# granite-4.1-8b-WIP/granite-4.1-8b-Q2_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 | 28 |
| 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-Q2\_K.gguf - GGUF Internal File Dump](#granite-41-8b-wipgranite-41-8b-q2_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 | 0xa870000 |
| 1 | output_norm.weight | 0xabd7400 | 0x4000 |
| 2 | token_embd.weight | 0xabdb400 | 0x80a0000 |
| 3 | blk.0.attn_k.weight | 0x12c7b400 | 0xe0000 |
| 4 | blk.0.attn_norm.weight | 0x12d5b400 | 0x4000 |
| 5 | blk.0.attn_output.weight | 0x12d5f400 | 0x540000 |
| 6 | blk.0.attn_q.weight | 0x1329f400 | 0x380000 |
| 7 | blk.0.attn_v.weight | 0x1361f400 | 0xe0000 |
| 8 | blk.0.ffn_down.weight | 0x136ff400 | 0xaf0000 |
| 9 | blk.0.ffn_gate.weight | 0x141ef400 | 0x9c4000 |
| 10 | blk.0.ffn_norm.weight | 0x14bb3400 | 0x4000 |
| 11 | blk.0.ffn_up.weight | 0x14bb7400 | 0xe74000 |
| 12 | blk.1.attn_k.weight | 0x15a2b400 | 0x128000 |
| 13 | blk.1.attn_norm.weight | 0x15b53400 | 0x4000 |
| 14 | blk.1.attn_output.weight | 0x15b57400 | 0x6e0000 |
| 15 | blk.1.attn_q.weight | 0x16237400 | 0x4a0000 |
| 16 | blk.1.attn_v.weight | 0x166d7400 | 0x188000 |
| 17 | blk.1.ffn_down.weight | 0x1685f400 | 0x1004000 |
| 18 | blk.1.ffn_gate.weight | 0x17863400 | 0xce4000 |
| 19 | blk.1.ffn_norm.weight | 0x18547400 | 0x4000 |
| 20 | blk.1.ffn_up.weight | 0x1854b400 | 0x1004000 |
| 21 | blk.2.attn_k.weight | 0x1954f400 | 0x128000 |
| 22 | blk.2.attn_norm.weight | 0x19677400 | 0x4000 |
| 23 | blk.2.attn_output.weight | 0x1967b400 | 0x6e0000 |
| 24 | blk.2.attn_q.weight | 0x19d5b400 | 0x520000 |
| 25 | blk.2.attn_v.weight | 0x1a27b400 | 0x188000 |
| 26 | blk.2.ffn_down.weight | 0x1a403400 | 0x1004000 |
| 27 | blk.2.ffn_gate.weight | 0x1b407400 | 0xce4000 |
| 28 | blk.2.ffn_norm.weight | 0x1c0eb400 | 0x4000 |
| 29 | blk.2.ffn_up.weight | 0x1c0ef400 | 0x1004000 |
| 30 | blk.3.attn_k.weight | 0x1d0f3400 | 0x108000 |
| 31 | blk.3.attn_norm.weight | 0x1d1fb400 | 0x4000 |
| 32 | blk.3.attn_output.weight | 0x1d1ff400 | 0x6e0000 |
| 33 | blk.3.attn_q.weight | 0x1d8df400 | 0x4a0000 |
| 34 | blk.3.attn_v.weight | 0x1dd7f400 | 0x188000 |
| 35 | blk.3.ffn_down.weight | 0x1df07400 | 0xce4000 |
| 36 | blk.3.ffn_gate.weight | 0x1ebeb400 | 0xce4000 |
| 37 | blk.3.ffn_norm.weight | 0x1f8cf400 | 0x4000 |
| 38 | blk.3.ffn_up.weight | 0x1f8d3400 | 0xe74000 |
| 39 | blk.4.attn_k.weight | 0x20747400 | 0x128000 |
| 40 | blk.4.attn_norm.weight | 0x2086f400 | 0x4000 |
| 41 | blk.4.attn_output.weight | 0x20873400 | 0x6e0000 |
| 42 | blk.4.attn_q.weight | 0x20f53400 | 0x520000 |
| 43 | blk.4.attn_v.weight | 0x21473400 | 0x188000 |
| 44 | blk.4.ffn_down.weight | 0x215fb400 | 0x1004000 |
| 45 | blk.4.ffn_gate.weight | 0x225ff400 | 0xce4000 |
| 46 | blk.4.ffn_norm.weight | 0x232e3400 | 0x4000 |
| 47 | blk.4.ffn_up.weight | 0x232e7400 | 0xce4000 |
| 48 | blk.5.attn_k.weight | 0x23fcb400 | 0x128000 |
| 49 | blk.5.attn_norm.weight | 0x240f3400 | 0x4000 |
| 50 | blk.5.attn_output.weight | 0x240f7400 | 0x6e0000 |
| 51 | blk.5.attn_q.weight | 0x247d7400 | 0x520000 |
| 52 | blk.5.attn_v.weight | 0x24cf7400 | 0x150000 |
| 53 | blk.5.ffn_down.weight | 0x24e47400 | 0x1068000 |
| 54 | blk.5.ffn_gate.weight | 0x25eaf400 | 0xce4000 |
| 55 | blk.5.ffn_norm.weight | 0x26b93400 | 0x4000 |
| 56 | blk.5.ffn_up.weight | 0x26b97400 | 0xe74000 |
| 57 | blk.6.attn_k.weight | 0x27a0b400 | 0x128000 |
| 58 | blk.6.attn_norm.weight | 0x27b33400 | 0x4000 |
| 59 | blk.6.attn_output.weight | 0x27b37400 | 0x6e0000 |
| 60 | blk.6.attn_q.weight | 0x28217400 | 0x4a0000 |
| 61 | blk.6.attn_v.weight | 0x286b7400 | 0x150000 |
| 62 | blk.6.ffn_down.weight | 0x28807400 | 0x1004000 |
| 63 | blk.6.ffn_gate.weight | 0x2980b400 | 0xce4000 |
| 64 | blk.6.ffn_norm.weight | 0x2a4ef400 | 0x4000 |
| 65 | blk.6.ffn_up.weight | 0x2a4f3400 | 0xe74000 |
| 66 | blk.7.attn_k.weight | 0x2b367400 | 0x148000 |
| 67 | blk.7.attn_norm.weight | 0x2b4af400 | 0x4000 |
| 68 | blk.7.attn_output.weight | 0x2b4b3400 | 0x6e0000 |
| 69 | blk.7.attn_q.weight | 0x2bb93400 | 0x520000 |
| 70 | blk.7.attn_v.weight | 0x2c0b3400 | 0x150000 |
| 71 | blk.7.ffn_down.weight | 0x2c203400 | 0x1004000 |
| 72 | blk.7.ffn_gate.weight | 0x2d207400 | 0xce4000 |
| 73 | blk.7.ffn_norm.weight | 0x2deeb400 | 0x4000 |
| 74 | blk.7.ffn_up.weight | 0x2deef400 | 0x1004000 |
| 75 | blk.8.attn_k.weight | 0x2eef3400 | 0x128000 |
| 76 | blk.8.attn_norm.weight | 0x2f01b400 | 0x4000 |
| 77 | blk.8.attn_output.weight | 0x2f01f400 | 0x6e0000 |
| 78 | blk.8.attn_q.weight | 0x2f6ff400 | 0x520000 |
| 79 | blk.8.attn_v.weight | 0x2fc1f400 | 0x150000 |
| 80 | blk.8.ffn_down.weight | 0x2fd6f400 | 0x1004000 |
| 81 | blk.8.ffn_gate.weight | 0x30d73400 | 0xce4000 |
| 82 | blk.8.ffn_norm.weight | 0x31a57400 | 0x4000 |
| 83 | blk.8.ffn_up.weight | 0x31a5b400 | 0x1004000 |
| 84 | blk.9.attn_k.weight | 0x32a5f400 | 0x128000 |
| 85 | blk.9.attn_norm.weight | 0x32b87400 | 0x4000 |
| 86 | blk.9.attn_output.weight | 0x32b8b400 | 0x6e0000 |
| 87 | blk.9.attn_q.weight | 0x3326b400 | 0x520000 |
| 88 | blk.9.attn_v.weight | 0x3378b400 | 0x150000 |
| 89 | blk.9.ffn_down.weight | 0x338db400 | 0x1004000 |
| 90 | blk.9.ffn_gate.weight | 0x348df400 | 0xce4000 |
| 91 | blk.9.ffn_norm.weight | 0x355c3400 | 0x4000 |
| 92 | blk.9.ffn_up.weight | 0x355c7400 | 0x1004000 |
| 93 | blk.10.attn_k.weight | 0x365cb400 | 0x128000 |
| 94 | blk.10.attn_norm.weight | 0x366f3400 | 0x4000 |
| 95 | blk.10.attn_output.weight | 0x366f7400 | 0x6e0000 |
| 96 | blk.10.attn_q.weight | 0x36dd7400 | 0x520000 |
| 97 | blk.10.attn_v.weight | 0x372f7400 | 0x150000 |
| 98 | blk.10.ffn_down.weight | 0x37447400 | 0x1004000 |
| 99 | blk.10.ffn_gate.weight | 0x3844b400 | 0xce4000 |
| 100 | blk.10.ffn_norm.weight | 0x3912f400 | 0x4000 |
| 101 | blk.10.ffn_up.weight | 0x39133400 | 0x1004000 |
| 102 | blk.11.attn_k.weight | 0x3a137400 | 0x128000 |
| 103 | blk.11.attn_norm.weight | 0x3a25f400 | 0x4000 |
| 104 | blk.11.attn_output.weight | 0x3a263400 | 0x6e0000 |
| 105 | blk.11.attn_q.weight | 0x3a943400 | 0x520000 |
| 106 | blk.11.attn_v.weight | 0x3ae63400 | 0x150000 |
| 107 | blk.11.ffn_down.weight | 0x3afb3400 | 0x1004000 |
| 108 | blk.11.ffn_gate.weight | 0x3bfb7400 | 0x9c4000 |
| 109 | blk.11.ffn_norm.weight | 0x3c97b400 | 0x4000 |
| 110 | blk.11.ffn_up.weight | 0x3c97f400 | 0x1004000 |
| 111 | blk.12.attn_k.weight | 0x3d983400 | 0x128000 |
| 112 | blk.12.attn_norm.weight | 0x3daab400 | 0x4000 |
| 113 | blk.12.attn_output.weight | 0x3daaf400 | 0x6e0000 |
| 114 | blk.12.attn_q.weight | 0x3e18f400 | 0x520000 |
| 115 | blk.12.attn_v.weight | 0x3e6af400 | 0x150000 |
| 116 | blk.12.ffn_down.weight | 0x3e7ff400 | 0x1004000 |
| 117 | blk.12.ffn_gate.weight | 0x3f803400 | 0xce4000 |
| 118 | blk.12.ffn_norm.weight | 0x404e7400 | 0x4000 |
| 119 | blk.12.ffn_up.weight | 0x404eb400 | 0x1004000 |
| 120 | blk.13.attn_k.weight | 0x414ef400 | 0x128000 |
| 121 | blk.13.attn_norm.weight | 0x41617400 | 0x4000 |
| 122 | blk.13.attn_output.weight | 0x4161b400 | 0x6e0000 |
| 123 | blk.13.attn_q.weight | 0x41cfb400 | 0x520000 |
| 124 | blk.13.attn_v.weight | 0x4221b400 | 0x150000 |
| 125 | blk.13.ffn_down.weight | 0x4236b400 | 0x1004000 |
| 126 | blk.13.ffn_gate.weight | 0x4336f400 | 0xce4000 |
| 127 | blk.13.ffn_norm.weight | 0x44053400 | 0x4000 |
| 128 | blk.13.ffn_up.weight | 0x44057400 | 0x1004000 |
| 129 | blk.14.attn_k.weight | 0x4505b400 | 0x128000 |
| 130 | blk.14.attn_norm.weight | 0x45183400 | 0x4000 |
| 131 | blk.14.attn_output.weight | 0x45187400 | 0x6e0000 |
| 132 | blk.14.attn_q.weight | 0x45867400 | 0x520000 |
| 133 | blk.14.attn_v.weight | 0x45d87400 | 0x150000 |
| 134 | blk.14.ffn_down.weight | 0x45ed7400 | 0x1004000 |
| 135 | blk.14.ffn_gate.weight | 0x46edb400 | 0xce4000 |
| 136 | blk.14.ffn_norm.weight | 0x47bbf400 | 0x4000 |
| 137 | blk.14.ffn_up.weight | 0x47bc3400 | 0x1004000 |
| 138 | blk.15.attn_k.weight | 0x48bc7400 | 0x148000 |
| 139 | blk.15.attn_norm.weight | 0x48d0f400 | 0x4000 |
| 140 | blk.15.attn_output.weight | 0x48d13400 | 0x6e0000 |
| 141 | blk.15.attn_q.weight | 0x493f3400 | 0x520000 |
| 142 | blk.15.attn_v.weight | 0x49913400 | 0x150000 |
| 143 | blk.15.ffn_down.weight | 0x49a63400 | 0x1004000 |
| 144 | blk.15.ffn_gate.weight | 0x4aa67400 | 0xce4000 |
| 145 | blk.15.ffn_norm.weight | 0x4b74b400 | 0x4000 |
| 146 | blk.15.ffn_up.weight | 0x4b74f400 | 0x1004000 |
| 147 | blk.16.attn_k.weight | 0x4c753400 | 0x148000 |
| 148 | blk.16.attn_norm.weight | 0x4c89b400 | 0x4000 |
| 149 | blk.16.attn_output.weight | 0x4c89f400 | 0x620000 |
| 150 | blk.16.attn_q.weight | 0x4cebf400 | 0x520000 |
| 151 | blk.16.attn_v.weight | 0x4d3df400 | 0x150000 |
| 152 | blk.16.ffn_down.weight | 0x4d52f400 | 0x1004000 |
| 153 | blk.16.ffn_gate.weight | 0x4e533400 | 0xce4000 |
| 154 | blk.16.ffn_norm.weight | 0x4f217400 | 0x4000 |
| 155 | blk.16.ffn_up.weight | 0x4f21b400 | 0x1004000 |
| 156 | blk.17.attn_k.weight | 0x5021f400 | 0x128000 |
| 157 | blk.17.attn_norm.weight | 0x50347400 | 0x4000 |
| 158 | blk.17.attn_output.weight | 0x5034b400 | 0x6e0000 |
| 159 | blk.17.attn_q.weight | 0x50a2b400 | 0x520000 |
| 160 | blk.17.attn_v.weight | 0x50f4b400 | 0x150000 |
| 161 | blk.17.ffn_down.weight | 0x5109b400 | 0x1004000 |
| 162 | blk.17.ffn_gate.weight | 0x5209f400 | 0xce4000 |
| 163 | blk.17.ffn_norm.weight | 0x52d83400 | 0x4000 |
| 164 | blk.17.ffn_up.weight | 0x52d87400 | 0x1004000 |
| 165 | blk.18.attn_k.weight | 0x53d8b400 | 0x128000 |
| 166 | blk.18.attn_norm.weight | 0x53eb3400 | 0x4000 |
| 167 | blk.18.attn_output.weight | 0x53eb7400 | 0x6e0000 |
| 168 | blk.18.attn_q.weight | 0x54597400 | 0x520000 |
| 169 | blk.18.attn_v.weight | 0x54ab7400 | 0x150000 |
| 170 | blk.18.ffn_down.weight | 0x54c07400 | 0x1004000 |
| 171 | blk.18.ffn_gate.weight | 0x55c0b400 | 0xce4000 |
| 172 | blk.18.ffn_norm.weight | 0x568ef400 | 0x4000 |
| 173 | blk.18.ffn_up.weight | 0x568f3400 | 0x1004000 |
| 174 | blk.19.attn_k.weight | 0x578f7400 | 0x128000 |
| 175 | blk.19.attn_norm.weight | 0x57a1f400 | 0x4000 |
| 176 | blk.19.attn_output.weight | 0x57a23400 | 0x6e0000 |
| 177 | blk.19.attn_q.weight | 0x58103400 | 0x520000 |
| 178 | blk.19.attn_v.weight | 0x58623400 | 0x150000 |
| 179 | blk.19.ffn_down.weight | 0x58773400 | 0x1004000 |
| 180 | blk.19.ffn_gate.weight | 0x59777400 | 0xce4000 |
| 181 | blk.19.ffn_norm.weight | 0x5a45b400 | 0x4000 |
| 182 | blk.19.ffn_up.weight | 0x5a45f400 | 0x1004000 |
| 183 | blk.20.attn_k.weight | 0x5b463400 | 0x148000 |
| 184 | blk.20.attn_norm.weight | 0x5b5ab400 | 0x4000 |
| 185 | blk.20.attn_output.weight | 0x5b5af400 | 0x6e0000 |
| 186 | blk.20.attn_q.weight | 0x5bc8f400 | 0x520000 |
| 187 | blk.20.attn_v.weight | 0x5c1af400 | 0x150000 |
| 188 | blk.20.ffn_down.weight | 0x5c2ff400 | 0x1004000 |
| 189 | blk.20.ffn_gate.weight | 0x5d303400 | 0xce4000 |
| 190 | blk.20.ffn_norm.weight | 0x5dfe7400 | 0x4000 |
| 191 | blk.20.ffn_up.weight | 0x5dfeb400 | 0x1004000 |
| 192 | blk.21.attn_k.weight | 0x5efef400 | 0x128000 |
| 193 | blk.21.attn_norm.weight | 0x5f117400 | 0x4000 |
| 194 | blk.21.attn_output.weight | 0x5f11b400 | 0x6e0000 |
| 195 | blk.21.attn_q.weight | 0x5f7fb400 | 0x520000 |
| 196 | blk.21.attn_v.weight | 0x5fd1b400 | 0x150000 |
| 197 | blk.21.ffn_down.weight | 0x5fe6b400 | 0x1004000 |
| 198 | blk.21.ffn_gate.weight | 0x60e6f400 | 0xce4000 |
| 199 | blk.21.ffn_norm.weight | 0x61b53400 | 0x4000 |
| 200 | blk.21.ffn_up.weight | 0x61b57400 | 0x1004000 |
| 201 | blk.22.attn_k.weight | 0x62b5b400 | 0x128000 |
| 202 | blk.22.attn_norm.weight | 0x62c83400 | 0x4000 |
| 203 | blk.22.attn_output.weight | 0x62c87400 | 0x6e0000 |
| 204 | blk.22.attn_q.weight | 0x63367400 | 0x520000 |
| 205 | blk.22.attn_v.weight | 0x63887400 | 0x150000 |
| 206 | blk.22.ffn_down.weight | 0x639d7400 | 0x1004000 |
| 207 | blk.22.ffn_gate.weight | 0x649db400 | 0xce4000 |
| 208 | blk.22.ffn_norm.weight | 0x656bf400 | 0x4000 |
| 209 | blk.22.ffn_up.weight | 0x656c3400 | 0x1004000 |
| 210 | blk.23.attn_k.weight | 0x666c7400 | 0x128000 |
| 211 | blk.23.attn_norm.weight | 0x667ef400 | 0x4000 |
| 212 | blk.23.attn_output.weight | 0x667f3400 | 0x6e0000 |
| 213 | blk.23.attn_q.weight | 0x66ed3400 | 0x520000 |
| 214 | blk.23.attn_v.weight | 0x673f3400 | 0x150000 |
| 215 | blk.23.ffn_down.weight | 0x67543400 | 0x1004000 |
| 216 | blk.23.ffn_gate.weight | 0x68547400 | 0xce4000 |
| 217 | blk.23.ffn_norm.weight | 0x6922b400 | 0x4000 |
| 218 | blk.23.ffn_up.weight | 0x6922f400 | 0xe74000 |
| 219 | blk.24.attn_k.weight | 0x6a0a3400 | 0x128000 |
| 220 | blk.24.attn_norm.weight | 0x6a1cb400 | 0x4000 |
| 221 | blk.24.attn_output.weight | 0x6a1cf400 | 0x6e0000 |
| 222 | blk.24.attn_q.weight | 0x6a8af400 | 0x4a0000 |
| 223 | blk.24.attn_v.weight | 0x6ad4f400 | 0x150000 |
| 224 | blk.24.ffn_down.weight | 0x6ae9f400 | 0x1004000 |
| 225 | blk.24.ffn_gate.weight | 0x6bea3400 | 0xce4000 |
| 226 | blk.24.ffn_norm.weight | 0x6cb87400 | 0x4000 |
| 227 | blk.24.ffn_up.weight | 0x6cb8b400 | 0xe74000 |
| 228 | blk.25.attn_k.weight | 0x6d9ff400 | 0x128000 |
| 229 | blk.25.attn_norm.weight | 0x6db27400 | 0x4000 |
| 230 | blk.25.attn_output.weight | 0x6db2b400 | 0x6e0000 |
| 231 | blk.25.attn_q.weight | 0x6e20b400 | 0x520000 |
| 232 | blk.25.attn_v.weight | 0x6e72b400 | 0x150000 |
| 233 | blk.25.ffn_down.weight | 0x6e87b400 | 0x1004000 |
| 234 | blk.25.ffn_gate.weight | 0x6f87f400 | 0xce4000 |
| 235 | blk.25.ffn_norm.weight | 0x70563400 | 0x4000 |
| 236 | blk.25.ffn_up.weight | 0x70567400 | 0x1004000 |
| 237 | blk.26.attn_k.weight | 0x7156b400 | 0x128000 |
| 238 | blk.26.attn_norm.weight | 0x71693400 | 0x4000 |
| 239 | blk.26.attn_output.weight | 0x71697400 | 0x6e0000 |
| 240 | blk.26.attn_q.weight | 0x71d77400 | 0x520000 |
| 241 | blk.26.attn_v.weight | 0x72297400 | 0x150000 |
| 242 | blk.26.ffn_down.weight | 0x723e7400 | 0x1004000 |
| 243 | blk.26.ffn_gate.weight | 0x733eb400 | 0xce4000 |
| 244 | blk.26.ffn_norm.weight | 0x740cf400 | 0x4000 |
| 245 | blk.26.ffn_up.weight | 0x740d3400 | 0x1004000 |
| 246 | blk.27.attn_k.weight | 0x750d7400 | 0x148000 |
| 247 | blk.27.attn_norm.weight | 0x7521f400 | 0x4000 |
| 248 | blk.27.attn_output.weight | 0x75223400 | 0x6e0000 |
| 249 | blk.27.attn_q.weight | 0x75903400 | 0x520000 |
| 250 | blk.27.attn_v.weight | 0x75e23400 | 0x150000 |
| 251 | blk.27.ffn_down.weight | 0x75f73400 | 0x1004000 |
| 252 | blk.27.ffn_gate.weight | 0x76f77400 | 0xce4000 |
| 253 | blk.27.ffn_norm.weight | 0x77c5b400 | 0x4000 |
| 254 | blk.27.ffn_up.weight | 0x77c5f400 | 0xe74000 |
| 255 | blk.28.attn_k.weight | 0x78ad3400 | 0x148000 |
| 256 | blk.28.attn_norm.weight | 0x78c1b400 | 0x4000 |
| 257 | blk.28.attn_output.weight | 0x78c1f400 | 0x6e0000 |
| 258 | blk.28.attn_q.weight | 0x792ff400 | 0x520000 |
| 259 | blk.28.attn_v.weight | 0x7981f400 | 0x150000 |
| 260 | blk.28.ffn_down.weight | 0x7996f400 | 0x1004000 |
| 261 | blk.28.ffn_gate.weight | 0x7a973400 | 0xce4000 |
| 262 | blk.28.ffn_norm.weight | 0x7b657400 | 0x4000 |
| 263 | blk.28.ffn_up.weight | 0x7b65b400 | 0x1004000 |
| 264 | blk.29.attn_k.weight | 0x7c65f400 | 0x128000 |
| 265 | blk.29.attn_norm.weight | 0x7c787400 | 0x4000 |
| 266 | blk.29.attn_output.weight | 0x7c78b400 | 0x6e0000 |
| 267 | blk.29.attn_q.weight | 0x7ce6b400 | 0x520000 |
| 268 | blk.29.attn_v.weight | 0x7d38b400 | 0x150000 |
| 269 | blk.29.ffn_down.weight | 0x7d4db400 | 0x1004000 |
| 270 | blk.29.ffn_gate.weight | 0x7e4df400 | 0xce4000 |
| 271 | blk.29.ffn_norm.weight | 0x7f1c3400 | 0x4000 |
| 272 | blk.29.ffn_up.weight | 0x7f1c7400 | 0x1004000 |
| 273 | blk.30.attn_k.weight | 0x801cb400 | 0x148000 |
| 274 | blk.30.attn_norm.weight | 0x80313400 | 0x4000 |
| 275 | blk.30.attn_output.weight | 0x80317400 | 0x6e0000 |
| 276 | blk.30.attn_q.weight | 0x809f7400 | 0x520000 |
| 277 | blk.30.attn_v.weight | 0x80f17400 | 0x188000 |
| 278 | blk.30.ffn_down.weight | 0x8109f400 | 0x1004000 |
| 279 | blk.30.ffn_gate.weight | 0x820a3400 | 0xce4000 |
| 280 | blk.30.ffn_norm.weight | 0x82d87400 | 0x4000 |
| 281 | blk.30.ffn_up.weight | 0x82d8b400 | 0xe74000 |
| 282 | blk.31.attn_k.weight | 0x83bff400 | 0x128000 |
| 283 | blk.31.attn_norm.weight | 0x83d27400 | 0x4000 |
| 284 | blk.31.attn_output.weight | 0x83d2b400 | 0x6e0000 |
| 285 | blk.31.attn_q.weight | 0x8440b400 | 0x520000 |
| 286 | blk.31.attn_v.weight | 0x8492b400 | 0x148000 |
| 287 | blk.31.ffn_down.weight | 0x84a73400 | 0x1004000 |
| 288 | blk.31.ffn_gate.weight | 0x85a77400 | 0xce4000 |
| 289 | blk.31.ffn_norm.weight | 0x8675b400 | 0x4000 |
| 290 | blk.31.ffn_up.weight | 0x8675f400 | 0x1004000 |
| 291 | blk.32.attn_k.weight | 0x87763400 | 0x128000 |
| 292 | blk.32.attn_norm.weight | 0x8788b400 | 0x4000 |
| 293 | blk.32.attn_output.weight | 0x8788f400 | 0x6e0000 |
| 294 | blk.32.attn_q.weight | 0x87f6f400 | 0x520000 |
| 295 | blk.32.attn_v.weight | 0x8848f400 | 0x150000 |
| 296 | blk.32.ffn_down.weight | 0x885df400 | 0x1004000 |
| 297 | blk.32.ffn_gate.weight | 0x895e3400 | 0xce4000 |
| 298 | blk.32.ffn_norm.weight | 0x8a2c7400 | 0x4000 |
| 299 | blk.32.ffn_up.weight | 0x8a2cb400 | 0xe74000 |
| 300 | blk.33.attn_k.weight | 0x8b13f400 | 0x128000 |
| 301 | blk.33.attn_norm.weight | 0x8b267400 | 0x4000 |
| 302 | blk.33.attn_output.weight | 0x8b26b400 | 0x6e0000 |
| 303 | blk.33.attn_q.weight | 0x8b94b400 | 0x520000 |
| 304 | blk.33.attn_v.weight | 0x8be6b400 | 0x150000 |
| 305 | blk.33.ffn_down.weight | 0x8bfbb400 | 0xe74000 |
| 306 | blk.33.ffn_gate.weight | 0x8ce2f400 | 0xce4000 |
| 307 | blk.33.ffn_norm.weight | 0x8db13400 | 0x4000 |
| 308 | blk.33.ffn_up.weight | 0x8db17400 | 0xe74000 |
| 309 | blk.34.attn_k.weight | 0x8e98b400 | 0x128000 |
| 310 | blk.34.attn_norm.weight | 0x8eab3400 | 0x4000 |
| 311 | blk.34.attn_output.weight | 0x8eab7400 | 0x6e0000 |
| 312 | blk.34.attn_q.weight | 0x8f197400 | 0x520000 |
| 313 | blk.34.attn_v.weight | 0x8f6b7400 | 0x150000 |
| 314 | blk.34.ffn_down.weight | 0x8f807400 | 0xe74000 |
| 315 | blk.34.ffn_gate.weight | 0x9067b400 | 0xce4000 |
| 316 | blk.34.ffn_norm.weight | 0x9135f400 | 0x4000 |
| 317 | blk.34.ffn_up.weight | 0x91363400 | 0xce4000 |
| 318 | blk.35.attn_k.weight | 0x92047400 | 0x128000 |
| 319 | blk.35.attn_norm.weight | 0x9216f400 | 0x4000 |
| 320 | blk.35.attn_output.weight | 0x92173400 | 0x6e0000 |
| 321 | blk.35.attn_q.weight | 0x92853400 | 0x520000 |
| 322 | blk.35.attn_v.weight | 0x92d73400 | 0x150000 |
| 323 | blk.35.ffn_down.weight | 0x92ec3400 | 0xe74000 |
| 324 | blk.35.ffn_gate.weight | 0x93d37400 | 0xce4000 |
| 325 | blk.35.ffn_norm.weight | 0x94a1b400 | 0x4000 |
| 326 | blk.35.ffn_up.weight | 0x94a1f400 | 0xe74000 |
| 327 | blk.36.attn_k.weight | 0x95893400 | 0x128000 |
| 328 | blk.36.attn_norm.weight | 0x959bb400 | 0x4000 |
| 329 | blk.36.attn_output.weight | 0x959bf400 | 0x6e0000 |
| 330 | blk.36.attn_q.weight | 0x9609f400 | 0x4a0000 |
| 331 | blk.36.attn_v.weight | 0x9653f400 | 0x150000 |
| 332 | blk.36.ffn_down.weight | 0x9668f400 | 0x1004000 |
| 333 | blk.36.ffn_gate.weight | 0x97693400 | 0xce4000 |
| 334 | blk.36.ffn_norm.weight | 0x98377400 | 0x4000 |
| 335 | blk.36.ffn_up.weight | 0x9837b400 | 0xe74000 |
| 336 | blk.37.attn_k.weight | 0x991ef400 | 0x128000 |
| 337 | blk.37.attn_norm.weight | 0x99317400 | 0x4000 |
| 338 | blk.37.attn_output.weight | 0x9931b400 | 0x6e0000 |
| 339 | blk.37.attn_q.weight | 0x999fb400 | 0x520000 |
| 340 | blk.37.attn_v.weight | 0x99f1b400 | 0x150000 |
| 341 | blk.37.ffn_down.weight | 0x9a06b400 | 0x1004000 |
| 342 | blk.37.ffn_gate.weight | 0x9b06f400 | 0xce4000 |
| 343 | blk.37.ffn_norm.weight | 0x9bd53400 | 0x4000 |
| 344 | blk.37.ffn_up.weight | 0x9bd57400 | 0xe74000 |
| 345 | blk.38.attn_k.weight | 0x9cbcb400 | 0x128000 |
| 346 | blk.38.attn_norm.weight | 0x9ccf3400 | 0x4000 |
| 347 | blk.38.attn_output.weight | 0x9ccf7400 | 0x6e0000 |
| 348 | blk.38.attn_q.weight | 0x9d3d7400 | 0x520000 |
| 349 | blk.38.attn_v.weight | 0x9d8f7400 | 0x150000 |
| 350 | blk.38.ffn_down.weight | 0x9da47400 | 0x1004000 |
| 351 | blk.38.ffn_gate.weight | 0x9ea4b400 | 0xce4000 |
| 352 | blk.38.ffn_norm.weight | 0x9f72f400 | 0x4000 |
| 353 | blk.38.ffn_up.weight | 0x9f733400 | 0xe74000 |
| 354 | blk.39.attn_k.weight | 0xa05a7400 | 0x128000 |
| 355 | blk.39.attn_norm.weight | 0xa06cf400 | 0x4000 |
| 356 | blk.39.attn_output.weight | 0xa06d3400 | 0x6e0000 |
| 357 | blk.39.attn_q.weight | 0xa0db3400 | 0x520000 |
| 358 | blk.39.attn_v.weight | 0xa12d3400 | 0x148000 |
| 359 | blk.39.ffn_down.weight | 0xa141b400 | 0xe74000 |
| 360 | blk.39.ffn_gate.weight | 0xa228f400 | 0xe74000 |
| 361 | blk.39.ffn_norm.weight | 0xa3103400 | 0x4000 |
| 362 | blk.39.ffn_up.weight | 0xa3107400 | 0xe74000 |
### 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 | Q3_K | 3.4375 |
| 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 | Q2_K | 2.6250 |
- Total elements in base: (~822M) 822087680
- Percentage of total elements: 9.35%
- Bits per Weight (BPW) for base: 3.0314 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 | IQ1_M | 1.7500 |
| 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 | Q2_K | 2.6250 |
| 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ1_M | 1.7500 |
| 7 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | IQ1_M | 1.7500 |
| 8 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ1_M | 1.7500 |
| 9 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ1_S | 1.5625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.0: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.0: 1.9236 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 15 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_XS | 2.3125 |
| 16 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | IQ3_XXS | 3.0625 |
| 17 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 18 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.1: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.1: 2.4900 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 24 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 25 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | IQ3_XXS | 3.0625 |
| 26 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 27 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.2: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.2: 2.5111 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 | IQ2_XXS | 2.0625 |
| 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 | IQ3_S | 3.4375 |
| 33 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_XS | 2.3125 |
| 34 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | IQ3_XXS | 3.0625 |
| 35 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_XXS | 2.0625 |
| 36 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.3: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.3: 2.2874 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 42 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 43 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | IQ3_XXS | 3.0625 |
| 44 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 45 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XXS | 2.0625 |
- Total elements in blk.4: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.4: 2.3795 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 51 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 52 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 53 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q2_K | 2.6250 |
| 54 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.5: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.5: 2.4525 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 60 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_XS | 2.3125 |
| 61 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 62 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 63 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.6: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.6: 2.4150 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 | IQ2_S | 2.5625 |
| 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 | IQ3_S | 3.4375 |
| 69 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 70 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 71 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 72 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.7: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.7: 2.5071 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 78 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 79 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 80 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 81 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.8: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.8: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 87 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 88 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 89 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 90 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.9: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.9: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 96 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 97 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 98 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 99 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.10: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.10: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 105 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 106 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 107 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 108 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ1_S | 1.5625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.11: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.11: 2.3703 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 114 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 115 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 116 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 117 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.12: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.12: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 123 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 124 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 125 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 126 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.13: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.13: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 132 | blk.14.attn_q.weight | Block 14 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 133 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 134 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 135 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.14: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.14: 2.5019 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 | IQ2_S | 2.5625 |
| 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 | IQ3_S | 3.4375 |
| 141 | blk.15.attn_q.weight | Block 15 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 142 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 143 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 144 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.15: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.15: 2.5071 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 | IQ2_S | 2.5625 |
| 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 | IQ3_XXS | 3.0625 |
| 150 | blk.16.attn_q.weight | Block 16 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 151 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 152 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 153 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.16: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.16: 2.4756 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 159 | blk.17.attn_q.weight | Block 17 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 160 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 161 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 162 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.17: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.17: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 168 | blk.18.attn_q.weight | Block 18 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 169 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 170 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 171 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.18: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.18: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 177 | blk.19.attn_q.weight | Block 19 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 178 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 179 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 180 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.19: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.19: 2.5019 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 | IQ2_S | 2.5625 |
| 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 | IQ3_S | 3.4375 |
| 186 | blk.20.attn_q.weight | Block 20 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 187 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 188 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 189 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.20: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.20: 2.5071 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 195 | blk.21.attn_q.weight | Block 21 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 196 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 197 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 198 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.21: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.21: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 204 | blk.22.attn_q.weight | Block 22 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 205 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 206 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 207 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.22: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.22: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 213 | blk.23.attn_q.weight | Block 23 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 214 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 215 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 216 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.23: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.23: 2.4361 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 222 | blk.24.attn_q.weight | Block 24 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_XS | 2.3125 |
| 223 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 224 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 225 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.24: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.24: 2.4150 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 231 | blk.25.attn_q.weight | Block 25 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 232 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 233 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 234 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.25: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.25: 2.5019 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 240 | blk.26.attn_q.weight | Block 26 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 241 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 242 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 243 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.26: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.26: 2.5019 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 | IQ2_S | 2.5625 |
| 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 | IQ3_S | 3.4375 |
| 249 | blk.27.attn_q.weight | Block 27 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 250 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 251 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 252 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.27: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.27: 2.4413 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 | IQ2_S | 2.5625 |
| 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 | IQ3_S | 3.4375 |
| 258 | blk.28.attn_q.weight | Block 28 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 259 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 260 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 261 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.28: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.28: 2.5071 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 267 | blk.29.attn_q.weight | Block 29 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 268 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 269 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 270 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.29: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.29: 2.5019 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 | IQ2_S | 2.5625 |
| 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 | IQ3_S | 3.4375 |
| 276 | blk.30.attn_q.weight | Block 30 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 277 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | IQ3_XXS | 3.0625 |
| 278 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 279 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.30: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.30: 2.4506 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 285 | blk.31.attn_q.weight | Block 31 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 286 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | IQ2_S | 2.5625 |
| 287 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 288 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_S | 2.5625 |
- Total elements in blk.31: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.31: 2.5006 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 294 | blk.32.attn_q.weight | Block 32 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 295 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 296 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 297 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.32: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.32: 2.4361 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 303 | blk.33.attn_q.weight | Block 33 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 304 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 305 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_XS | 2.3125 |
| 306 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.33: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.33: 2.3703 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 312 | blk.34.attn_q.weight | Block 34 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 313 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 314 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_XS | 2.3125 |
| 315 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XXS | 2.0625 |
- Total elements in blk.34: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.34: 2.3045 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 321 | blk.35.attn_q.weight | Block 35 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 322 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 323 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_XS | 2.3125 |
| 324 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.35: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.35: 2.3703 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 330 | blk.36.attn_q.weight | Block 36 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_XS | 2.3125 |
| 331 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 332 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 333 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.36: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.36: 2.4150 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 339 | blk.37.attn_q.weight | Block 37 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 340 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 341 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 342 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.37: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.37: 2.4361 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 348 | blk.38.attn_q.weight | Block 38 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 349 | blk.38.attn_v.weight | Block 38 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q2_K | 2.6250 |
| 350 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 351 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XXS | 2.0625 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.38: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.38: 2.4361 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 | IQ2_XS | 2.3125 |
| 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 | IQ3_S | 3.4375 |
| 357 | blk.39.attn_q.weight | Block 39 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ2_S | 2.5625 |
| 358 | blk.39.attn_v.weight | Block 39 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | IQ2_S | 2.5625 |
| 359 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | IQ2_XS | 2.3125 |
| 360 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ2_XS | 2.3125 |
| 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 | IQ2_XS | 2.3125 |
- Total elements in blk.39: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.39: 2.4348 bits
Total BPW for granite-4.1-8b-Q2_K.gguf: 2.5000 bits