# granite-4.1-8b-WIP/granite-4.1-8b-Q7_K.gguf - GGUF Internal File Dump
- Endian: LITTLE endian
## Key Value Metadata Store
There are 42 key-value pairs in this file
| POS | TYPE | Count | Key | Value |
|----:|:---------|-------:|:-----------------------------------------|:--------------------------------------------------------------------|
| 1 | UINT32 | 1 | GGUF.version | 3 |
| 2 | UINT64 | 1 | GGUF.tensor_count | 363 |
| 3 | UINT64 | 1 | GGUF.kv_count | 39 |
| 4 | STRING | 1 | general.architecture | `granite` |
| 5 | STRING | 1 | general.type | `model` |
| 6 | STRING | 1 | general.name | `Granite 4.1 8b` |
| 7 | STRING | 1 | general.basename | `granite-4.1` |
| 8 | STRING | 1 | general.size_label | `8B` |
| 9 | STRING | 1 | general.license | `apache-2.0` |
| 10 | [STRING] | 2 | general.tags | [ `language`, `granite-4.1` ] |
| 11 | UINT32 | 1 | granite.block_count | 40 |
| 12 | UINT32 | 1 | granite.context_length | 131072 |
| 13 | UINT32 | 1 | granite.embedding_length | 4096 |
| 14 | UINT32 | 1 | granite.feed_forward_length | 12800 |
| 15 | UINT32 | 1 | granite.attention.head_count | 32 |
| 16 | UINT32 | 1 | granite.attention.head_count_kv | 8 |
| 17 | FLOAT32 | 1 | granite.rope.freq_base | 10000000.0 |
| 18 | FLOAT32 | 1 | granite.attention.layer_norm_rms_epsilon | 1e-05 |
| 19 | UINT32 | 1 | granite.vocab_size | 100352 |
| 20 | UINT32 | 1 | granite.rope.dimension_count | 128 |
| 21 | FLOAT32 | 1 | granite.attention.scale | 0.0078125 |
| 22 | FLOAT32 | 1 | granite.embedding_scale | 12.0 |
| 23 | FLOAT32 | 1 | granite.residual_scale | 0.22 |
| 24 | FLOAT32 | 1 | granite.logit_scale | 16.0 |
| 25 | STRING | 1 | tokenizer.ggml.model | `gpt2` |
| 26 | STRING | 1 | tokenizer.ggml.pre | `granite-docling` |
| 27 | [STRING] | 100352 | tokenizer.ggml.tokens | [ `!`, `"`, `#`, `$`, `%`, ... ] |
| 28 | [INT32] | 100352 | tokenizer.ggml.token_type | [ 1, 1, 1, 1, 1, 1, 1, ... ] |
| 29 | [STRING] | 100000 | tokenizer.ggml.merges | [ `Ġ Ġ`, `ĠĠ ĠĠ`, `i n`, `Ġ t`, `ĠĠĠĠ ĠĠĠĠ`, ... ] |
| 30 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 100257 |
| 31 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 100257 |
| 32 | UINT32 | 1 | tokenizer.ggml.unknown_token_id | 100269 |
| 33 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 100256 |
| 34 | BOOL | 1 | tokenizer.ggml.add_bos_token | False |
| 35 | STRING | 1 | tokenizer.chat_template | `{%- set tools_system_message_p`...`end_of_role|>' }}{%- endif %}` |
| 36 | BOOL | 1 | tokenizer.ggml.add_space_prefix | False |
| 37 | UINT32 | 1 | general.quantization_version | 2 |
| 38 | UINT32 | 1 | general.file_type | 7 |
| 39 | STRING | 1 | quantize.imatrix.file | `imatrix/imatrix-granite-4.1-8b-medium.gguf` |
| 40 | STRING | 1 | quantize.imatrix.dataset | `../../datasets/imatrix/combined_all_medium.txt` |
| 41 | UINT32 | 1 | quantize.imatrix.entries_count | 280 |
| 42 | UINT32 | 1 | quantize.imatrix.chunks_count | 3601 |
## Tensors Overview ~9B Elements
Total number of elements in all tensors: 8791592960 Elements
- [granite-4.1-8b-WIP/granite-4.1-8b-Q7\_K.gguf - GGUF Internal File Dump](#granite-41-8b-wipgranite-41-8b-q7_kgguf---gguf-internal-file-dump)
- [Key Value Metadata Store](#key-value-metadata-store)
- [Tensors Overview ~9B Elements](#tensors-overview-9b-elements)
- [Tensor Data Offset](#tensor-data-offset)
- [Base Tensor Group : ~822M Elements](#base-tensor-group--822m-elements)
- [Block 0 Tensor Group : ~199M Elements](#block-0-tensor-group--199m-elements)
- [Block 1 Tensor Group : ~199M Elements](#block-1-tensor-group--199m-elements)
- [Block 2 Tensor Group : ~199M Elements](#block-2-tensor-group--199m-elements)
- [Block 3 Tensor Group : ~199M Elements](#block-3-tensor-group--199m-elements)
- [Block 4 Tensor Group : ~199M Elements](#block-4-tensor-group--199m-elements)
- [Block 5 Tensor Group : ~199M Elements](#block-5-tensor-group--199m-elements)
- [Block 6 Tensor Group : ~199M Elements](#block-6-tensor-group--199m-elements)
- [Block 7 Tensor Group : ~199M Elements](#block-7-tensor-group--199m-elements)
- [Block 8 Tensor Group : ~199M Elements](#block-8-tensor-group--199m-elements)
- [Block 9 Tensor Group : ~199M Elements](#block-9-tensor-group--199m-elements)
- [Block 10 Tensor Group : ~199M Elements](#block-10-tensor-group--199m-elements)
- [Block 11 Tensor Group : ~199M Elements](#block-11-tensor-group--199m-elements)
- [Block 12 Tensor Group : ~199M Elements](#block-12-tensor-group--199m-elements)
- [Block 13 Tensor Group : ~199M Elements](#block-13-tensor-group--199m-elements)
- [Block 14 Tensor Group : ~199M Elements](#block-14-tensor-group--199m-elements)
- [Block 15 Tensor Group : ~199M Elements](#block-15-tensor-group--199m-elements)
- [Block 16 Tensor Group : ~199M Elements](#block-16-tensor-group--199m-elements)
- [Block 17 Tensor Group : ~199M Elements](#block-17-tensor-group--199m-elements)
- [Block 18 Tensor Group : ~199M Elements](#block-18-tensor-group--199m-elements)
- [Block 19 Tensor Group : ~199M Elements](#block-19-tensor-group--199m-elements)
- [Block 20 Tensor Group : ~199M Elements](#block-20-tensor-group--199m-elements)
- [Block 21 Tensor Group : ~199M Elements](#block-21-tensor-group--199m-elements)
- [Block 22 Tensor Group : ~199M Elements](#block-22-tensor-group--199m-elements)
- [Block 23 Tensor Group : ~199M Elements](#block-23-tensor-group--199m-elements)
- [Block 24 Tensor Group : ~199M Elements](#block-24-tensor-group--199m-elements)
- [Block 25 Tensor Group : ~199M Elements](#block-25-tensor-group--199m-elements)
- [Block 26 Tensor Group : ~199M Elements](#block-26-tensor-group--199m-elements)
- [Block 27 Tensor Group : ~199M Elements](#block-27-tensor-group--199m-elements)
- [Block 28 Tensor Group : ~199M Elements](#block-28-tensor-group--199m-elements)
- [Block 29 Tensor Group : ~199M Elements](#block-29-tensor-group--199m-elements)
- [Block 30 Tensor Group : ~199M Elements](#block-30-tensor-group--199m-elements)
- [Block 31 Tensor Group : ~199M Elements](#block-31-tensor-group--199m-elements)
- [Block 32 Tensor Group : ~199M Elements](#block-32-tensor-group--199m-elements)
- [Block 33 Tensor Group : ~199M Elements](#block-33-tensor-group--199m-elements)
- [Block 34 Tensor Group : ~199M Elements](#block-34-tensor-group--199m-elements)
- [Block 35 Tensor Group : ~199M Elements](#block-35-tensor-group--199m-elements)
- [Block 36 Tensor Group : ~199M Elements](#block-36-tensor-group--199m-elements)
- [Block 37 Tensor Group : ~199M Elements](#block-37-tensor-group--199m-elements)
- [Block 38 Tensor Group : ~199M Elements](#block-38-tensor-group--199m-elements)
- [Block 39 Tensor Group : ~199M Elements](#block-39-tensor-group--199m-elements)
### Tensor Data Offset
This table contains the offset and data segment relative to start of file
| T_ID | Tensor Layer Name | Data Offset (B) | Data Size (B) |
|-----:|:--------------------------|-----------------:|-----------------:|
| 0 | output.weight | 0x367400 | 0x1a080000 |
| 1 | output_norm.weight | 0x1a3e7400 | 0x4000 |
| 2 | token_embd.weight | 0x1a3eb400 | 0x1a080000 |
| 3 | blk.0.attn_k.weight | 0x3446b400 | 0x348000 |
| 4 | blk.0.attn_norm.weight | 0x347b3400 | 0x4000 |
| 5 | blk.0.attn_output.weight | 0x347b7400 | 0xd20000 |
| 6 | blk.0.attn_q.weight | 0x354d7400 | 0xc00000 |
| 7 | blk.0.attn_v.weight | 0x360d7400 | 0x440000 |
| 8 | blk.0.ffn_down.weight | 0x36517400 | 0x2580000 |
| 9 | blk.0.ffn_gate.weight | 0x38a97400 | 0x2904000 |
| 10 | blk.0.ffn_norm.weight | 0x3b39b400 | 0x4000 |
| 11 | blk.0.ffn_up.weight | 0x3b39f400 | 0x3520000 |
| 12 | blk.1.attn_k.weight | 0x3e8bf400 | 0x348000 |
| 13 | blk.1.attn_norm.weight | 0x3ec07400 | 0x4000 |
| 14 | blk.1.attn_output.weight | 0x3ec0b400 | 0x1100000 |
| 15 | blk.1.attn_q.weight | 0x3fd0b400 | 0xd20000 |
| 16 | blk.1.attn_v.weight | 0x40a2b400 | 0x440000 |
| 17 | blk.1.ffn_down.weight | 0x40e6b400 | 0x2904000 |
| 18 | blk.1.ffn_gate.weight | 0x4376f400 | 0x2904000 |
| 19 | blk.1.ffn_norm.weight | 0x46073400 | 0x4000 |
| 20 | blk.1.ffn_up.weight | 0x46077400 | 0x3520000 |
| 21 | blk.2.attn_k.weight | 0x49597400 | 0x348000 |
| 22 | blk.2.attn_norm.weight | 0x498df400 | 0x4000 |
| 23 | blk.2.attn_output.weight | 0x498e3400 | 0x1100000 |
| 24 | blk.2.attn_q.weight | 0x4a9e3400 | 0xd20000 |
| 25 | blk.2.attn_v.weight | 0x4b703400 | 0x440000 |
| 26 | blk.2.ffn_down.weight | 0x4bb43400 | 0x2904000 |
| 27 | blk.2.ffn_gate.weight | 0x4e447400 | 0x2904000 |
| 28 | blk.2.ffn_norm.weight | 0x50d4b400 | 0x4000 |
| 29 | blk.2.ffn_up.weight | 0x50d4f400 | 0x3520000 |
| 30 | blk.3.attn_k.weight | 0x5426f400 | 0x348000 |
| 31 | blk.3.attn_norm.weight | 0x545b7400 | 0x4000 |
| 32 | blk.3.attn_output.weight | 0x545bb400 | 0x1100000 |
| 33 | blk.3.attn_q.weight | 0x556bb400 | 0xd20000 |
| 34 | blk.3.attn_v.weight | 0x563db400 | 0x440000 |
| 35 | blk.3.ffn_down.weight | 0x5681b400 | 0x2580000 |
| 36 | blk.3.ffn_gate.weight | 0x58d9b400 | 0x3520000 |
| 37 | blk.3.ffn_norm.weight | 0x5c2bb400 | 0x4000 |
| 38 | blk.3.ffn_up.weight | 0x5c2bf400 | 0x3520000 |
| 39 | blk.4.attn_k.weight | 0x5f7df400 | 0x348000 |
| 40 | blk.4.attn_norm.weight | 0x5fb27400 | 0x4000 |
| 41 | blk.4.attn_output.weight | 0x5fb2b400 | 0x1100000 |
| 42 | blk.4.attn_q.weight | 0x60c2b400 | 0x1100000 |
| 43 | blk.4.attn_v.weight | 0x61d2b400 | 0x440000 |
| 44 | blk.4.ffn_down.weight | 0x6216b400 | 0x2904000 |
| 45 | blk.4.ffn_gate.weight | 0x64a6f400 | 0x2904000 |
| 46 | blk.4.ffn_norm.weight | 0x67373400 | 0x4000 |
| 47 | blk.4.ffn_up.weight | 0x67377400 | 0x3520000 |
| 48 | blk.5.attn_k.weight | 0x6a897400 | 0x348000 |
| 49 | blk.5.attn_norm.weight | 0x6abdf400 | 0x4000 |
| 50 | blk.5.attn_output.weight | 0x6abe3400 | 0x1100000 |
| 51 | blk.5.attn_q.weight | 0x6bce3400 | 0x1100000 |
| 52 | blk.5.attn_v.weight | 0x6cde3400 | 0x440000 |
| 53 | blk.5.ffn_down.weight | 0x6d223400 | 0x2580000 |
| 54 | blk.5.ffn_gate.weight | 0x6f7a3400 | 0x3520000 |
| 55 | blk.5.ffn_norm.weight | 0x72cc3400 | 0x4000 |
| 56 | blk.5.ffn_up.weight | 0x72cc7400 | 0x3520000 |
| 57 | blk.6.attn_k.weight | 0x761e7400 | 0x440000 |
| 58 | blk.6.attn_norm.weight | 0x76627400 | 0x4000 |
| 59 | blk.6.attn_output.weight | 0x7662b400 | 0x1100000 |
| 60 | blk.6.attn_q.weight | 0x7772b400 | 0x1100000 |
| 61 | blk.6.attn_v.weight | 0x7882b400 | 0x440000 |
| 62 | blk.6.ffn_down.weight | 0x78c6b400 | 0x2904000 |
| 63 | blk.6.ffn_gate.weight | 0x7b56f400 | 0x2904000 |
| 64 | blk.6.ffn_norm.weight | 0x7de73400 | 0x4000 |
| 65 | blk.6.ffn_up.weight | 0x7de77400 | 0x3520000 |
| 66 | blk.7.attn_k.weight | 0x81397400 | 0x440000 |
| 67 | blk.7.attn_norm.weight | 0x817d7400 | 0x4000 |
| 68 | blk.7.attn_output.weight | 0x817db400 | 0x1100000 |
| 69 | blk.7.attn_q.weight | 0x828db400 | 0x1100000 |
| 70 | blk.7.attn_v.weight | 0x839db400 | 0x440000 |
| 71 | blk.7.ffn_down.weight | 0x83e1b400 | 0x2904000 |
| 72 | blk.7.ffn_gate.weight | 0x8671f400 | 0x2904000 |
| 73 | blk.7.ffn_norm.weight | 0x89023400 | 0x4000 |
| 74 | blk.7.ffn_up.weight | 0x89027400 | 0x3520000 |
| 75 | blk.8.attn_k.weight | 0x8c547400 | 0x348000 |
| 76 | blk.8.attn_norm.weight | 0x8c88f400 | 0x4000 |
| 77 | blk.8.attn_output.weight | 0x8c893400 | 0x1100000 |
| 78 | blk.8.attn_q.weight | 0x8d993400 | 0xd20000 |
| 79 | blk.8.attn_v.weight | 0x8e6b3400 | 0x440000 |
| 80 | blk.8.ffn_down.weight | 0x8eaf3400 | 0x2904000 |
| 81 | blk.8.ffn_gate.weight | 0x913f7400 | 0x2904000 |
| 82 | blk.8.ffn_norm.weight | 0x93cfb400 | 0x4000 |
| 83 | blk.8.ffn_up.weight | 0x93cff400 | 0x3520000 |
| 84 | blk.9.attn_k.weight | 0x9721f400 | 0x348000 |
| 85 | blk.9.attn_norm.weight | 0x97567400 | 0x4000 |
| 86 | blk.9.attn_output.weight | 0x9756b400 | 0x1100000 |
| 87 | blk.9.attn_q.weight | 0x9866b400 | 0xd20000 |
| 88 | blk.9.attn_v.weight | 0x9938b400 | 0x440000 |
| 89 | blk.9.ffn_down.weight | 0x997cb400 | 0x2904000 |
| 90 | blk.9.ffn_gate.weight | 0x9c0cf400 | 0x2904000 |
| 91 | blk.9.ffn_norm.weight | 0x9e9d3400 | 0x4000 |
| 92 | blk.9.ffn_up.weight | 0x9e9d7400 | 0x3520000 |
| 93 | blk.10.attn_k.weight | 0xa1ef7400 | 0x348000 |
| 94 | blk.10.attn_norm.weight | 0xa223f400 | 0x4000 |
| 95 | blk.10.attn_output.weight | 0xa2243400 | 0x1100000 |
| 96 | blk.10.attn_q.weight | 0xa3343400 | 0xd20000 |
| 97 | blk.10.attn_v.weight | 0xa4063400 | 0x440000 |
| 98 | blk.10.ffn_down.weight | 0xa44a3400 | 0x2904000 |
| 99 | blk.10.ffn_gate.weight | 0xa6da7400 | 0x2904000 |
| 100 | blk.10.ffn_norm.weight | 0xa96ab400 | 0x4000 |
| 101 | blk.10.ffn_up.weight | 0xa96af400 | 0x3520000 |
| 102 | blk.11.attn_k.weight | 0xacbcf400 | 0x348000 |
| 103 | blk.11.attn_norm.weight | 0xacf17400 | 0x4000 |
| 104 | blk.11.attn_output.weight | 0xacf1b400 | 0x1100000 |
| 105 | blk.11.attn_q.weight | 0xae01b400 | 0xd20000 |
| 106 | blk.11.attn_v.weight | 0xaed3b400 | 0x440000 |
| 107 | blk.11.ffn_down.weight | 0xaf17b400 | 0x2904000 |
| 108 | blk.11.ffn_gate.weight | 0xb1a7f400 | 0x2904000 |
| 109 | blk.11.ffn_norm.weight | 0xb4383400 | 0x4000 |
| 110 | blk.11.ffn_up.weight | 0xb4387400 | 0x3520000 |
| 111 | blk.12.attn_k.weight | 0xb78a7400 | 0x348000 |
| 112 | blk.12.attn_norm.weight | 0xb7bef400 | 0x4000 |
| 113 | blk.12.attn_output.weight | 0xb7bf3400 | 0x1100000 |
| 114 | blk.12.attn_q.weight | 0xb8cf3400 | 0xd20000 |
| 115 | blk.12.attn_v.weight | 0xb9a13400 | 0x440000 |
| 116 | blk.12.ffn_down.weight | 0xb9e53400 | 0x2904000 |
| 117 | blk.12.ffn_gate.weight | 0xbc757400 | 0x2904000 |
| 118 | blk.12.ffn_norm.weight | 0xbf05b400 | 0x4000 |
| 119 | blk.12.ffn_up.weight | 0xbf05f400 | 0x3520000 |
| 120 | blk.13.attn_k.weight | 0xc257f400 | 0x348000 |
| 121 | blk.13.attn_norm.weight | 0xc28c7400 | 0x4000 |
| 122 | blk.13.attn_output.weight | 0xc28cb400 | 0x1100000 |
| 123 | blk.13.attn_q.weight | 0xc39cb400 | 0xd20000 |
| 124 | blk.13.attn_v.weight | 0xc46eb400 | 0x440000 |
| 125 | blk.13.ffn_down.weight | 0xc4b2b400 | 0x2904000 |
| 126 | blk.13.ffn_gate.weight | 0xc742f400 | 0x2904000 |
| 127 | blk.13.ffn_norm.weight | 0xc9d33400 | 0x4000 |
| 128 | blk.13.ffn_up.weight | 0xc9d37400 | 0x3520000 |
| 129 | blk.14.attn_k.weight | 0xcd257400 | 0x348000 |
| 130 | blk.14.attn_norm.weight | 0xcd59f400 | 0x4000 |
| 131 | blk.14.attn_output.weight | 0xcd5a3400 | 0x1100000 |
| 132 | blk.14.attn_q.weight | 0xce6a3400 | 0xd20000 |
| 133 | blk.14.attn_v.weight | 0xcf3c3400 | 0x440000 |
| 134 | blk.14.ffn_down.weight | 0xcf803400 | 0x2904000 |
| 135 | blk.14.ffn_gate.weight | 0xd2107400 | 0x2904000 |
| 136 | blk.14.ffn_norm.weight | 0xd4a0b400 | 0x4000 |
| 137 | blk.14.ffn_up.weight | 0xd4a0f400 | 0x3520000 |
| 138 | blk.15.attn_k.weight | 0xd7f2f400 | 0x440000 |
| 139 | blk.15.attn_norm.weight | 0xd836f400 | 0x4000 |
| 140 | blk.15.attn_output.weight | 0xd8373400 | 0x1100000 |
| 141 | blk.15.attn_q.weight | 0xd9473400 | 0x1100000 |
| 142 | blk.15.attn_v.weight | 0xda573400 | 0x440000 |
| 143 | blk.15.ffn_down.weight | 0xda9b3400 | 0x2904000 |
| 144 | blk.15.ffn_gate.weight | 0xdd2b7400 | 0x2904000 |
| 145 | blk.15.ffn_norm.weight | 0xdfbbb400 | 0x4000 |
| 146 | blk.15.ffn_up.weight | 0xdfbbf400 | 0x3520000 |
| 147 | blk.16.attn_k.weight | 0xe30df400 | 0x440000 |
| 148 | blk.16.attn_norm.weight | 0xe351f400 | 0x4000 |
| 149 | blk.16.attn_output.weight | 0xe3523400 | 0x1100000 |
| 150 | blk.16.attn_q.weight | 0xe4623400 | 0x1100000 |
| 151 | blk.16.attn_v.weight | 0xe5723400 | 0x440000 |
| 152 | blk.16.ffn_down.weight | 0xe5b63400 | 0x2904000 |
| 153 | blk.16.ffn_gate.weight | 0xe8467400 | 0x2904000 |
| 154 | blk.16.ffn_norm.weight | 0xead6b400 | 0x4000 |
| 155 | blk.16.ffn_up.weight | 0xead6f400 | 0x3520000 |
| 156 | blk.17.attn_k.weight | 0xee28f400 | 0x348000 |
| 157 | blk.17.attn_norm.weight | 0xee5d7400 | 0x4000 |
| 158 | blk.17.attn_output.weight | 0xee5db400 | 0x1100000 |
| 159 | blk.17.attn_q.weight | 0xef6db400 | 0xd20000 |
| 160 | blk.17.attn_v.weight | 0xf03fb400 | 0x440000 |
| 161 | blk.17.ffn_down.weight | 0xf083b400 | 0x2904000 |
| 162 | blk.17.ffn_gate.weight | 0xf313f400 | 0x2904000 |
| 163 | blk.17.ffn_norm.weight | 0xf5a43400 | 0x4000 |
| 164 | blk.17.ffn_up.weight | 0xf5a47400 | 0x3520000 |
| 165 | blk.18.attn_k.weight | 0xf8f67400 | 0x348000 |
| 166 | blk.18.attn_norm.weight | 0xf92af400 | 0x4000 |
| 167 | blk.18.attn_output.weight | 0xf92b3400 | 0x1100000 |
| 168 | blk.18.attn_q.weight | 0xfa3b3400 | 0xd20000 |
| 169 | blk.18.attn_v.weight | 0xfb0d3400 | 0x440000 |
| 170 | blk.18.ffn_down.weight | 0xfb513400 | 0x2904000 |
| 171 | blk.18.ffn_gate.weight | 0xfde17400 | 0x2904000 |
| 172 | blk.18.ffn_norm.weight | 0x10071b400 | 0x4000 |
| 173 | blk.18.ffn_up.weight | 0x10071f400 | 0x3520000 |
| 174 | blk.19.attn_k.weight | 0x103c3f400 | 0x348000 |
| 175 | blk.19.attn_norm.weight | 0x103f87400 | 0x4000 |
| 176 | blk.19.attn_output.weight | 0x103f8b400 | 0x1100000 |
| 177 | blk.19.attn_q.weight | 0x10508b400 | 0xd20000 |
| 178 | blk.19.attn_v.weight | 0x105dab400 | 0x440000 |
| 179 | blk.19.ffn_down.weight | 0x1061eb400 | 0x2904000 |
| 180 | blk.19.ffn_gate.weight | 0x108aef400 | 0x2904000 |
| 181 | blk.19.ffn_norm.weight | 0x10b3f3400 | 0x4000 |
| 182 | blk.19.ffn_up.weight | 0x10b3f7400 | 0x3520000 |
| 183 | blk.20.attn_k.weight | 0x10e917400 | 0x348000 |
| 184 | blk.20.attn_norm.weight | 0x10ec5f400 | 0x4000 |
| 185 | blk.20.attn_output.weight | 0x10ec63400 | 0x1100000 |
| 186 | blk.20.attn_q.weight | 0x10fd63400 | 0x1100000 |
| 187 | blk.20.attn_v.weight | 0x110e63400 | 0x440000 |
| 188 | blk.20.ffn_down.weight | 0x1112a3400 | 0x2904000 |
| 189 | blk.20.ffn_gate.weight | 0x113ba7400 | 0x2904000 |
| 190 | blk.20.ffn_norm.weight | 0x1164ab400 | 0x4000 |
| 191 | blk.20.ffn_up.weight | 0x1164af400 | 0x3520000 |
| 192 | blk.21.attn_k.weight | 0x1199cf400 | 0x348000 |
| 193 | blk.21.attn_norm.weight | 0x119d17400 | 0x4000 |
| 194 | blk.21.attn_output.weight | 0x119d1b400 | 0x1100000 |
| 195 | blk.21.attn_q.weight | 0x11ae1b400 | 0xd20000 |
| 196 | blk.21.attn_v.weight | 0x11bb3b400 | 0x440000 |
| 197 | blk.21.ffn_down.weight | 0x11bf7b400 | 0x2904000 |
| 198 | blk.21.ffn_gate.weight | 0x11e87f400 | 0x2904000 |
| 199 | blk.21.ffn_norm.weight | 0x121183400 | 0x4000 |
| 200 | blk.21.ffn_up.weight | 0x121187400 | 0x3520000 |
| 201 | blk.22.attn_k.weight | 0x1246a7400 | 0x348000 |
| 202 | blk.22.attn_norm.weight | 0x1249ef400 | 0x4000 |
| 203 | blk.22.attn_output.weight | 0x1249f3400 | 0x1100000 |
| 204 | blk.22.attn_q.weight | 0x125af3400 | 0xd20000 |
| 205 | blk.22.attn_v.weight | 0x126813400 | 0x440000 |
| 206 | blk.22.ffn_down.weight | 0x126c53400 | 0x2904000 |
| 207 | blk.22.ffn_gate.weight | 0x129557400 | 0x2904000 |
| 208 | blk.22.ffn_norm.weight | 0x12be5b400 | 0x4000 |
| 209 | blk.22.ffn_up.weight | 0x12be5f400 | 0x3520000 |
| 210 | blk.23.attn_k.weight | 0x12f37f400 | 0x348000 |
| 211 | blk.23.attn_norm.weight | 0x12f6c7400 | 0x4000 |
| 212 | blk.23.attn_output.weight | 0x12f6cb400 | 0x1100000 |
| 213 | blk.23.attn_q.weight | 0x1307cb400 | 0x1100000 |
| 214 | blk.23.attn_v.weight | 0x1318cb400 | 0x440000 |
| 215 | blk.23.ffn_down.weight | 0x131d0b400 | 0x2904000 |
| 216 | blk.23.ffn_gate.weight | 0x13460f400 | 0x2904000 |
| 217 | blk.23.ffn_norm.weight | 0x136f13400 | 0x4000 |
| 218 | blk.23.ffn_up.weight | 0x136f17400 | 0x3520000 |
| 219 | blk.24.attn_k.weight | 0x13a437400 | 0x348000 |
| 220 | blk.24.attn_norm.weight | 0x13a77f400 | 0x4000 |
| 221 | blk.24.attn_output.weight | 0x13a783400 | 0x1100000 |
| 222 | blk.24.attn_q.weight | 0x13b883400 | 0xd20000 |
| 223 | blk.24.attn_v.weight | 0x13c5a3400 | 0x440000 |
| 224 | blk.24.ffn_down.weight | 0x13c9e3400 | 0x2904000 |
| 225 | blk.24.ffn_gate.weight | 0x13f2e7400 | 0x2904000 |
| 226 | blk.24.ffn_norm.weight | 0x141beb400 | 0x4000 |
| 227 | blk.24.ffn_up.weight | 0x141bef400 | 0x3520000 |
| 228 | blk.25.attn_k.weight | 0x14510f400 | 0x348000 |
| 229 | blk.25.attn_norm.weight | 0x145457400 | 0x4000 |
| 230 | blk.25.attn_output.weight | 0x14545b400 | 0x1100000 |
| 231 | blk.25.attn_q.weight | 0x14655b400 | 0xd20000 |
| 232 | blk.25.attn_v.weight | 0x14727b400 | 0x440000 |
| 233 | blk.25.ffn_down.weight | 0x1476bb400 | 0x2904000 |
| 234 | blk.25.ffn_gate.weight | 0x149fbf400 | 0x2904000 |
| 235 | blk.25.ffn_norm.weight | 0x14c8c3400 | 0x4000 |
| 236 | blk.25.ffn_up.weight | 0x14c8c7400 | 0x3520000 |
| 237 | blk.26.attn_k.weight | 0x14fde7400 | 0x348000 |
| 238 | blk.26.attn_norm.weight | 0x15012f400 | 0x4000 |
| 239 | blk.26.attn_output.weight | 0x150133400 | 0x1100000 |
| 240 | blk.26.attn_q.weight | 0x151233400 | 0xd20000 |
| 241 | blk.26.attn_v.weight | 0x151f53400 | 0x440000 |
| 242 | blk.26.ffn_down.weight | 0x152393400 | 0x2904000 |
| 243 | blk.26.ffn_gate.weight | 0x154c97400 | 0x2904000 |
| 244 | blk.26.ffn_norm.weight | 0x15759b400 | 0x4000 |
| 245 | blk.26.ffn_up.weight | 0x15759f400 | 0x3520000 |
| 246 | blk.27.attn_k.weight | 0x15aabf400 | 0x348000 |
| 247 | blk.27.attn_norm.weight | 0x15ae07400 | 0x4000 |
| 248 | blk.27.attn_output.weight | 0x15ae0b400 | 0x1100000 |
| 249 | blk.27.attn_q.weight | 0x15bf0b400 | 0x1100000 |
| 250 | blk.27.attn_v.weight | 0x15d00b400 | 0x440000 |
| 251 | blk.27.ffn_down.weight | 0x15d44b400 | 0x2904000 |
| 252 | blk.27.ffn_gate.weight | 0x15fd4f400 | 0x2904000 |
| 253 | blk.27.ffn_norm.weight | 0x162653400 | 0x4000 |
| 254 | blk.27.ffn_up.weight | 0x162657400 | 0x3520000 |
| 255 | blk.28.attn_k.weight | 0x165b77400 | 0x440000 |
| 256 | blk.28.attn_norm.weight | 0x165fb7400 | 0x4000 |
| 257 | blk.28.attn_output.weight | 0x165fbb400 | 0x1100000 |
| 258 | blk.28.attn_q.weight | 0x1670bb400 | 0x1100000 |
| 259 | blk.28.attn_v.weight | 0x1681bb400 | 0x440000 |
| 260 | blk.28.ffn_down.weight | 0x1685fb400 | 0x2904000 |
| 261 | blk.28.ffn_gate.weight | 0x16aeff400 | 0x2904000 |
| 262 | blk.28.ffn_norm.weight | 0x16d803400 | 0x4000 |
| 263 | blk.28.ffn_up.weight | 0x16d807400 | 0x3520000 |
| 264 | blk.29.attn_k.weight | 0x170d27400 | 0x348000 |
| 265 | blk.29.attn_norm.weight | 0x17106f400 | 0x4000 |
| 266 | blk.29.attn_output.weight | 0x171073400 | 0x1100000 |
| 267 | blk.29.attn_q.weight | 0x172173400 | 0xd20000 |
| 268 | blk.29.attn_v.weight | 0x172e93400 | 0x440000 |
| 269 | blk.29.ffn_down.weight | 0x1732d3400 | 0x2904000 |
| 270 | blk.29.ffn_gate.weight | 0x175bd7400 | 0x2904000 |
| 271 | blk.29.ffn_norm.weight | 0x1784db400 | 0x4000 |
| 272 | blk.29.ffn_up.weight | 0x1784df400 | 0x3520000 |
| 273 | blk.30.attn_k.weight | 0x17b9ff400 | 0x440000 |
| 274 | blk.30.attn_norm.weight | 0x17be3f400 | 0x4000 |
| 275 | blk.30.attn_output.weight | 0x17be43400 | 0x1100000 |
| 276 | blk.30.attn_q.weight | 0x17cf43400 | 0x1100000 |
| 277 | blk.30.attn_v.weight | 0x17e043400 | 0x440000 |
| 278 | blk.30.ffn_down.weight | 0x17e483400 | 0x2904000 |
| 279 | blk.30.ffn_gate.weight | 0x180d87400 | 0x2904000 |
| 280 | blk.30.ffn_norm.weight | 0x18368b400 | 0x4000 |
| 281 | blk.30.ffn_up.weight | 0x18368f400 | 0x3520000 |
| 282 | blk.31.attn_k.weight | 0x186baf400 | 0x348000 |
| 283 | blk.31.attn_norm.weight | 0x186ef7400 | 0x4000 |
| 284 | blk.31.attn_output.weight | 0x186efb400 | 0x1100000 |
| 285 | blk.31.attn_q.weight | 0x187ffb400 | 0xd20000 |
| 286 | blk.31.attn_v.weight | 0x188d1b400 | 0x440000 |
| 287 | blk.31.ffn_down.weight | 0x18915b400 | 0x2904000 |
| 288 | blk.31.ffn_gate.weight | 0x18ba5f400 | 0x3520000 |
| 289 | blk.31.ffn_norm.weight | 0x18ef7f400 | 0x4000 |
| 290 | blk.31.ffn_up.weight | 0x18ef83400 | 0x3520000 |
| 291 | blk.32.attn_k.weight | 0x1924a3400 | 0x348000 |
| 292 | blk.32.attn_norm.weight | 0x1927eb400 | 0x4000 |
| 293 | blk.32.attn_output.weight | 0x1927ef400 | 0x1100000 |
| 294 | blk.32.attn_q.weight | 0x1938ef400 | 0x1100000 |
| 295 | blk.32.attn_v.weight | 0x1949ef400 | 0x440000 |
| 296 | blk.32.ffn_down.weight | 0x194e2f400 | 0x2904000 |
| 297 | blk.32.ffn_gate.weight | 0x197733400 | 0x2904000 |
| 298 | blk.32.ffn_norm.weight | 0x19a037400 | 0x4000 |
| 299 | blk.32.ffn_up.weight | 0x19a03b400 | 0x3520000 |
| 300 | blk.33.attn_k.weight | 0x19d55b400 | 0x348000 |
| 301 | blk.33.attn_norm.weight | 0x19d8a3400 | 0x4000 |
| 302 | blk.33.attn_output.weight | 0x19d8a7400 | 0x1100000 |
| 303 | blk.33.attn_q.weight | 0x19e9a7400 | 0xd20000 |
| 304 | blk.33.attn_v.weight | 0x19f6c7400 | 0x440000 |
| 305 | blk.33.ffn_down.weight | 0x19fb07400 | 0x2904000 |
| 306 | blk.33.ffn_gate.weight | 0x1a240b400 | 0x2904000 |
| 307 | blk.33.ffn_norm.weight | 0x1a4d0f400 | 0x4000 |
| 308 | blk.33.ffn_up.weight | 0x1a4d13400 | 0x3520000 |
| 309 | blk.34.attn_k.weight | 0x1a8233400 | 0x348000 |
| 310 | blk.34.attn_norm.weight | 0x1a857b400 | 0x4000 |
| 311 | blk.34.attn_output.weight | 0x1a857f400 | 0x1100000 |
| 312 | blk.34.attn_q.weight | 0x1a967f400 | 0x1100000 |
| 313 | blk.34.attn_v.weight | 0x1aa77f400 | 0x440000 |
| 314 | blk.34.ffn_down.weight | 0x1aabbf400 | 0x2904000 |
| 315 | blk.34.ffn_gate.weight | 0x1ad4c3400 | 0x2904000 |
| 316 | blk.34.ffn_norm.weight | 0x1afdc7400 | 0x4000 |
| 317 | blk.34.ffn_up.weight | 0x1afdcb400 | 0x3520000 |
| 318 | blk.35.attn_k.weight | 0x1b32eb400 | 0x348000 |
| 319 | blk.35.attn_norm.weight | 0x1b3633400 | 0x4000 |
| 320 | blk.35.attn_output.weight | 0x1b3637400 | 0x1100000 |
| 321 | blk.35.attn_q.weight | 0x1b4737400 | 0xd20000 |
| 322 | blk.35.attn_v.weight | 0x1b5457400 | 0x440000 |
| 323 | blk.35.ffn_down.weight | 0x1b5897400 | 0x2904000 |
| 324 | blk.35.ffn_gate.weight | 0x1b819b400 | 0x2904000 |
| 325 | blk.35.ffn_norm.weight | 0x1baa9f400 | 0x4000 |
| 326 | blk.35.ffn_up.weight | 0x1baaa3400 | 0x3520000 |
| 327 | blk.36.attn_k.weight | 0x1bdfc3400 | 0x348000 |
| 328 | blk.36.attn_norm.weight | 0x1be30b400 | 0x4000 |
| 329 | blk.36.attn_output.weight | 0x1be30f400 | 0x1100000 |
| 330 | blk.36.attn_q.weight | 0x1bf40f400 | 0xd20000 |
| 331 | blk.36.attn_v.weight | 0x1c012f400 | 0x440000 |
| 332 | blk.36.ffn_down.weight | 0x1c056f400 | 0x2904000 |
| 333 | blk.36.ffn_gate.weight | 0x1c2e73400 | 0x2904000 |
| 334 | blk.36.ffn_norm.weight | 0x1c5777400 | 0x4000 |
| 335 | blk.36.ffn_up.weight | 0x1c577b400 | 0x3520000 |
| 336 | blk.37.attn_k.weight | 0x1c8c9b400 | 0x348000 |
| 337 | blk.37.attn_norm.weight | 0x1c8fe3400 | 0x4000 |
| 338 | blk.37.attn_output.weight | 0x1c8fe7400 | 0x1100000 |
| 339 | blk.37.attn_q.weight | 0x1ca0e7400 | 0xd20000 |
| 340 | blk.37.attn_v.weight | 0x1cae07400 | 0x440000 |
| 341 | blk.37.ffn_down.weight | 0x1cb247400 | 0x2904000 |
| 342 | blk.37.ffn_gate.weight | 0x1cdb4b400 | 0x3520000 |
| 343 | blk.37.ffn_norm.weight | 0x1d106b400 | 0x4000 |
| 344 | blk.37.ffn_up.weight | 0x1d106f400 | 0x3520000 |
| 345 | blk.38.attn_k.weight | 0x1d458f400 | 0x348000 |
| 346 | blk.38.attn_norm.weight | 0x1d48d7400 | 0x4000 |
| 347 | blk.38.attn_output.weight | 0x1d48db400 | 0x1100000 |
| 348 | blk.38.attn_q.weight | 0x1d59db400 | 0xd20000 |
| 349 | blk.38.attn_v.weight | 0x1d66fb400 | 0x440000 |
| 350 | blk.38.ffn_down.weight | 0x1d6b3b400 | 0x2904000 |
| 351 | blk.38.ffn_gate.weight | 0x1d943f400 | 0x3520000 |
| 352 | blk.38.ffn_norm.weight | 0x1dc95f400 | 0x4000 |
| 353 | blk.38.ffn_up.weight | 0x1dc963400 | 0x3520000 |
| 354 | blk.39.attn_k.weight | 0x1dfe83400 | 0x348000 |
| 355 | blk.39.attn_norm.weight | 0x1e01cb400 | 0x4000 |
| 356 | blk.39.attn_output.weight | 0x1e01cf400 | 0x1100000 |
| 357 | blk.39.attn_q.weight | 0x1e12cf400 | 0xd20000 |
| 358 | blk.39.attn_v.weight | 0x1e1fef400 | 0x440000 |
| 359 | blk.39.ffn_down.weight | 0x1e242f400 | 0x2904000 |
| 360 | blk.39.ffn_gate.weight | 0x1e4d33400 | 0x3520000 |
| 361 | blk.39.ffn_norm.weight | 0x1e8253400 | 0x4000 |
| 362 | blk.39.ffn_up.weight | 0x1e8257400 | 0x3520000 |
### Base Tensor Group : ~822M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------|:---------------------------------|:------------------|:----------------------|:-----|--------:|
| 0 | output.weight | Output (W) | (~411M) 411041792 | 4096 x 100352 x 1 x 1 | Q8_0 | 8.5000 |
| 1 | output_norm.weight | Output Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 2 | token_embd.weight | Token Embedding (W) | (~411M) 411041792 | 4096 x 100352 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in base: (~822M) 822087680
- Percentage of total elements: 9.35%
- Bits per Weight (BPW) for base: 8.5001 bits
### Block 0 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 3 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 4 | blk.0.attn_norm.weight | Block 0 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 5 | blk.0.attn_output.weight | Block 0 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_1 | 6.0000 |
| 7 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 8 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_1 | 6.0000 |
| 9 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 10 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 11 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.0: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.0: 6.9188 bits
### Block 1 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 12 | blk.1.attn_k.weight | Block 1 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 13 | blk.1.attn_norm.weight | Block 1 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 14 | blk.1.attn_output.weight | Block 1 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 15 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 16 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 17 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 18 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 19 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 20 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.1: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.1: 7.2773 bits
### Block 2 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 21 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 22 | blk.2.attn_norm.weight | Block 2 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 23 | blk.2.attn_output.weight | Block 2 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 24 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 25 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 26 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 27 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 28 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 29 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.2: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.2: 7.2773 bits
### Block 3 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 30 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 31 | blk.3.attn_norm.weight | Block 3 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 32 | blk.3.attn_output.weight | Block 3 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 33 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 34 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 35 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_1 | 6.0000 |
| 36 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
| 37 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 38 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.3: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.3: 7.6392 bits
### Block 4 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 39 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 40 | blk.4.attn_norm.weight | Block 4 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 41 | blk.4.attn_output.weight | Block 4 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 42 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 43 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 44 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 45 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 46 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 47 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.4: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.4: 7.4405 bits
### Block 5 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 48 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 49 | blk.5.attn_norm.weight | Block 5 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 50 | blk.5.attn_output.weight | Block 5 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 51 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 52 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 53 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_1 | 6.0000 |
| 54 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
| 55 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 56 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.5: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.5: 7.8023 bits
### Block 6 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 57 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 58 | blk.6.attn_norm.weight | Block 6 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 59 | blk.6.attn_output.weight | Block 6 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 60 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 61 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 62 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 63 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 64 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 65 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.6: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.6: 7.4813 bits
### Block 7 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 66 | blk.7.attn_k.weight | Block 7 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 67 | blk.7.attn_norm.weight | Block 7 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 68 | blk.7.attn_output.weight | Block 7 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 69 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 70 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 71 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 72 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 73 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 74 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.7: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.7: 7.4813 bits
### Block 8 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 75 | blk.8.attn_k.weight | Block 8 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 76 | blk.8.attn_norm.weight | Block 8 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 77 | blk.8.attn_output.weight | Block 8 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 78 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 79 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 80 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 81 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 82 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 83 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.8: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.8: 7.2773 bits
### Block 9 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 84 | blk.9.attn_k.weight | Block 9 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 85 | blk.9.attn_norm.weight | Block 9 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 86 | blk.9.attn_output.weight | Block 9 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 87 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 88 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 89 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 90 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 91 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 92 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.9: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.9: 7.2773 bits
### Block 10 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 93 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 94 | blk.10.attn_norm.weight | Block 10 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 95 | blk.10.attn_output.weight | Block 10 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 96 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 97 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 98 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 99 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 100 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 101 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.10: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.10: 7.2773 bits
### Block 11 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 102 | blk.11.attn_k.weight | Block 11 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 103 | blk.11.attn_norm.weight | Block 11 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 104 | blk.11.attn_output.weight | Block 11 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 105 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 106 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 107 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 108 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 109 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 110 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.11: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.11: 7.2773 bits
### Block 12 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 111 | blk.12.attn_k.weight | Block 12 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 112 | blk.12.attn_norm.weight | Block 12 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 113 | blk.12.attn_output.weight | Block 12 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 114 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 115 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 116 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 117 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 118 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 119 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.12: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.12: 7.2773 bits
### Block 13 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 120 | blk.13.attn_k.weight | Block 13 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 121 | blk.13.attn_norm.weight | Block 13 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 122 | blk.13.attn_output.weight | Block 13 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 123 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 124 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 125 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 126 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 127 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 128 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.13: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.13: 7.2773 bits
### Block 14 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 129 | blk.14.attn_k.weight | Block 14 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 130 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 131 | blk.14.attn_output.weight | Block 14 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 132 | blk.14.attn_q.weight | Block 14 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 133 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 134 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 135 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 136 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 137 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.14: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.14: 7.2773 bits
### Block 15 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 138 | blk.15.attn_k.weight | Block 15 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 139 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 140 | blk.15.attn_output.weight | Block 15 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 141 | blk.15.attn_q.weight | Block 15 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 142 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 143 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 144 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 145 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 146 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.15: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.15: 7.4813 bits
### Block 16 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 147 | blk.16.attn_k.weight | Block 16 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 148 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 149 | blk.16.attn_output.weight | Block 16 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 150 | blk.16.attn_q.weight | Block 16 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 151 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 152 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 153 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 154 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 155 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.16: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.16: 7.4813 bits
### Block 17 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 156 | blk.17.attn_k.weight | Block 17 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 157 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 158 | blk.17.attn_output.weight | Block 17 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 159 | blk.17.attn_q.weight | Block 17 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 160 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 161 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 162 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 163 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 164 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.17: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.17: 7.2773 bits
### Block 18 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 165 | blk.18.attn_k.weight | Block 18 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 166 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 167 | blk.18.attn_output.weight | Block 18 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 168 | blk.18.attn_q.weight | Block 18 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 169 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 170 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 171 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 172 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 173 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.18: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.18: 7.2773 bits
### Block 19 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 174 | blk.19.attn_k.weight | Block 19 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 175 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 176 | blk.19.attn_output.weight | Block 19 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 177 | blk.19.attn_q.weight | Block 19 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 178 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 179 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 180 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 181 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 182 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.19: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.19: 7.2773 bits
### Block 20 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 183 | blk.20.attn_k.weight | Block 20 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 184 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 185 | blk.20.attn_output.weight | Block 20 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 186 | blk.20.attn_q.weight | Block 20 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 187 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 188 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 189 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 190 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 191 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.20: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.20: 7.4405 bits
### Block 21 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 192 | blk.21.attn_k.weight | Block 21 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 193 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 194 | blk.21.attn_output.weight | Block 21 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 195 | blk.21.attn_q.weight | Block 21 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 196 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 197 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 198 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 199 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 200 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.21: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.21: 7.2773 bits
### Block 22 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 201 | blk.22.attn_k.weight | Block 22 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 202 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 203 | blk.22.attn_output.weight | Block 22 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 204 | blk.22.attn_q.weight | Block 22 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 205 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 206 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 207 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 208 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 209 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.22: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.22: 7.2773 bits
### Block 23 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 210 | blk.23.attn_k.weight | Block 23 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 211 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 212 | blk.23.attn_output.weight | Block 23 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 213 | blk.23.attn_q.weight | Block 23 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 214 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 215 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 216 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 217 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 218 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.23: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.23: 7.4405 bits
### Block 24 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 219 | blk.24.attn_k.weight | Block 24 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 220 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 221 | blk.24.attn_output.weight | Block 24 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 222 | blk.24.attn_q.weight | Block 24 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 223 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 224 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 225 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 226 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 227 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.24: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.24: 7.2773 bits
### Block 25 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 228 | blk.25.attn_k.weight | Block 25 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 229 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 230 | blk.25.attn_output.weight | Block 25 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 231 | blk.25.attn_q.weight | Block 25 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 232 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 233 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 234 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 235 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 236 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.25: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.25: 7.2773 bits
### Block 26 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 237 | blk.26.attn_k.weight | Block 26 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 238 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 239 | blk.26.attn_output.weight | Block 26 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 240 | blk.26.attn_q.weight | Block 26 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 241 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 242 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 243 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 244 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 245 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.26: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.26: 7.2773 bits
### Block 27 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 246 | blk.27.attn_k.weight | Block 27 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 247 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 248 | blk.27.attn_output.weight | Block 27 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 249 | blk.27.attn_q.weight | Block 27 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 250 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 251 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 252 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 253 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 254 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.27: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.27: 7.4405 bits
### Block 28 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 255 | blk.28.attn_k.weight | Block 28 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 256 | blk.28.attn_norm.weight | Block 28 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 257 | blk.28.attn_output.weight | Block 28 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 258 | blk.28.attn_q.weight | Block 28 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 259 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 260 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 261 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 262 | blk.28.ffn_norm.weight | Block 28 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 263 | blk.28.ffn_up.weight | Block 28 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.28: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.28: 7.4813 bits
### Block 29 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 264 | blk.29.attn_k.weight | Block 29 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 265 | blk.29.attn_norm.weight | Block 29 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 266 | blk.29.attn_output.weight | Block 29 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 267 | blk.29.attn_q.weight | Block 29 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 268 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 269 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 270 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 271 | blk.29.ffn_norm.weight | Block 29 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 272 | blk.29.ffn_up.weight | Block 29 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.29: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.29: 7.2773 bits
### Block 30 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 273 | blk.30.attn_k.weight | Block 30 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 274 | blk.30.attn_norm.weight | Block 30 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 275 | blk.30.attn_output.weight | Block 30 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 276 | blk.30.attn_q.weight | Block 30 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 277 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 278 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 279 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 280 | blk.30.ffn_norm.weight | Block 30 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 281 | blk.30.ffn_up.weight | Block 30 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.30: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.30: 7.4813 bits
### Block 31 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 282 | blk.31.attn_k.weight | Block 31 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 283 | blk.31.attn_norm.weight | Block 31 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 284 | blk.31.attn_output.weight | Block 31 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 285 | blk.31.attn_q.weight | Block 31 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 286 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 287 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 288 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
| 289 | blk.31.ffn_norm.weight | Block 31 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 290 | blk.31.ffn_up.weight | Block 31 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.31: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.31: 7.7872 bits
### Block 32 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 291 | blk.32.attn_k.weight | Block 32 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 292 | blk.32.attn_norm.weight | Block 32 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 293 | blk.32.attn_output.weight | Block 32 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 294 | blk.32.attn_q.weight | Block 32 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 295 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 296 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 297 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 298 | blk.32.ffn_norm.weight | Block 32 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 299 | blk.32.ffn_up.weight | Block 32 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.32: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.32: 7.4405 bits
### Block 33 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 300 | blk.33.attn_k.weight | Block 33 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 301 | blk.33.attn_norm.weight | Block 33 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 302 | blk.33.attn_output.weight | Block 33 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 303 | blk.33.attn_q.weight | Block 33 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 304 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 305 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 306 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 307 | blk.33.ffn_norm.weight | Block 33 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 308 | blk.33.ffn_up.weight | Block 33 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.33: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.33: 7.2773 bits
### Block 34 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 309 | blk.34.attn_k.weight | Block 34 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 310 | blk.34.attn_norm.weight | Block 34 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 311 | blk.34.attn_output.weight | Block 34 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 312 | blk.34.attn_q.weight | Block 34 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 313 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 314 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 315 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 316 | blk.34.ffn_norm.weight | Block 34 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 317 | blk.34.ffn_up.weight | Block 34 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.34: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.34: 7.4405 bits
### Block 35 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 318 | blk.35.attn_k.weight | Block 35 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 319 | blk.35.attn_norm.weight | Block 35 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 320 | blk.35.attn_output.weight | Block 35 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 321 | blk.35.attn_q.weight | Block 35 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 322 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 323 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 324 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 325 | blk.35.ffn_norm.weight | Block 35 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 326 | blk.35.ffn_up.weight | Block 35 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.35: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.35: 7.2773 bits
### Block 36 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 327 | blk.36.attn_k.weight | Block 36 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 328 | blk.36.attn_norm.weight | Block 36 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 329 | blk.36.attn_output.weight | Block 36 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 330 | blk.36.attn_q.weight | Block 36 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 331 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 332 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 333 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q6_K | 6.5625 |
| 334 | blk.36.ffn_norm.weight | Block 36 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 335 | blk.36.ffn_up.weight | Block 36 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.36: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.36: 7.2773 bits
### Block 37 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 336 | blk.37.attn_k.weight | Block 37 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 337 | blk.37.attn_norm.weight | Block 37 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 338 | blk.37.attn_output.weight | Block 37 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 339 | blk.37.attn_q.weight | Block 37 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 340 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 341 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 342 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
| 343 | blk.37.ffn_norm.weight | Block 37 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 344 | blk.37.ffn_up.weight | Block 37 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.37: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.37: 7.7872 bits
### Block 38 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 345 | blk.38.attn_k.weight | Block 38 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 346 | blk.38.attn_norm.weight | Block 38 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 347 | blk.38.attn_output.weight | Block 38 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 348 | blk.38.attn_q.weight | Block 38 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 349 | blk.38.attn_v.weight | Block 38 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 350 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 351 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
| 352 | blk.38.ffn_norm.weight | Block 38 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 353 | blk.38.ffn_up.weight | Block 38 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.38: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.38: 7.7872 bits
### Block 39 Tensor Group : ~199M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----|--------:|
| 354 | blk.39.attn_k.weight | Block 39 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 355 | blk.39.attn_norm.weight | Block 39 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 356 | blk.39.attn_output.weight | Block 39 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q8_0 | 8.5000 |
| 357 | blk.39.attn_q.weight | Block 39 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 358 | blk.39.attn_v.weight | Block 39 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 359 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 360 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
| 361 | blk.39.ffn_norm.weight | Block 39 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 362 | blk.39.ffn_up.weight | Block 39 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q8_0 | 8.5000 |
- Total elements in blk.39: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.39: 7.7872 bits
Total BPW for granite-4.1-8b-Q7_K.gguf: 7.4998 bits