# Hammer2.1-7b-IQ3_S.gguf - GGUF Internal File Dump
- Endian: LITTLE endian
## Key Value Metadata Store
There are 36 key-value pairs in this file
| POS | TYPE | Count | Key | Value |
|----:|:---------|-------:|:-------------------------------------------|:--------------------------------------------------------------------|
| 1 | UINT32 | 1 | GGUF.version | 3 |
| 2 | UINT64 | 1 | GGUF.tensor_count | 339 |
| 3 | UINT64 | 1 | GGUF.kv_count | 33 |
| 4 | STRING | 1 | general.architecture | `qwen2` |
| 5 | STRING | 1 | general.type | `model` |
| 6 | STRING | 1 | general.name | `Hammer2.1 7b GGUF` |
| 7 | STRING | 1 | general.finetune | `GGUF` |
| 8 | STRING | 1 | general.basename | `Hammer2.1` |
| 9 | STRING | 1 | general.size_label | `7B` |
| 10 | UINT32 | 1 | qwen2.block_count | 28 |
| 11 | UINT32 | 1 | qwen2.context_length | 32768 |
| 12 | UINT32 | 1 | qwen2.embedding_length | 3584 |
| 13 | UINT32 | 1 | qwen2.feed_forward_length | 18944 |
| 14 | UINT32 | 1 | qwen2.attention.head_count | 28 |
| 15 | UINT32 | 1 | qwen2.attention.head_count_kv | 4 |
| 16 | FLOAT32 | 1 | qwen2.rope.freq_base | 1000000.0 |
| 17 | FLOAT32 | 1 | qwen2.attention.layer_norm_rms_epsilon | 1e-06 |
| 18 | STRING | 1 | qwen2.rope.scaling.type | `yarn` |
| 19 | FLOAT32 | 1 | qwen2.rope.scaling.factor | 4.0 |
| 20 | UINT32 | 1 | qwen2.rope.scaling.original_context_length | 32768 |
| 21 | STRING | 1 | tokenizer.ggml.model | `gpt2` |
| 22 | STRING | 1 | tokenizer.ggml.pre | `qwen2` |
| 23 | [STRING] | 151665 | tokenizer.ggml.tokens | [ `!`, `"`, `#`, `$`, `%`, ... ] |
| 24 | [INT32] | 151665 | tokenizer.ggml.token_type | [ 1, 1, 1, 1, 1, 1, 1, ... ] |
| 25 | [STRING] | 151387 | tokenizer.ggml.merges | [ `Ġ Ġ`, `ĠĠ ĠĠ`, `i n`, `Ġ t`, `ĠĠĠĠ ĠĠĠĠ`, ... ] |
| 26 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 151645 |
| 27 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 151643 |
| 28 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 151643 |
| 29 | BOOL | 1 | tokenizer.ggml.add_bos_token | False |
| 30 | STRING | 1 | tokenizer.chat_template | `{%- set system_message = 'You `...`{- '<|im_start|>assistant' }}` |
| 31 | UINT32 | 1 | general.quantization_version | 2 |
| 32 | UINT32 | 1 | general.file_type | 26 |
| 33 | STRING | 1 | quantize.imatrix.file | `./imatrix/imatrix-Hammer2.1-7b-small.dat` |
| 34 | STRING | 1 | quantize.imatrix.dataset | `../../datasets/imatrix/calibration_eur_small.txt` |
| 35 | INT32 | 1 | quantize.imatrix.entries_count | 197 |
| 36 | INT32 | 1 | quantize.imatrix.chunks_count | 968 |
## Tensors Overview ~8B Elements
Total number of elements in all tensors: 7612756480 Elements
- [Hammer2.1-7b-IQ3\_S.gguf - GGUF Internal File Dump](#hammer21-7b-iq3_sgguf---gguf-internal-file-dump)
- [Key Value Metadata Store](#key-value-metadata-store)
- [Tensors Overview ~8B Elements](#tensors-overview-8b-elements)
- [Tensor Data Offset](#tensor-data-offset)
- [Base Tensor Group : ~1B Elements](#base-tensor-group--1b-elements)
- [Block 0 Tensor Group : ~233M Elements](#block-0-tensor-group--233m-elements)
- [Block 1 Tensor Group : ~233M Elements](#block-1-tensor-group--233m-elements)
- [Block 2 Tensor Group : ~233M Elements](#block-2-tensor-group--233m-elements)
- [Block 3 Tensor Group : ~233M Elements](#block-3-tensor-group--233m-elements)
- [Block 4 Tensor Group : ~233M Elements](#block-4-tensor-group--233m-elements)
- [Block 5 Tensor Group : ~233M Elements](#block-5-tensor-group--233m-elements)
- [Block 6 Tensor Group : ~233M Elements](#block-6-tensor-group--233m-elements)
- [Block 7 Tensor Group : ~233M Elements](#block-7-tensor-group--233m-elements)
- [Block 8 Tensor Group : ~233M Elements](#block-8-tensor-group--233m-elements)
- [Block 9 Tensor Group : ~233M Elements](#block-9-tensor-group--233m-elements)
- [Block 10 Tensor Group : ~233M Elements](#block-10-tensor-group--233m-elements)
- [Block 11 Tensor Group : ~233M Elements](#block-11-tensor-group--233m-elements)
- [Block 12 Tensor Group : ~233M Elements](#block-12-tensor-group--233m-elements)
- [Block 13 Tensor Group : ~233M Elements](#block-13-tensor-group--233m-elements)
- [Block 14 Tensor Group : ~233M Elements](#block-14-tensor-group--233m-elements)
- [Block 15 Tensor Group : ~233M Elements](#block-15-tensor-group--233m-elements)
- [Block 16 Tensor Group : ~233M Elements](#block-16-tensor-group--233m-elements)
- [Block 17 Tensor Group : ~233M Elements](#block-17-tensor-group--233m-elements)
- [Block 18 Tensor Group : ~233M Elements](#block-18-tensor-group--233m-elements)
- [Block 19 Tensor Group : ~233M Elements](#block-19-tensor-group--233m-elements)
- [Block 20 Tensor Group : ~233M Elements](#block-20-tensor-group--233m-elements)
- [Block 21 Tensor Group : ~233M Elements](#block-21-tensor-group--233m-elements)
- [Block 22 Tensor Group : ~233M Elements](#block-22-tensor-group--233m-elements)
- [Block 23 Tensor Group : ~233M Elements](#block-23-tensor-group--233m-elements)
- [Block 24 Tensor Group : ~233M Elements](#block-24-tensor-group--233m-elements)
- [Block 25 Tensor Group : ~233M Elements](#block-25-tensor-group--233m-elements)
- [Block 26 Tensor Group : ~233M Elements](#block-26-tensor-group--233m-elements)
- [Block 27 Tensor Group : ~233M Elements](#block-27-tensor-group--233m-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 | 0x5ab4c0 | 0xc671d9c |
| 1 | output_norm.weight | 0xcc1d260 | 0x3800 |
| 2 | token_embd.weight | 0xcc20a60 | 0xc671d9c |
| 3 | blk.0.attn_k.bias | 0x19292800 | 0x800 |
| 4 | blk.0.attn_k.weight | 0x19293000 | 0xab800 |
| 5 | blk.0.attn_norm.weight | 0x1933e800 | 0x3800 |
| 6 | blk.0.attn_output.weight | 0x19342000 | 0x543800 |
| 7 | blk.0.attn_q.bias | 0x19885800 | 0x3800 |
| 8 | blk.0.attn_q.weight | 0x19889000 | 0x4b0800 |
| 9 | blk.0.attn_v.bias | 0x19d39800 | 0x800 |
| 10 | blk.0.attn_v.weight | 0x19d3a000 | 0xc0800 |
| 11 | blk.0.ffn_down.weight | 0x19dfa800 | 0x1bd2800 |
| 12 | blk.0.ffn_gate.weight | 0x1b9cd000 | 0x18c9800 |
| 13 | blk.0.ffn_norm.weight | 0x1d296800 | 0x3800 |
| 14 | blk.0.ffn_up.weight | 0x1d29a000 | 0x18c9800 |
| 15 | blk.1.attn_k.bias | 0x1eb63800 | 0x800 |
| 16 | blk.1.attn_k.weight | 0x1eb64000 | 0xab800 |
| 17 | blk.1.attn_norm.weight | 0x1ec0f800 | 0x3800 |
| 18 | blk.1.attn_output.weight | 0x1ec13000 | 0x543800 |
| 19 | blk.1.attn_q.bias | 0x1f156800 | 0x3800 |
| 20 | blk.1.attn_q.weight | 0x1f15a000 | 0x4b0800 |
| 21 | blk.1.attn_v.bias | 0x1f60a800 | 0x800 |
| 22 | blk.1.attn_v.weight | 0x1f60b000 | 0xc0800 |
| 23 | blk.1.ffn_down.weight | 0x1f6cb800 | 0x1bd2800 |
| 24 | blk.1.ffn_gate.weight | 0x2129e000 | 0x1bd2800 |
| 25 | blk.1.ffn_norm.weight | 0x22e70800 | 0x3800 |
| 26 | blk.1.ffn_up.weight | 0x22e74000 | 0x1bd2800 |
| 27 | blk.2.attn_k.bias | 0x24a46800 | 0x800 |
| 28 | blk.2.attn_k.weight | 0x24a47000 | 0xab800 |
| 29 | blk.2.attn_norm.weight | 0x24af2800 | 0x3800 |
| 30 | blk.2.attn_output.weight | 0x24af6000 | 0x543800 |
| 31 | blk.2.attn_q.bias | 0x25039800 | 0x3800 |
| 32 | blk.2.attn_q.weight | 0x2503d000 | 0x4b0800 |
| 33 | blk.2.attn_v.bias | 0x254ed800 | 0x800 |
| 34 | blk.2.attn_v.weight | 0x254ee000 | 0xc0800 |
| 35 | blk.2.ffn_down.weight | 0x255ae800 | 0x1bd2800 |
| 36 | blk.2.ffn_gate.weight | 0x27181000 | 0x1bd2800 |
| 37 | blk.2.ffn_norm.weight | 0x28d53800 | 0x3800 |
| 38 | blk.2.ffn_up.weight | 0x28d57000 | 0x1bd2800 |
| 39 | blk.3.attn_k.bias | 0x2a929800 | 0x800 |
| 40 | blk.3.attn_k.weight | 0x2a92a000 | 0xab800 |
| 41 | blk.3.attn_norm.weight | 0x2a9d5800 | 0x3800 |
| 42 | blk.3.attn_output.weight | 0x2a9d9000 | 0x543800 |
| 43 | blk.3.attn_q.bias | 0x2af1c800 | 0x3800 |
| 44 | blk.3.attn_q.weight | 0x2af20000 | 0x4b0800 |
| 45 | blk.3.attn_v.bias | 0x2b3d0800 | 0x800 |
| 46 | blk.3.attn_v.weight | 0x2b3d1000 | 0xc0800 |
| 47 | blk.3.ffn_down.weight | 0x2b491800 | 0x246c000 |
| 48 | blk.3.ffn_gate.weight | 0x2d8fd800 | 0x1bd2800 |
| 49 | blk.3.ffn_norm.weight | 0x2f4d0000 | 0x3800 |
| 50 | blk.3.ffn_up.weight | 0x2f4d3800 | 0x1bd2800 |
| 51 | blk.4.attn_k.bias | 0x310a6000 | 0x800 |
| 52 | blk.4.attn_k.weight | 0x310a6800 | 0xab800 |
| 53 | blk.4.attn_norm.weight | 0x31152000 | 0x3800 |
| 54 | blk.4.attn_output.weight | 0x31155800 | 0x543800 |
| 55 | blk.4.attn_q.bias | 0x31699000 | 0x3800 |
| 56 | blk.4.attn_q.weight | 0x3169c800 | 0x4b0800 |
| 57 | blk.4.attn_v.bias | 0x31b4d000 | 0x800 |
| 58 | blk.4.attn_v.weight | 0x31b4d800 | 0xc0800 |
| 59 | blk.4.ffn_down.weight | 0x31c0e000 | 0x1bd2800 |
| 60 | blk.4.ffn_gate.weight | 0x337e0800 | 0x1bd2800 |
| 61 | blk.4.ffn_norm.weight | 0x353b3000 | 0x3800 |
| 62 | blk.4.ffn_up.weight | 0x353b6800 | 0x1bd2800 |
| 63 | blk.5.attn_k.bias | 0x36f89000 | 0x800 |
| 64 | blk.5.attn_k.weight | 0x36f89800 | 0xab800 |
| 65 | blk.5.attn_norm.weight | 0x37035000 | 0x3800 |
| 66 | blk.5.attn_output.weight | 0x37038800 | 0x543800 |
| 67 | blk.5.attn_q.bias | 0x3757c000 | 0x3800 |
| 68 | blk.5.attn_q.weight | 0x3757f800 | 0x4b0800 |
| 69 | blk.5.attn_v.bias | 0x37a30000 | 0x800 |
| 70 | blk.5.attn_v.weight | 0x37a30800 | 0xc0800 |
| 71 | blk.5.ffn_down.weight | 0x37af1000 | 0x1bd2800 |
| 72 | blk.5.ffn_gate.weight | 0x396c3800 | 0x1bd2800 |
| 73 | blk.5.ffn_norm.weight | 0x3b296000 | 0x3800 |
| 74 | blk.5.ffn_up.weight | 0x3b299800 | 0x1bd2800 |
| 75 | blk.6.attn_k.bias | 0x3ce6c000 | 0x800 |
| 76 | blk.6.attn_k.weight | 0x3ce6c800 | 0xab800 |
| 77 | blk.6.attn_norm.weight | 0x3cf18000 | 0x3800 |
| 78 | blk.6.attn_output.weight | 0x3cf1b800 | 0x543800 |
| 79 | blk.6.attn_q.bias | 0x3d45f000 | 0x3800 |
| 80 | blk.6.attn_q.weight | 0x3d462800 | 0x4b0800 |
| 81 | blk.6.attn_v.bias | 0x3d913000 | 0x800 |
| 82 | blk.6.attn_v.weight | 0x3d913800 | 0xc0800 |
| 83 | blk.6.ffn_down.weight | 0x3d9d4000 | 0x1bd2800 |
| 84 | blk.6.ffn_gate.weight | 0x3f5a6800 | 0x18c9800 |
| 85 | blk.6.ffn_norm.weight | 0x40e70000 | 0x3800 |
| 86 | blk.6.ffn_up.weight | 0x40e73800 | 0x18c9800 |
| 87 | blk.7.attn_k.bias | 0x4273d000 | 0x800 |
| 88 | blk.7.attn_k.weight | 0x4273d800 | 0xab800 |
| 89 | blk.7.attn_norm.weight | 0x427e9000 | 0x3800 |
| 90 | blk.7.attn_output.weight | 0x427ec800 | 0x543800 |
| 91 | blk.7.attn_q.bias | 0x42d30000 | 0x3800 |
| 92 | blk.7.attn_q.weight | 0x42d33800 | 0x4b0800 |
| 93 | blk.7.attn_v.bias | 0x431e4000 | 0x800 |
| 94 | blk.7.attn_v.weight | 0x431e4800 | 0xc0800 |
| 95 | blk.7.ffn_down.weight | 0x432a5000 | 0x246c000 |
| 96 | blk.7.ffn_gate.weight | 0x45711000 | 0x18c9800 |
| 97 | blk.7.ffn_norm.weight | 0x46fda800 | 0x3800 |
| 98 | blk.7.ffn_up.weight | 0x46fde000 | 0x18c9800 |
| 99 | blk.8.attn_k.bias | 0x488a7800 | 0x800 |
| 100 | blk.8.attn_k.weight | 0x488a8000 | 0xab800 |
| 101 | blk.8.attn_norm.weight | 0x48953800 | 0x3800 |
| 102 | blk.8.attn_output.weight | 0x48957000 | 0x543800 |
| 103 | blk.8.attn_q.bias | 0x48e9a800 | 0x3800 |
| 104 | blk.8.attn_q.weight | 0x48e9e000 | 0x4b0800 |
| 105 | blk.8.attn_v.bias | 0x4934e800 | 0x800 |
| 106 | blk.8.attn_v.weight | 0x4934f000 | 0xc0800 |
| 107 | blk.8.ffn_down.weight | 0x4940f800 | 0x1bd2800 |
| 108 | blk.8.ffn_gate.weight | 0x4afe2000 | 0x18c9800 |
| 109 | blk.8.ffn_norm.weight | 0x4c8ab800 | 0x3800 |
| 110 | blk.8.ffn_up.weight | 0x4c8af000 | 0x18c9800 |
| 111 | blk.9.attn_k.bias | 0x4e178800 | 0x800 |
| 112 | blk.9.attn_k.weight | 0x4e179000 | 0xab800 |
| 113 | blk.9.attn_norm.weight | 0x4e224800 | 0x3800 |
| 114 | blk.9.attn_output.weight | 0x4e228000 | 0x543800 |
| 115 | blk.9.attn_q.bias | 0x4e76b800 | 0x3800 |
| 116 | blk.9.attn_q.weight | 0x4e76f000 | 0x4b0800 |
| 117 | blk.9.attn_v.bias | 0x4ec1f800 | 0x800 |
| 118 | blk.9.attn_v.weight | 0x4ec20000 | 0xc0800 |
| 119 | blk.9.ffn_down.weight | 0x4ece0800 | 0x246c000 |
| 120 | blk.9.ffn_gate.weight | 0x5114c800 | 0x1bd2800 |
| 121 | blk.9.ffn_norm.weight | 0x52d1f000 | 0x3800 |
| 122 | blk.9.ffn_up.weight | 0x52d22800 | 0x1bd2800 |
| 123 | blk.10.attn_k.bias | 0x548f5000 | 0x800 |
| 124 | blk.10.attn_k.weight | 0x548f5800 | 0xab800 |
| 125 | blk.10.attn_norm.weight | 0x549a1000 | 0x3800 |
| 126 | blk.10.attn_output.weight | 0x549a4800 | 0x543800 |
| 127 | blk.10.attn_q.bias | 0x54ee8000 | 0x3800 |
| 128 | blk.10.attn_q.weight | 0x54eeb800 | 0x4b0800 |
| 129 | blk.10.attn_v.bias | 0x5539c000 | 0x800 |
| 130 | blk.10.attn_v.weight | 0x5539c800 | 0xc0800 |
| 131 | blk.10.ffn_down.weight | 0x5545d000 | 0x246c000 |
| 132 | blk.10.ffn_gate.weight | 0x578c9000 | 0x18c9800 |
| 133 | blk.10.ffn_norm.weight | 0x59192800 | 0x3800 |
| 134 | blk.10.ffn_up.weight | 0x59196000 | 0x18c9800 |
| 135 | blk.11.attn_k.bias | 0x5aa5f800 | 0x800 |
| 136 | blk.11.attn_k.weight | 0x5aa60000 | 0xab800 |
| 137 | blk.11.attn_norm.weight | 0x5ab0b800 | 0x3800 |
| 138 | blk.11.attn_output.weight | 0x5ab0f000 | 0x543800 |
| 139 | blk.11.attn_q.bias | 0x5b052800 | 0x3800 |
| 140 | blk.11.attn_q.weight | 0x5b056000 | 0x4b0800 |
| 141 | blk.11.attn_v.bias | 0x5b506800 | 0x800 |
| 142 | blk.11.attn_v.weight | 0x5b507000 | 0xc0800 |
| 143 | blk.11.ffn_down.weight | 0x5b5c7800 | 0x1bd2800 |
| 144 | blk.11.ffn_gate.weight | 0x5d19a000 | 0x18c9800 |
| 145 | blk.11.ffn_norm.weight | 0x5ea63800 | 0x3800 |
| 146 | blk.11.ffn_up.weight | 0x5ea67000 | 0x18c9800 |
| 147 | blk.12.attn_k.bias | 0x60330800 | 0x800 |
| 148 | blk.12.attn_k.weight | 0x60331000 | 0xab800 |
| 149 | blk.12.attn_norm.weight | 0x603dc800 | 0x3800 |
| 150 | blk.12.attn_output.weight | 0x603e0000 | 0x543800 |
| 151 | blk.12.attn_q.bias | 0x60923800 | 0x3800 |
| 152 | blk.12.attn_q.weight | 0x60927000 | 0x4b0800 |
| 153 | blk.12.attn_v.bias | 0x60dd7800 | 0x800 |
| 154 | blk.12.attn_v.weight | 0x60dd8000 | 0xc0800 |
| 155 | blk.12.ffn_down.weight | 0x60e98800 | 0x1bd2800 |
| 156 | blk.12.ffn_gate.weight | 0x62a6b000 | 0x18c9800 |
| 157 | blk.12.ffn_norm.weight | 0x64334800 | 0x3800 |
| 158 | blk.12.ffn_up.weight | 0x64338000 | 0x18c9800 |
| 159 | blk.13.attn_k.bias | 0x65c01800 | 0x800 |
| 160 | blk.13.attn_k.weight | 0x65c02000 | 0xab800 |
| 161 | blk.13.attn_norm.weight | 0x65cad800 | 0x3800 |
| 162 | blk.13.attn_output.weight | 0x65cb1000 | 0x543800 |
| 163 | blk.13.attn_q.bias | 0x661f4800 | 0x3800 |
| 164 | blk.13.attn_q.weight | 0x661f8000 | 0x4b0800 |
| 165 | blk.13.attn_v.bias | 0x666a8800 | 0x800 |
| 166 | blk.13.attn_v.weight | 0x666a9000 | 0xc0800 |
| 167 | blk.13.ffn_down.weight | 0x66769800 | 0x1bd2800 |
| 168 | blk.13.ffn_gate.weight | 0x6833c000 | 0x18c9800 |
| 169 | blk.13.ffn_norm.weight | 0x69c05800 | 0x3800 |
| 170 | blk.13.ffn_up.weight | 0x69c09000 | 0x18c9800 |
| 171 | blk.14.attn_k.bias | 0x6b4d2800 | 0x800 |
| 172 | blk.14.attn_k.weight | 0x6b4d3000 | 0xc0800 |
| 173 | blk.14.attn_norm.weight | 0x6b593800 | 0x3800 |
| 174 | blk.14.attn_output.weight | 0x6b597000 | 0x543800 |
| 175 | blk.14.attn_q.bias | 0x6bada800 | 0x3800 |
| 176 | blk.14.attn_q.weight | 0x6bade000 | 0x543800 |
| 177 | blk.14.attn_v.bias | 0x6c021800 | 0x800 |
| 178 | blk.14.attn_v.weight | 0x6c022000 | 0xc0800 |
| 179 | blk.14.ffn_down.weight | 0x6c0e2800 | 0x1bd2800 |
| 180 | blk.14.ffn_gate.weight | 0x6dcb5000 | 0x18c9800 |
| 181 | blk.14.ffn_norm.weight | 0x6f57e800 | 0x3800 |
| 182 | blk.14.ffn_up.weight | 0x6f582000 | 0x18c9800 |
| 183 | blk.15.attn_k.bias | 0x70e4b800 | 0x800 |
| 184 | blk.15.attn_k.weight | 0x70e4c000 | 0xc0800 |
| 185 | blk.15.attn_norm.weight | 0x70f0c800 | 0x3800 |
| 186 | blk.15.attn_output.weight | 0x70f10000 | 0x543800 |
| 187 | blk.15.attn_q.bias | 0x71453800 | 0x3800 |
| 188 | blk.15.attn_q.weight | 0x71457000 | 0x543800 |
| 189 | blk.15.attn_v.bias | 0x7199a800 | 0x800 |
| 190 | blk.15.attn_v.weight | 0x7199b000 | 0xc0800 |
| 191 | blk.15.ffn_down.weight | 0x71a5b800 | 0x1bd2800 |
| 192 | blk.15.ffn_gate.weight | 0x7362e000 | 0x18c9800 |
| 193 | blk.15.ffn_norm.weight | 0x74ef7800 | 0x3800 |
| 194 | blk.15.ffn_up.weight | 0x74efb000 | 0x18c9800 |
| 195 | blk.16.attn_k.bias | 0x767c4800 | 0x800 |
| 196 | blk.16.attn_k.weight | 0x767c5000 | 0xc0800 |
| 197 | blk.16.attn_norm.weight | 0x76885800 | 0x3800 |
| 198 | blk.16.attn_output.weight | 0x76889000 | 0x543800 |
| 199 | blk.16.attn_q.bias | 0x76dcc800 | 0x3800 |
| 200 | blk.16.attn_q.weight | 0x76dd0000 | 0x543800 |
| 201 | blk.16.attn_v.bias | 0x77313800 | 0x800 |
| 202 | blk.16.attn_v.weight | 0x77314000 | 0xc0800 |
| 203 | blk.16.ffn_down.weight | 0x773d4800 | 0x1bd2800 |
| 204 | blk.16.ffn_gate.weight | 0x78fa7000 | 0x18c9800 |
| 205 | blk.16.ffn_norm.weight | 0x7a870800 | 0x3800 |
| 206 | blk.16.ffn_up.weight | 0x7a874000 | 0x18c9800 |
| 207 | blk.17.attn_k.bias | 0x7c13d800 | 0x800 |
| 208 | blk.17.attn_k.weight | 0x7c13e000 | 0xc0800 |
| 209 | blk.17.attn_norm.weight | 0x7c1fe800 | 0x3800 |
| 210 | blk.17.attn_output.weight | 0x7c202000 | 0x543800 |
| 211 | blk.17.attn_q.bias | 0x7c745800 | 0x3800 |
| 212 | blk.17.attn_q.weight | 0x7c749000 | 0x543800 |
| 213 | blk.17.attn_v.bias | 0x7cc8c800 | 0x800 |
| 214 | blk.17.attn_v.weight | 0x7cc8d000 | 0xc0800 |
| 215 | blk.17.ffn_down.weight | 0x7cd4d800 | 0x1bd2800 |
| 216 | blk.17.ffn_gate.weight | 0x7e920000 | 0x18c9800 |
| 217 | blk.17.ffn_norm.weight | 0x801e9800 | 0x3800 |
| 218 | blk.17.ffn_up.weight | 0x801ed000 | 0x18c9800 |
| 219 | blk.18.attn_k.bias | 0x81ab6800 | 0x800 |
| 220 | blk.18.attn_k.weight | 0x81ab7000 | 0xc0800 |
| 221 | blk.18.attn_norm.weight | 0x81b77800 | 0x3800 |
| 222 | blk.18.attn_output.weight | 0x81b7b000 | 0x543800 |
| 223 | blk.18.attn_q.bias | 0x820be800 | 0x3800 |
| 224 | blk.18.attn_q.weight | 0x820c2000 | 0x543800 |
| 225 | blk.18.attn_v.bias | 0x82605800 | 0x800 |
| 226 | blk.18.attn_v.weight | 0x82606000 | 0xc0800 |
| 227 | blk.18.ffn_down.weight | 0x826c6800 | 0x246c000 |
| 228 | blk.18.ffn_gate.weight | 0x84b32800 | 0x18c9800 |
| 229 | blk.18.ffn_norm.weight | 0x863fc000 | 0x3800 |
| 230 | blk.18.ffn_up.weight | 0x863ff800 | 0x18c9800 |
| 231 | blk.19.attn_k.bias | 0x87cc9000 | 0x800 |
| 232 | blk.19.attn_k.weight | 0x87cc9800 | 0xc0800 |
| 233 | blk.19.attn_norm.weight | 0x87d8a000 | 0x3800 |
| 234 | blk.19.attn_output.weight | 0x87d8d800 | 0x543800 |
| 235 | blk.19.attn_q.bias | 0x882d1000 | 0x3800 |
| 236 | blk.19.attn_q.weight | 0x882d4800 | 0x543800 |
| 237 | blk.19.attn_v.bias | 0x88818000 | 0x800 |
| 238 | blk.19.attn_v.weight | 0x88818800 | 0xc0800 |
| 239 | blk.19.ffn_down.weight | 0x888d9000 | 0x246c000 |
| 240 | blk.19.ffn_gate.weight | 0x8ad45000 | 0x18c9800 |
| 241 | blk.19.ffn_norm.weight | 0x8c60e800 | 0x3800 |
| 242 | blk.19.ffn_up.weight | 0x8c612000 | 0x18c9800 |
| 243 | blk.20.attn_k.bias | 0x8dedb800 | 0x800 |
| 244 | blk.20.attn_k.weight | 0x8dedc000 | 0xc0800 |
| 245 | blk.20.attn_norm.weight | 0x8df9c800 | 0x3800 |
| 246 | blk.20.attn_output.weight | 0x8dfa0000 | 0x543800 |
| 247 | blk.20.attn_q.bias | 0x8e4e3800 | 0x3800 |
| 248 | blk.20.attn_q.weight | 0x8e4e7000 | 0x543800 |
| 249 | blk.20.attn_v.bias | 0x8ea2a800 | 0x800 |
| 250 | blk.20.attn_v.weight | 0x8ea2b000 | 0xc0800 |
| 251 | blk.20.ffn_down.weight | 0x8eaeb800 | 0x246c000 |
| 252 | blk.20.ffn_gate.weight | 0x90f57800 | 0x1bd2800 |
| 253 | blk.20.ffn_norm.weight | 0x92b2a000 | 0x3800 |
| 254 | blk.20.ffn_up.weight | 0x92b2d800 | 0x1bd2800 |
| 255 | blk.21.attn_k.bias | 0x94700000 | 0x800 |
| 256 | blk.21.attn_k.weight | 0x94700800 | 0xc0800 |
| 257 | blk.21.attn_norm.weight | 0x947c1000 | 0x3800 |
| 258 | blk.21.attn_output.weight | 0x947c4800 | 0x543800 |
| 259 | blk.21.attn_q.bias | 0x94d08000 | 0x3800 |
| 260 | blk.21.attn_q.weight | 0x94d0b800 | 0x543800 |
| 261 | blk.21.attn_v.bias | 0x9524f000 | 0x800 |
| 262 | blk.21.attn_v.weight | 0x9524f800 | 0xc0800 |
| 263 | blk.21.ffn_down.weight | 0x95310000 | 0x246c000 |
| 264 | blk.21.ffn_gate.weight | 0x9777c000 | 0x1bd2800 |
| 265 | blk.21.ffn_norm.weight | 0x9934e800 | 0x3800 |
| 266 | blk.21.ffn_up.weight | 0x99352000 | 0x1bd2800 |
| 267 | blk.22.attn_k.bias | 0x9af24800 | 0x800 |
| 268 | blk.22.attn_k.weight | 0x9af25000 | 0xc0800 |
| 269 | blk.22.attn_norm.weight | 0x9afe5800 | 0x3800 |
| 270 | blk.22.attn_output.weight | 0x9afe9000 | 0x543800 |
| 271 | blk.22.attn_q.bias | 0x9b52c800 | 0x3800 |
| 272 | blk.22.attn_q.weight | 0x9b530000 | 0x543800 |
| 273 | blk.22.attn_v.bias | 0x9ba73800 | 0x800 |
| 274 | blk.22.attn_v.weight | 0x9ba74000 | 0xc0800 |
| 275 | blk.22.ffn_down.weight | 0x9bb34800 | 0x246c000 |
| 276 | blk.22.ffn_gate.weight | 0x9dfa0800 | 0x1bd2800 |
| 277 | blk.22.ffn_norm.weight | 0x9fb73000 | 0x3800 |
| 278 | blk.22.ffn_up.weight | 0x9fb76800 | 0x1bd2800 |
| 279 | blk.23.attn_k.bias | 0xa1749000 | 0x800 |
| 280 | blk.23.attn_k.weight | 0xa1749800 | 0xc0800 |
| 281 | blk.23.attn_norm.weight | 0xa180a000 | 0x3800 |
| 282 | blk.23.attn_output.weight | 0xa180d800 | 0x543800 |
| 283 | blk.23.attn_q.bias | 0xa1d51000 | 0x3800 |
| 284 | blk.23.attn_q.weight | 0xa1d54800 | 0x543800 |
| 285 | blk.23.attn_v.bias | 0xa2298000 | 0x800 |
| 286 | blk.23.attn_v.weight | 0xa2298800 | 0xc0800 |
| 287 | blk.23.ffn_down.weight | 0xa2359000 | 0x246c000 |
| 288 | blk.23.ffn_gate.weight | 0xa47c5000 | 0x1bd2800 |
| 289 | blk.23.ffn_norm.weight | 0xa6397800 | 0x3800 |
| 290 | blk.23.ffn_up.weight | 0xa639b000 | 0x1bd2800 |
| 291 | blk.24.attn_k.bias | 0xa7f6d800 | 0x800 |
| 292 | blk.24.attn_k.weight | 0xa7f6e000 | 0xc0800 |
| 293 | blk.24.attn_norm.weight | 0xa802e800 | 0x3800 |
| 294 | blk.24.attn_output.weight | 0xa8032000 | 0x543800 |
| 295 | blk.24.attn_q.bias | 0xa8575800 | 0x3800 |
| 296 | blk.24.attn_q.weight | 0xa8579000 | 0x543800 |
| 297 | blk.24.attn_v.bias | 0xa8abc800 | 0x800 |
| 298 | blk.24.attn_v.weight | 0xa8abd000 | 0xc0800 |
| 299 | blk.24.ffn_down.weight | 0xa8b7d800 | 0x246c000 |
| 300 | blk.24.ffn_gate.weight | 0xaafe9800 | 0x1bd2800 |
| 301 | blk.24.ffn_norm.weight | 0xacbbc000 | 0x3800 |
| 302 | blk.24.ffn_up.weight | 0xacbbf800 | 0x1bd2800 |
| 303 | blk.25.attn_k.bias | 0xae792000 | 0x800 |
| 304 | blk.25.attn_k.weight | 0xae792800 | 0xc0800 |
| 305 | blk.25.attn_norm.weight | 0xae853000 | 0x3800 |
| 306 | blk.25.attn_output.weight | 0xae856800 | 0x543800 |
| 307 | blk.25.attn_q.bias | 0xaed9a000 | 0x3800 |
| 308 | blk.25.attn_q.weight | 0xaed9d800 | 0x543800 |
| 309 | blk.25.attn_v.bias | 0xaf2e1000 | 0x800 |
| 310 | blk.25.attn_v.weight | 0xaf2e1800 | 0xc0800 |
| 311 | blk.25.ffn_down.weight | 0xaf3a2000 | 0x246c000 |
| 312 | blk.25.ffn_gate.weight | 0xb180e000 | 0x1bd2800 |
| 313 | blk.25.ffn_norm.weight | 0xb33e0800 | 0x3800 |
| 314 | blk.25.ffn_up.weight | 0xb33e4000 | 0x1bd2800 |
| 315 | blk.26.attn_k.bias | 0xb4fb6800 | 0x800 |
| 316 | blk.26.attn_k.weight | 0xb4fb7000 | 0xc0800 |
| 317 | blk.26.attn_norm.weight | 0xb5077800 | 0x3800 |
| 318 | blk.26.attn_output.weight | 0xb507b000 | 0x543800 |
| 319 | blk.26.attn_q.bias | 0xb55be800 | 0x3800 |
| 320 | blk.26.attn_q.weight | 0xb55c2000 | 0x543800 |
| 321 | blk.26.attn_v.bias | 0xb5b05800 | 0x800 |
| 322 | blk.26.attn_v.weight | 0xb5b06000 | 0xc0800 |
| 323 | blk.26.ffn_down.weight | 0xb5bc6800 | 0x246c000 |
| 324 | blk.26.ffn_gate.weight | 0xb8032800 | 0x1bd2800 |
| 325 | blk.26.ffn_norm.weight | 0xb9c05000 | 0x3800 |
| 326 | blk.26.ffn_up.weight | 0xb9c08800 | 0x1bd2800 |
| 327 | blk.27.attn_k.bias | 0xbb7db000 | 0x800 |
| 328 | blk.27.attn_k.weight | 0xbb7db800 | 0xc0800 |
| 329 | blk.27.attn_norm.weight | 0xbb89c000 | 0x3800 |
| 330 | blk.27.attn_output.weight | 0xbb89f800 | 0x543800 |
| 331 | blk.27.attn_q.bias | 0xbbde3000 | 0x3800 |
| 332 | blk.27.attn_q.weight | 0xbbde6800 | 0x543800 |
| 333 | blk.27.attn_v.bias | 0xbc32a000 | 0x800 |
| 334 | blk.27.attn_v.weight | 0xbc32a800 | 0xc0800 |
| 335 | blk.27.ffn_down.weight | 0xbc3eb000 | 0x246c000 |
| 336 | blk.27.ffn_gate.weight | 0xbe857000 | 0x1bd2800 |
| 337 | blk.27.ffn_norm.weight | 0xc0429800 | 0x3800 |
| 338 | blk.27.ffn_up.weight | 0xc042d000 | 0x1bd2800 |
### Base Tensor Group : ~1B Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------|:---------------------------------|:------------------|:----------------------|:--------|
| 0 | output.weight | Output (W) | (~544M) 543567360 | 3584 x 151665 x 1 x 1 | IQ3_XXS |
| 1 | output_norm.weight | Output Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 2 | token_embd.weight | Token Embedding (W) | (~544M) 543567360 | 3584 x 151665 x 1 x 1 | IQ3_XXS |
- Total elements in base: ( ~1B) 1087138304
- Percentage of total elements: 14.28%
### Block 0 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 3 | blk.0.attn_k.bias | Block 0 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 4 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 5 | blk.0.attn_norm.weight | Block 0 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 6 | blk.0.attn_output.weight | Block 0 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 7 | blk.0.attn_q.bias | Block 0 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 8 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 9 | blk.0.attn_v.bias | Block 0 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 10 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 11 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 12 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 13 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 14 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.0: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 1 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 15 | blk.1.attn_k.bias | Block 1 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 16 | blk.1.attn_k.weight | Block 1 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 17 | blk.1.attn_norm.weight | Block 1 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 18 | blk.1.attn_output.weight | Block 1 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 19 | blk.1.attn_q.bias | Block 1 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 20 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 21 | blk.1.attn_v.bias | Block 1 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 22 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 23 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 24 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 25 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 26 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.1: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 2 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 27 | blk.2.attn_k.bias | Block 2 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 28 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 29 | blk.2.attn_norm.weight | Block 2 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 30 | blk.2.attn_output.weight | Block 2 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 31 | blk.2.attn_q.bias | Block 2 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 32 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 33 | blk.2.attn_v.bias | Block 2 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 34 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 35 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 36 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 37 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 38 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.2: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 3 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 39 | blk.3.attn_k.bias | Block 3 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 40 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 41 | blk.3.attn_norm.weight | Block 3 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 42 | blk.3.attn_output.weight | Block 3 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 43 | blk.3.attn_q.bias | Block 3 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 44 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 45 | blk.3.attn_v.bias | Block 3 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 46 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 47 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 48 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 49 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 50 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.3: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 4 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 51 | blk.4.attn_k.bias | Block 4 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 52 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 53 | blk.4.attn_norm.weight | Block 4 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 54 | blk.4.attn_output.weight | Block 4 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 55 | blk.4.attn_q.bias | Block 4 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 56 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 57 | blk.4.attn_v.bias | Block 4 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 58 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 59 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 60 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 61 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 62 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.4: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 5 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 63 | blk.5.attn_k.bias | Block 5 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 64 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 65 | blk.5.attn_norm.weight | Block 5 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 66 | blk.5.attn_output.weight | Block 5 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 67 | blk.5.attn_q.bias | Block 5 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 68 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 69 | blk.5.attn_v.bias | Block 5 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 70 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 71 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 72 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 73 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 74 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.5: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 6 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 75 | blk.6.attn_k.bias | Block 6 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 76 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 77 | blk.6.attn_norm.weight | Block 6 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 78 | blk.6.attn_output.weight | Block 6 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 79 | blk.6.attn_q.bias | Block 6 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 80 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 81 | blk.6.attn_v.bias | Block 6 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 82 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 83 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 84 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 85 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 86 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.6: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 7 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 87 | blk.7.attn_k.bias | Block 7 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 88 | blk.7.attn_k.weight | Block 7 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 89 | blk.7.attn_norm.weight | Block 7 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 90 | blk.7.attn_output.weight | Block 7 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 91 | blk.7.attn_q.bias | Block 7 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 92 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 93 | blk.7.attn_v.bias | Block 7 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 94 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 95 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 96 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 97 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 98 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.7: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 8 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 99 | blk.8.attn_k.bias | Block 8 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 100 | blk.8.attn_k.weight | Block 8 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 101 | blk.8.attn_norm.weight | Block 8 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 102 | blk.8.attn_output.weight | Block 8 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 103 | blk.8.attn_q.bias | Block 8 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 104 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 105 | blk.8.attn_v.bias | Block 8 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 106 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 107 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 108 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 109 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 110 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.8: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 9 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:--------|
| 111 | blk.9.attn_k.bias | Block 9 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 112 | blk.9.attn_k.weight | Block 9 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 113 | blk.9.attn_norm.weight | Block 9 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 114 | blk.9.attn_output.weight | Block 9 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 115 | blk.9.attn_q.bias | Block 9 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 116 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 117 | blk.9.attn_v.bias | Block 9 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 118 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 119 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 120 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 121 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 122 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.9: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 10 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 123 | blk.10.attn_k.bias | Block 10 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 124 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 125 | blk.10.attn_norm.weight | Block 10 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 126 | blk.10.attn_output.weight | Block 10 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 127 | blk.10.attn_q.bias | Block 10 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 128 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 129 | blk.10.attn_v.bias | Block 10 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 130 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 131 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 132 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 133 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 134 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.10: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 11 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 135 | blk.11.attn_k.bias | Block 11 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 136 | blk.11.attn_k.weight | Block 11 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 137 | blk.11.attn_norm.weight | Block 11 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 138 | blk.11.attn_output.weight | Block 11 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 139 | blk.11.attn_q.bias | Block 11 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 140 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 141 | blk.11.attn_v.bias | Block 11 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 142 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 143 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 144 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 145 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 146 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.11: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 12 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 147 | blk.12.attn_k.bias | Block 12 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 148 | blk.12.attn_k.weight | Block 12 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 149 | blk.12.attn_norm.weight | Block 12 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 150 | blk.12.attn_output.weight | Block 12 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 151 | blk.12.attn_q.bias | Block 12 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 152 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 153 | blk.12.attn_v.bias | Block 12 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 154 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 155 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 156 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 157 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 158 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.12: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 13 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 159 | blk.13.attn_k.bias | Block 13 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 160 | blk.13.attn_k.weight | Block 13 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_XXS |
| 161 | blk.13.attn_norm.weight | Block 13 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 162 | blk.13.attn_output.weight | Block 13 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 163 | blk.13.attn_q.bias | Block 13 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 164 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_XXS |
| 165 | blk.13.attn_v.bias | Block 13 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 166 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 167 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 168 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 169 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 170 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.13: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 14 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 171 | blk.14.attn_k.bias | Block 14 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 172 | blk.14.attn_k.weight | Block 14 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 173 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 174 | blk.14.attn_output.weight | Block 14 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 175 | blk.14.attn_q.bias | Block 14 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 176 | blk.14.attn_q.weight | Block 14 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 177 | blk.14.attn_v.bias | Block 14 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 178 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 179 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 180 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 181 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 182 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.14: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 15 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 183 | blk.15.attn_k.bias | Block 15 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 184 | blk.15.attn_k.weight | Block 15 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 185 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 186 | blk.15.attn_output.weight | Block 15 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 187 | blk.15.attn_q.bias | Block 15 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 188 | blk.15.attn_q.weight | Block 15 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 189 | blk.15.attn_v.bias | Block 15 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 190 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 191 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 192 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 193 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 194 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.15: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 16 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 195 | blk.16.attn_k.bias | Block 16 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 196 | blk.16.attn_k.weight | Block 16 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 197 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 198 | blk.16.attn_output.weight | Block 16 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 199 | blk.16.attn_q.bias | Block 16 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 200 | blk.16.attn_q.weight | Block 16 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 201 | blk.16.attn_v.bias | Block 16 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 202 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 203 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 204 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 205 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 206 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.16: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 17 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 207 | blk.17.attn_k.bias | Block 17 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 208 | blk.17.attn_k.weight | Block 17 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 209 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 210 | blk.17.attn_output.weight | Block 17 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 211 | blk.17.attn_q.bias | Block 17 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 212 | blk.17.attn_q.weight | Block 17 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 213 | blk.17.attn_v.bias | Block 17 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 214 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 215 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ3_S |
| 216 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 217 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 218 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.17: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 18 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 219 | blk.18.attn_k.bias | Block 18 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 220 | blk.18.attn_k.weight | Block 18 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 221 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 222 | blk.18.attn_output.weight | Block 18 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 223 | blk.18.attn_q.bias | Block 18 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 224 | blk.18.attn_q.weight | Block 18 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 225 | blk.18.attn_v.bias | Block 18 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 226 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 227 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 228 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 229 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 230 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.18: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 19 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:--------|
| 231 | blk.19.attn_k.bias | Block 19 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 232 | blk.19.attn_k.weight | Block 19 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 233 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 234 | blk.19.attn_output.weight | Block 19 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 235 | blk.19.attn_q.bias | Block 19 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 236 | blk.19.attn_q.weight | Block 19 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 237 | blk.19.attn_v.bias | Block 19 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 238 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 239 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 240 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
| 241 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 242 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_XXS |
- Total elements in blk.19: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 20 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-------|
| 243 | blk.20.attn_k.bias | Block 20 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 244 | blk.20.attn_k.weight | Block 20 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 245 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 246 | blk.20.attn_output.weight | Block 20 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 247 | blk.20.attn_q.bias | Block 20 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 248 | blk.20.attn_q.weight | Block 20 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 249 | blk.20.attn_v.bias | Block 20 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 250 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 251 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 252 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 253 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 254 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.20: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 21 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-------|
| 255 | blk.21.attn_k.bias | Block 21 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 256 | blk.21.attn_k.weight | Block 21 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 257 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 258 | blk.21.attn_output.weight | Block 21 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 259 | blk.21.attn_q.bias | Block 21 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 260 | blk.21.attn_q.weight | Block 21 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 261 | blk.21.attn_v.bias | Block 21 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 262 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 263 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 264 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 265 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 266 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.21: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 22 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-------|
| 267 | blk.22.attn_k.bias | Block 22 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 268 | blk.22.attn_k.weight | Block 22 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 269 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 270 | blk.22.attn_output.weight | Block 22 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 271 | blk.22.attn_q.bias | Block 22 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 272 | blk.22.attn_q.weight | Block 22 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 273 | blk.22.attn_v.bias | Block 22 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 274 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 275 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 276 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 277 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 278 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.22: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 23 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-------|
| 279 | blk.23.attn_k.bias | Block 23 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 280 | blk.23.attn_k.weight | Block 23 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 281 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 282 | blk.23.attn_output.weight | Block 23 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 283 | blk.23.attn_q.bias | Block 23 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 284 | blk.23.attn_q.weight | Block 23 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 285 | blk.23.attn_v.bias | Block 23 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 286 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 287 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 288 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 289 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 290 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.23: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 24 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-------|
| 291 | blk.24.attn_k.bias | Block 24 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 292 | blk.24.attn_k.weight | Block 24 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 293 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 294 | blk.24.attn_output.weight | Block 24 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 295 | blk.24.attn_q.bias | Block 24 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 296 | blk.24.attn_q.weight | Block 24 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 297 | blk.24.attn_v.bias | Block 24 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 298 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 299 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 300 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 301 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 302 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.24: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 25 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-------|
| 303 | blk.25.attn_k.bias | Block 25 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 304 | blk.25.attn_k.weight | Block 25 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 305 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 306 | blk.25.attn_output.weight | Block 25 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 307 | blk.25.attn_q.bias | Block 25 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 308 | blk.25.attn_q.weight | Block 25 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 309 | blk.25.attn_v.bias | Block 25 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 310 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 311 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 312 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 313 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 314 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.25: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 26 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-------|
| 315 | blk.26.attn_k.bias | Block 26 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 316 | blk.26.attn_k.weight | Block 26 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 317 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 318 | blk.26.attn_output.weight | Block 26 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 319 | blk.26.attn_q.bias | Block 26 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 320 | blk.26.attn_q.weight | Block 26 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 321 | blk.26.attn_v.bias | Block 26 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 322 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 323 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 324 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 325 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 326 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.26: (~233M) 233057792
- Percentage of total elements: 3.06%
### Block 27 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-------|
| 327 | blk.27.attn_k.bias | Block 27 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 328 | blk.27.attn_k.weight | Block 27 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 329 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 330 | blk.27.attn_output.weight | Block 27 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 331 | blk.27.attn_q.bias | Block 27 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 332 | blk.27.attn_q.weight | Block 27 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 333 | blk.27.attn_v.bias | Block 27 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 334 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 335 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | IQ4_NL |
| 336 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 337 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 338 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.27: (~233M) 233057792
- Percentage of total elements: 3.06%