000 |
|
|
| 591 | blk.45.attn_q.weight | 0x137733220 | 0x672000 |
|
|
| 592 | blk.45.attn_q_norm.weight | 0x137da5220 | 0x400 |
|
|
| 593 | blk.45.attn_v.weight | 0x137da5620 | 0x438000 |
|
|
| 594 | blk.45.ffn_down.weight | 0x1381dd620 | 0x26ac000 |
|
|
| 595 | blk.45.ffn_gate.weight | 0x13a889620 | 0x182b800 |
|
|
| 596 | blk.45.ffn_norm.weight | 0x13c0b4e20 | 0x3c00 |
|
|
| 597 | blk.45.ffn_up.weight | 0x13c0b8a20 | 0x182b800 |
|
|
| 598 | blk.45.post_attention_norm.weight | 0x13d8e4220 | 0x3c00 |
|
|
| 599 | blk.45.post_ffw_norm.weight | 0x13d8e7e20 | 0x3c00 |
|
|
|
|
### <a name="base">Base Tensor Group : ~1B Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:-------------------|:---------------------------------|:-----------------|:----------------------|:-----|
|
|
| 0 | output_norm.weight | Output Normalization (W) | (~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 1 | token_embd.weight | Token Embedding (W) | (~1B) 1006632960 | 3840 x 262144 x 1 x 1 | Q3_K |
|
|
|
|
- Total elements in base: ( ~1B) 1006636800
|
|
- Percentage of total elements: 8.89%
|
|
|
|
|
|
### <a name="blk_0">Block 0 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 2 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 3 | blk.0.attn_k_norm.weight | Block 0 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 4 | blk.0.attn_norm.weight | Block 0 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 5 | blk.0.attn_output.weight | Block 0 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 7 | blk.0.attn_q_norm.weight | Block 0 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 8 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 9 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 10 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 11 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 12 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 13 | blk.0.post_attention_norm.weight | Block 0 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 14 | blk.0.post_ffw_norm.weight | Block 0 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.0: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_1">Block 1 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 15 | blk.1.attn_k.weight | Block 1 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 16 | blk.1.attn_k_norm.weight | Block 1 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 17 | blk.1.attn_norm.weight | Block 1 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 18 | blk.1.attn_output.weight | Block 1 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 19 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 20 | blk.1.attn_q_norm.weight | Block 1 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 21 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 22 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 23 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 24 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 25 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 26 | blk.1.post_attention_norm.weight | Block 1 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 27 | blk.1.post_ffw_norm.weight | Block 1 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.1: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_2">Block 2 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 28 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 29 | blk.2.attn_k_norm.weight | Block 2 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 30 | blk.2.attn_norm.weight | Block 2 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 31 | blk.2.attn_output.weight | Block 2 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 32 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 33 | blk.2.attn_q_norm.weight | Block 2 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 34 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 35 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 36 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 37 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 38 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 39 | blk.2.post_attention_norm.weight | Block 2 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 40 | blk.2.post_ffw_norm.weight | Block 2 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.2: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_3">Block 3 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 41 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 42 | blk.3.attn_k_norm.weight | Block 3 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 43 | blk.3.attn_norm.weight | Block 3 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 44 | blk.3.attn_output.weight | Block 3 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 45 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 46 | blk.3.attn_q_norm.weight | Block 3 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 47 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 48 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 49 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 50 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 51 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 52 | blk.3.post_attention_norm.weight | Block 3 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 53 | blk.3.post_ffw_norm.weight | Block 3 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.3: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_4">Block 4 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 54 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 55 | blk.4.attn_k_norm.weight | Block 4 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 56 | blk.4.attn_norm.weight | Block 4 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 57 | blk.4.attn_output.weight | Block 4 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 58 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 59 | blk.4.attn_q_norm.weight | Block 4 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 60 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 61 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 62 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 63 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 64 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 65 | blk.4.post_attention_norm.weight | Block 4 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 66 | blk.4.post_ffw_norm.weight | Block 4 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.4: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_5">Block 5 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 67 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 68 | blk.5.attn_k_norm.weight | Block 5 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 69 | blk.5.attn_norm.weight | Block 5 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 70 | blk.5.attn_output.weight | Block 5 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 71 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 72 | blk.5.attn_q_norm.weight | Block 5 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 73 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 74 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 75 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 76 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 77 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 78 | blk.5.post_attention_norm.weight | Block 5 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 79 | blk.5.post_ffw_norm.weight | Block 5 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.5: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_6">Block 6 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 80 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 81 | blk.6.attn_k_norm.weight | Block 6 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 82 | blk.6.attn_norm.weight | Block 6 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 83 | blk.6.attn_output.weight | Block 6 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 84 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 85 | blk.6.attn_q_norm.weight | Block 6 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 86 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 87 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 88 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 89 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 90 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 91 | blk.6.post_attention_norm.weight | Block 6 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 92 | blk.6.post_ffw_norm.weight | Block 6 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.6: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_7">Block 7 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 93 | blk.7.attn_k.weight | Block 7 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 94 | blk.7.attn_k_norm.weight | Block 7 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 95 | blk.7.attn_norm.weight | Block 7 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 96 | blk.7.attn_output.weight | Block 7 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 97 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 98 | blk.7.attn_q_norm.weight | Block 7 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 99 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 100 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 101 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 102 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 103 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 104 | blk.7.post_attention_norm.weight | Block 7 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 105 | blk.7.post_ffw_norm.weight | Block 7 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.7: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_8">Block 8 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 106 | blk.8.attn_k.weight | Block 8 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 107 | blk.8.attn_k_norm.weight | Block 8 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 108 | blk.8.attn_norm.weight | Block 8 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 109 | blk.8.attn_output.weight | Block 8 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 110 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 111 | blk.8.attn_q_norm.weight | Block 8 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 112 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 113 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 114 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 115 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 116 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 117 | blk.8.post_attention_norm.weight | Block 8 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 118 | blk.8.post_ffw_norm.weight | Block 8 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.8: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_9">Block 9 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 119 | blk.9.attn_k.weight | Block 9 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 120 | blk.9.attn_k_norm.weight | Block 9 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 121 | blk.9.attn_norm.weight | Block 9 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 122 | blk.9.attn_output.weight | Block 9 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 123 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 124 | blk.9.attn_q_norm.weight | Block 9 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 125 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 126 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 127 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 128 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 129 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 130 | blk.9.post_attention_norm.weight | Block 9 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 131 | blk.9.post_ffw_norm.weight | Block 9 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.9: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_10">Block 10 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 132 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 133 | blk.10.attn_k_norm.weight | Block 10 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 134 | blk.10.attn_norm.weight | Block 10 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 135 | blk.10.attn_output.weight | Block 10 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 136 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 137 | blk.10.attn_q_norm.weight | Block 10 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 138 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 139 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 140 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 141 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 142 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 143 | blk.10.post_attention_norm.weight | Block 10 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 144 | blk.10.post_ffw_norm.weight | Block 10 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.10: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_11">Block 11 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 145 | blk.11.attn_k.weight | Block 11 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 146 | blk.11.attn_k_norm.weight | Block 11 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 147 | blk.11.attn_norm.weight | Block 11 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 148 | blk.11.attn_output.weight | Block 11 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 149 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 150 | blk.11.attn_q_norm.weight | Block 11 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 151 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 152 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 153 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 154 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 155 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 156 | blk.11.post_attention_norm.weight | Block 11 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 157 | blk.11.post_ffw_norm.weight | Block 11 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.11: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_12">Block 12 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 158 | blk.12.attn_k.weight | Block 12 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 159 | blk.12.attn_k_norm.weight | Block 12 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 160 | blk.12.attn_norm.weight | Block 12 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 161 | blk.12.attn_output.weight | Block 12 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 162 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 163 | blk.12.attn_q_norm.weight | Block 12 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 164 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 165 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 166 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 167 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 168 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 169 | blk.12.post_attention_norm.weight | Block 12 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 170 | blk.12.post_ffw_norm.weight | Block 12 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.12: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_13">Block 13 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 171 | blk.13.attn_k.weight | Block 13 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 172 | blk.13.attn_k_norm.weight | Block 13 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 173 | blk.13.attn_norm.weight | Block 13 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 174 | blk.13.attn_output.weight | Block 13 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 175 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 176 | blk.13.attn_q_norm.weight | Block 13 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 177 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 178 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 179 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 180 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 181 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 182 | blk.13.post_attention_norm.weight | Block 13 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 183 | blk.13.post_ffw_norm.weight | Block 13 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.13: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_14">Block 14 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 184 | blk.14.attn_k.weight | Block 14 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 185 | blk.14.attn_k_norm.weight | Block 14 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 186 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 187 | blk.14.attn_output.weight | Block 14 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 188 | blk.14.attn_q.weight | Block 14 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 189 | blk.14.attn_q_norm.weight | Block 14 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 190 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 191 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 192 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 193 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 194 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 195 | blk.14.post_attention_norm.weight | Block 14 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 196 | blk.14.post_ffw_norm.weight | Block 14 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.14: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_15">Block 15 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 197 | blk.15.attn_k.weight | Block 15 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 198 | blk.15.attn_k_norm.weight | Block 15 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 199 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 200 | blk.15.attn_output.weight | Block 15 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 201 | blk.15.attn_q.weight | Block 15 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 202 | blk.15.attn_q_norm.weight | Block 15 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 203 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 204 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 205 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 206 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 207 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 208 | blk.15.post_attention_norm.weight | Block 15 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 209 | blk.15.post_ffw_norm.weight | Block 15 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.15: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_16">Block 16 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 210 | blk.16.attn_k.weight | Block 16 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 211 | blk.16.attn_k_norm.weight | Block 16 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 212 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 213 | blk.16.attn_output.weight | Block 16 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 214 | blk.16.attn_q.weight | Block 16 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 215 | blk.16.attn_q_norm.weight | Block 16 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 216 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 217 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 218 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 219 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 220 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 221 | blk.16.post_attention_norm.weight | Block 16 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 222 | blk.16.post_ffw_norm.weight | Block 16 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.16: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_17">Block 17 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 223 | blk.17.attn_k.weight | Block 17 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 224 | blk.17.attn_k_norm.weight | Block 17 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 225 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 226 | blk.17.attn_output.weight | Block 17 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 227 | blk.17.attn_q.weight | Block 17 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 228 | blk.17.attn_q_norm.weight | Block 17 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 229 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 230 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 231 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 232 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 233 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 234 | blk.17.post_attention_norm.weight | Block 17 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 235 | blk.17.post_ffw_norm.weight | Block 17 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.17: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_18">Block 18 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 236 | blk.18.attn_k.weight | Block 18 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 237 | blk.18.attn_k_norm.weight | Block 18 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 238 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 239 | blk.18.attn_output.weight | Block 18 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 240 | blk.18.attn_q.weight | Block 18 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 241 | blk.18.attn_q_norm.weight | Block 18 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 242 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 243 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 244 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 245 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 246 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 247 | blk.18.post_attention_norm.weight | Block 18 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 248 | blk.18.post_ffw_norm.weight | Block 18 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.18: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_19">Block 19 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 249 | blk.19.attn_k.weight | Block 19 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 250 | blk.19.attn_k_norm.weight | Block 19 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 251 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 252 | blk.19.attn_output.weight | Block 19 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 253 | blk.19.attn_q.weight | Block 19 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 254 | blk.19.attn_q_norm.weight | Block 19 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 255 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 256 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 257 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 258 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 259 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 260 | blk.19.post_attention_norm.weight | Block 19 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 261 | blk.19.post_ffw_norm.weight | Block 19 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.19: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_20">Block 20 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 262 | blk.20.attn_k.weight | Block 20 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 263 | blk.20.attn_k_norm.weight | Block 20 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 264 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 265 | blk.20.attn_output.weight | Block 20 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 266 | blk.20.attn_q.weight | Block 20 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 267 | blk.20.attn_q_norm.weight | Block 20 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 268 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 269 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 270 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 271 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 272 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 273 | blk.20.post_attention_norm.weight | Block 20 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 274 | blk.20.post_ffw_norm.weight | Block 20 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.20: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_21">Block 21 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 275 | blk.21.attn_k.weight | Block 21 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 276 | blk.21.attn_k_norm.weight | Block 21 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 277 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 278 | blk.21.attn_output.weight | Block 21 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 279 | blk.21.attn_q.weight | Block 21 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 280 | blk.21.attn_q_norm.weight | Block 21 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 281 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 282 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 283 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 284 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 285 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 286 | blk.21.post_attention_norm.weight | Block 21 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 287 | blk.21.post_ffw_norm.weight | Block 21 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.21: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_22">Block 22 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 288 | blk.22.attn_k.weight | Block 22 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 289 | blk.22.attn_k_norm.weight | Block 22 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 290 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 291 | blk.22.attn_output.weight | Block 22 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 292 | blk.22.attn_q.weight | Block 22 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 293 | blk.22.attn_q_norm.weight | Block 22 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 294 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 295 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 296 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 297 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 298 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 299 | blk.22.post_attention_norm.weight | Block 22 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 300 | blk.22.post_ffw_norm.weight | Block 22 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.22: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_23">Block 23 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 301 | blk.23.attn_k.weight | Block 23 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 302 | blk.23.attn_k_norm.weight | Block 23 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 303 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 304 | blk.23.attn_output.weight | Block 23 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 305 | blk.23.attn_q.weight | Block 23 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 306 | blk.23.attn_q_norm.weight | Block 23 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 307 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 308 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 309 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 310 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 311 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 312 | blk.23.post_attention_norm.weight | Block 23 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 313 | blk.23.post_ffw_norm.weight | Block 23 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.23: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_24">Block 24 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 314 | blk.24.attn_k.weight | Block 24 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 315 | blk.24.attn_k_norm.weight | Block 24 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 316 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 317 | blk.24.attn_output.weight | Block 24 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 318 | blk.24.attn_q.weight | Block 24 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 319 | blk.24.attn_q_norm.weight | Block 24 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 320 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 321 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 322 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 323 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 324 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 325 | blk.24.post_attention_norm.weight | Block 24 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 326 | blk.24.post_ffw_norm.weight | Block 24 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.24: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_25">Block 25 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 327 | blk.25.attn_k.weight | Block 25 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 328 | blk.25.attn_k_norm.weight | Block 25 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 329 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 330 | blk.25.attn_output.weight | Block 25 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 331 | blk.25.attn_q.weight | Block 25 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 332 | blk.25.attn_q_norm.weight | Block 25 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 333 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 334 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 335 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 336 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 337 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 338 | blk.25.post_attention_norm.weight | Block 25 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 339 | blk.25.post_ffw_norm.weight | Block 25 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.25: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_26">Block 26 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 340 | blk.26.attn_k.weight | Block 26 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 341 | blk.26.attn_k_norm.weight | Block 26 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 342 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 343 | blk.26.attn_output.weight | Block 26 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 344 | blk.26.attn_q.weight | Block 26 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 345 | blk.26.attn_q_norm.weight | Block 26 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 346 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 347 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 348 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 349 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 350 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 351 | blk.26.post_attention_norm.weight | Block 26 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 352 | blk.26.post_ffw_norm.weight | Block 26 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.26: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_27">Block 27 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 353 | blk.27.attn_k.weight | Block 27 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 354 | blk.27.attn_k_norm.weight | Block 27 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 355 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 356 | blk.27.attn_output.weight | Block 27 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 357 | blk.27.attn_q.weight | Block 27 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 358 | blk.27.attn_q_norm.weight | Block 27 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 359 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 360 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 361 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 362 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 363 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 364 | blk.27.post_attention_norm.weight | Block 27 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 365 | blk.27.post_ffw_norm.weight | Block 27 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.27: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_28">Block 28 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 366 | blk.28.attn_k.weight | Block 28 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 367 | blk.28.attn_k_norm.weight | Block 28 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 368 | blk.28.attn_norm.weight | Block 28 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 369 | blk.28.attn_output.weight | Block 28 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 370 | blk.28.attn_q.weight | Block 28 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 371 | blk.28.attn_q_norm.weight | Block 28 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 372 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 373 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 374 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 375 | blk.28.ffn_norm.weight | Block 28 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 376 | blk.28.ffn_up.weight | Block 28 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 377 | blk.28.post_attention_norm.weight | Block 28 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 378 | blk.28.post_ffw_norm.weight | Block 28 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.28: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_29">Block 29 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 379 | blk.29.attn_k.weight | Block 29 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 380 | blk.29.attn_k_norm.weight | Block 29 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 381 | blk.29.attn_norm.weight | Block 29 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 382 | blk.29.attn_output.weight | Block 29 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 383 | blk.29.attn_q.weight | Block 29 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 384 | blk.29.attn_q_norm.weight | Block 29 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 385 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 386 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 387 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 388 | blk.29.ffn_norm.weight | Block 29 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 389 | blk.29.ffn_up.weight | Block 29 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 390 | blk.29.post_attention_norm.weight | Block 29 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 391 | blk.29.post_ffw_norm.weight | Block 29 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.29: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_30">Block 30 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 392 | blk.30.attn_k.weight | Block 30 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 393 | blk.30.attn_k_norm.weight | Block 30 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 394 | blk.30.attn_norm.weight | Block 30 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 395 | blk.30.attn_output.weight | Block 30 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 396 | blk.30.attn_q.weight | Block 30 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 397 | blk.30.attn_q_norm.weight | Block 30 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 398 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 399 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 400 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 401 | blk.30.ffn_norm.weight | Block 30 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 402 | blk.30.ffn_up.weight | Block 30 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 403 | blk.30.post_attention_norm.weight | Block 30 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 404 | blk.30.post_ffw_norm.weight | Block 30 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.30: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_31">Block 31 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 405 | blk.31.attn_k.weight | Block 31 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 406 | blk.31.attn_k_norm.weight | Block 31 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 407 | blk.31.attn_norm.weight | Block 31 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 408 | blk.31.attn_output.weight | Block 31 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 409 | blk.31.attn_q.weight | Block 31 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 410 | blk.31.attn_q_norm.weight | Block 31 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 411 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 412 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 413 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 414 | blk.31.ffn_norm.weight | Block 31 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 415 | blk.31.ffn_up.weight | Block 31 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 416 | blk.31.post_attention_norm.weight | Block 31 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 417 | blk.31.post_ffw_norm.weight | Block 31 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.31: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_32">Block 32 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 418 | blk.32.attn_k.weight | Block 32 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 419 | blk.32.attn_k_norm.weight | Block 32 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 420 | blk.32.attn_norm.weight | Block 32 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 421 | blk.32.attn_output.weight | Block 32 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 422 | blk.32.attn_q.weight | Block 32 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 423 | blk.32.attn_q_norm.weight | Block 32 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 424 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 425 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 426 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 427 | blk.32.ffn_norm.weight | Block 32 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 428 | blk.32.ffn_up.weight | Block 32 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 429 | blk.32.post_attention_norm.weight | Block 32 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 430 | blk.32.post_ffw_norm.weight | Block 32 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.32: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_33">Block 33 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 431 | blk.33.attn_k.weight | Block 33 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 432 | blk.33.attn_k_norm.weight | Block 33 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 433 | blk.33.attn_norm.weight | Block 33 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 434 | blk.33.attn_output.weight | Block 33 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 435 | blk.33.attn_q.weight | Block 33 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 436 | blk.33.attn_q_norm.weight | Block 33 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 437 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 438 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 439 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 440 | blk.33.ffn_norm.weight | Block 33 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 441 | blk.33.ffn_up.weight | Block 33 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 442 | blk.33.post_attention_norm.weight | Block 33 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 443 | blk.33.post_ffw_norm.weight | Block 33 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.33: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_34">Block 34 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 444 | blk.34.attn_k.weight | Block 34 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 445 | blk.34.attn_k_norm.weight | Block 34 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 446 | blk.34.attn_norm.weight | Block 34 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 447 | blk.34.attn_output.weight | Block 34 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 448 | blk.34.attn_q.weight | Block 34 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 449 | blk.34.attn_q_norm.weight | Block 34 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 450 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 451 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 452 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 453 | blk.34.ffn_norm.weight | Block 34 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 454 | blk.34.ffn_up.weight | Block 34 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 455 | blk.34.post_attention_norm.weight | Block 34 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 456 | blk.34.post_ffw_norm.weight | Block 34 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.34: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_35">Block 35 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 457 | blk.35.attn_k.weight | Block 35 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 458 | blk.35.attn_k_norm.weight | Block 35 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 459 | blk.35.attn_norm.weight | Block 35 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 460 | blk.35.attn_output.weight | Block 35 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 461 | blk.35.attn_q.weight | Block 35 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 462 | blk.35.attn_q_norm.weight | Block 35 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 463 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 464 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 465 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 466 | blk.35.ffn_norm.weight | Block 35 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 467 | blk.35.ffn_up.weight | Block 35 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 468 | blk.35.post_attention_norm.weight | Block 35 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 469 | blk.35.post_ffw_norm.weight | Block 35 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.35: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_36">Block 36 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 470 | blk.36.attn_k.weight | Block 36 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 471 | blk.36.attn_k_norm.weight | Block 36 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 472 | blk.36.attn_norm.weight | Block 36 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 473 | blk.36.attn_output.weight | Block 36 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 474 | blk.36.attn_q.weight | Block 36 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 475 | blk.36.attn_q_norm.weight | Block 36 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 476 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 477 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 478 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 479 | blk.36.ffn_norm.weight | Block 36 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 480 | blk.36.ffn_up.weight | Block 36 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 481 | blk.36.post_attention_norm.weight | Block 36 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 482 | blk.36.post_ffw_norm.weight | Block 36 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.36: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_37">Block 37 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 483 | blk.37.attn_k.weight | Block 37 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 484 | blk.37.attn_k_norm.weight | Block 37 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 485 | blk.37.attn_norm.weight | Block 37 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 486 | blk.37.attn_output.weight | Block 37 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 487 | blk.37.attn_q.weight | Block 37 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 488 | blk.37.attn_q_norm.weight | Block 37 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 489 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 490 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 491 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 492 | blk.37.ffn_norm.weight | Block 37 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 493 | blk.37.ffn_up.weight | Block 37 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 494 | blk.37.post_attention_norm.weight | Block 37 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 495 | blk.37.post_ffw_norm.weight | Block 37 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.37: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_38">Block 38 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 496 | blk.38.attn_k.weight | Block 38 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 497 | blk.38.attn_k_norm.weight | Block 38 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 498 | blk.38.attn_norm.weight | Block 38 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 499 | blk.38.attn_output.weight | Block 38 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 500 | blk.38.attn_q.weight | Block 38 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 501 | blk.38.attn_q_norm.weight | Block 38 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 502 | blk.38.attn_v.weight | Block 38 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 503 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 504 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 505 | blk.38.ffn_norm.weight | Block 38 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 506 | blk.38.ffn_up.weight | Block 38 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 507 | blk.38.post_attention_norm.weight | Block 38 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 508 | blk.38.post_ffw_norm.weight | Block 38 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.38: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_39">Block 39 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 509 | blk.39.attn_k.weight | Block 39 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 510 | blk.39.attn_k_norm.weight | Block 39 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 511 | blk.39.attn_norm.weight | Block 39 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 512 | blk.39.attn_output.weight | Block 39 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 513 | blk.39.attn_q.weight | Block 39 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 514 | blk.39.attn_q_norm.weight | Block 39 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 515 | blk.39.attn_v.weight | Block 39 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 516 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 517 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 518 | blk.39.ffn_norm.weight | Block 39 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 519 | blk.39.ffn_up.weight | Block 39 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 520 | blk.39.post_attention_norm.weight | Block 39 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 521 | blk.39.post_ffw_norm.weight | Block 39 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.39: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_40">Block 40 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 522 | blk.40.attn_k.weight | Block 40 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 523 | blk.40.attn_k_norm.weight | Block 40 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 524 | blk.40.attn_norm.weight | Block 40 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 525 | blk.40.attn_output.weight | Block 40 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 526 | blk.40.attn_q.weight | Block 40 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 527 | blk.40.attn_q_norm.weight | Block 40 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 528 | blk.40.attn_v.weight | Block 40 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 529 | blk.40.ffn_down.weight | Block 40 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 530 | blk.40.ffn_gate.weight | Block 40 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 531 | blk.40.ffn_norm.weight | Block 40 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 532 | blk.40.ffn_up.weight | Block 40 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
|
|
| 533 | blk.40.post_attention_norm.weight | Block 40 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 534 | blk.40.post_ffw_norm.weight | Block 40 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.40: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_41">Block 41 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 535 | blk.41.attn_k.weight | Block 41 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 536 | blk.41.attn_k_norm.weight | Block 41 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 537 | blk.41.attn_norm.weight | Block 41 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 538 | blk.41.attn_output.weight | Block 41 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 539 | blk.41.attn_q.weight | Block 41 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 540 | blk.41.attn_q_norm.weight | Block 41 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 541 | blk.41.attn_v.weight | Block 41 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 542 | blk.41.ffn_down.weight | Block 41 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 543 | blk.41.ffn_gate.weight | Block 41 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 544 | blk.41.ffn_norm.weight | Block 41 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 545 | blk.41.ffn_up.weight | Block 41 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 546 | blk.41.post_attention_norm.weight | Block 41 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 547 | blk.41.post_ffw_norm.weight | Block 41 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.41: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_42">Block 42 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 548 | blk.42.attn_k.weight | Block 42 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 549 | blk.42.attn_k_norm.weight | Block 42 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 550 | blk.42.attn_norm.weight | Block 42 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 551 | blk.42.attn_output.weight | Block 42 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 552 | blk.42.attn_q.weight | Block 42 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 553 | blk.42.attn_q_norm.weight | Block 42 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 554 | blk.42.attn_v.weight | Block 42 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 555 | blk.42.ffn_down.weight | Block 42 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 556 | blk.42.ffn_gate.weight | Block 42 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 557 | blk.42.ffn_norm.weight | Block 42 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 558 | blk.42.ffn_up.weight | Block 42 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 559 | blk.42.post_attention_norm.weight | Block 42 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 560 | blk.42.post_ffw_norm.weight | Block 42 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.42: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_43">Block 43 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 561 | blk.43.attn_k.weight | Block 43 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q2_K |
|
|
| 562 | blk.43.attn_k_norm.weight | Block 43 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 563 | blk.43.attn_norm.weight | Block 43 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 564 | blk.43.attn_output.weight | Block 43 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 565 | blk.43.attn_q.weight | Block 43 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K |
|
|
| 566 | blk.43.attn_q_norm.weight | Block 43 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 567 | blk.43.attn_v.weight | Block 43 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 568 | blk.43.ffn_down.weight | Block 43 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K |
|
|
| 569 | blk.43.ffn_gate.weight | Block 43 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 570 | blk.43.ffn_norm.weight | Block 43 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 571 | blk.43.ffn_up.weight | Block 43 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K |
|
|
| 572 | blk.43.post_attention_norm.weight | Block 43 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 573 | blk.43.post_ffw_norm.weight | Block 43 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
|
|
- Total elements in blk.43: (~224M) 224148992
|
|
- Percentage of total elements: 1.98%
|
|
|
|
|
|
### <a name="blk_44">Block 44 Tensor Group : ~224M Elements</a>
|
|
|
|
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|
|
|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
|
|
| 574 | blk.44.attn_k.weight | Block 44 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
|
|
| 575 | blk.44.attn_k_norm.weight | Block 44 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 576 | blk.44.attn_norm.weight | Block 44 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
|
|
| 577 | blk.44.attn_output.weight | Block 44 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
|
|
| 578 | blk.44.attn_q.weight | Block 44 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
|
|
| 579 | blk.44.attn_q_norm.weight | Block 44 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
|
|
| 580 | blk.44.attn_v.weight | Block 44 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
|
|
| 581 | blk.44.ffn_down.weight | Block 44 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
|
|
| 582 | blk.44.ffn_gate.weight | Block 44 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
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| 583 | blk.44.ffn_norm.weight | Block 44 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
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| 584 | blk.44.ffn_up.weight | Block 44 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
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| 585 | blk.44.post_attention_norm.weight | Block 44 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
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| 586 | blk.44.post_ffw_norm.weight | Block 44 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
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- Total elements in blk.44: (~224M) 224148992
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- Percentage of total elements: 1.98%
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### <a name="blk_45">Block 45 Tensor Group : ~224M Elements</a>
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| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
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|-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|
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| 587 | blk.45.attn_k.weight | Block 45 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q3_K |
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| 588 | blk.45.attn_k_norm.weight | Block 45 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
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| 589 | blk.45.attn_norm.weight | Block 45 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
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| 590 | blk.45.attn_output.weight | Block 45 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | Q5_K |
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| 591 | blk.45.attn_q.weight | Block 45 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K |
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| 592 | blk.45.attn_q_norm.weight | Block 45 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 |
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| 593 | blk.45.attn_v.weight | Block 45 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | Q4_K |
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| 594 | blk.45.ffn_down.weight | Block 45 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q5_K |
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| 595 | blk.45.ffn_gate.weight | Block 45 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
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| 596 | blk.45.ffn_norm.weight | Block 45 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
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| 597 | blk.45.ffn_up.weight | Block 45 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K |
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| 598 | blk.45.post_attention_norm.weight | Block 45 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
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| 599 | blk.45.post_ffw_norm.weight | Block 45 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 |
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- Total elements in blk.45: (~224M) 224148992
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- Percentage of total elements: 1.98%
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