90 KiB
90 KiB
Hammer2.1-7b-Q3_K_M.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 ...`{- '< |
| 31 | UINT32 | 1 | general.quantization_version | 2 |
| 32 | UINT32 | 1 | general.file_type | 12 |
| 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-Q3_K_M.gguf - GGUF Internal File Dump
- Key Value Metadata Store
- Tensors Overview ~8B Elements
- Tensor Data Offset
- Base Tensor Group : ~1B Elements
- Block 0 Tensor Group : ~233M Elements
- Block 1 Tensor Group : ~233M Elements
- Block 2 Tensor Group : ~233M Elements
- Block 3 Tensor Group : ~233M Elements
- Block 4 Tensor Group : ~233M Elements
- Block 5 Tensor Group : ~233M Elements
- Block 6 Tensor Group : ~233M Elements
- Block 7 Tensor Group : ~233M Elements
- Block 8 Tensor Group : ~233M Elements
- Block 9 Tensor Group : ~233M Elements
- Block 10 Tensor Group : ~233M Elements
- Block 11 Tensor Group : ~233M Elements
- Block 12 Tensor Group : ~233M Elements
- Block 13 Tensor Group : ~233M Elements
- Block 14 Tensor Group : ~233M Elements
- Block 15 Tensor Group : ~233M Elements
- Block 16 Tensor Group : ~233M Elements
- Block 17 Tensor Group : ~233M Elements
- Block 18 Tensor Group : ~233M Elements
- Block 19 Tensor Group : ~233M Elements
- Block 20 Tensor Group : ~233M Elements
- Block 21 Tensor Group : ~233M Elements
- Block 22 Tensor Group : ~233M Elements
- Block 23 Tensor Group : ~233M Elements
- Block 24 Tensor Group : ~233M Elements
- Block 25 Tensor Group : ~233M Elements
- Block 26 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 | 0xdebe7c4 |
| 1 | output_norm.weight | 0xe469ca0 | 0x3800 |
| 2 | token_embd.weight | 0xe46d4a0 | 0xdebe7c4 |
| 3 | blk.0.attn_k.bias | 0x1c32bc80 | 0x800 |
| 4 | blk.0.attn_k.weight | 0x1c32c480 | 0x93000 |
| 5 | blk.0.attn_norm.weight | 0x1c3bf480 | 0x3800 |
| 6 | blk.0.attn_output.weight | 0x1c3c2c80 | 0x6e4000 |
| 7 | blk.0.attn_q.bias | 0x1caa6c80 | 0x3800 |
| 8 | blk.0.attn_q.weight | 0x1caaa480 | 0x405000 |
| 9 | blk.0.attn_v.bias | 0x1ceaf480 | 0x800 |
| 10 | blk.0.attn_v.weight | 0x1ceafc80 | 0xc0800 |
| 11 | blk.0.ffn_down.weight | 0x1cf70480 | 0x246c000 |
| 12 | blk.0.ffn_gate.weight | 0x1f3dc480 | 0x153f000 |
| 13 | blk.0.ffn_norm.weight | 0x2091b480 | 0x3800 |
| 14 | blk.0.ffn_up.weight | 0x2091ec80 | 0x153f000 |
| 15 | blk.1.attn_k.bias | 0x21e5dc80 | 0x800 |
| 16 | blk.1.attn_k.weight | 0x21e5e480 | 0x93000 |
| 17 | blk.1.attn_norm.weight | 0x21ef1480 | 0x3800 |
| 18 | blk.1.attn_output.weight | 0x21ef4c80 | 0x6e4000 |
| 19 | blk.1.attn_q.bias | 0x225d8c80 | 0x3800 |
| 20 | blk.1.attn_q.weight | 0x225dc480 | 0x405000 |
| 21 | blk.1.attn_v.bias | 0x229e1480 | 0x800 |
| 22 | blk.1.attn_v.weight | 0x229e1c80 | 0xc0800 |
| 23 | blk.1.ffn_down.weight | 0x22aa2480 | 0x246c000 |
| 24 | blk.1.ffn_gate.weight | 0x24f0e480 | 0x1bd2800 |
| 25 | blk.1.ffn_norm.weight | 0x26ae0c80 | 0x3800 |
| 26 | blk.1.ffn_up.weight | 0x26ae4480 | 0x1bd2800 |
| 27 | blk.2.attn_k.bias | 0x286b6c80 | 0x800 |
| 28 | blk.2.attn_k.weight | 0x286b7480 | 0x93000 |
| 29 | blk.2.attn_norm.weight | 0x2874a480 | 0x3800 |
| 30 | blk.2.attn_output.weight | 0x2874dc80 | 0x6e4000 |
| 31 | blk.2.attn_q.bias | 0x28e31c80 | 0x3800 |
| 32 | blk.2.attn_q.weight | 0x28e35480 | 0x405000 |
| 33 | blk.2.attn_v.bias | 0x2923a480 | 0x800 |
| 34 | blk.2.attn_v.weight | 0x2923ac80 | 0xc0800 |
| 35 | blk.2.ffn_down.weight | 0x292fb480 | 0x246c000 |
| 36 | blk.2.ffn_gate.weight | 0x2b767480 | 0x1bd2800 |
| 37 | blk.2.ffn_norm.weight | 0x2d339c80 | 0x3800 |
| 38 | blk.2.ffn_up.weight | 0x2d33d480 | 0x1bd2800 |
| 39 | blk.3.attn_k.bias | 0x2ef0fc80 | 0x800 |
| 40 | blk.3.attn_k.weight | 0x2ef10480 | 0x93000 |
| 41 | blk.3.attn_norm.weight | 0x2efa3480 | 0x3800 |
| 42 | blk.3.attn_output.weight | 0x2efa6c80 | 0x6e4000 |
| 43 | blk.3.attn_q.bias | 0x2f68ac80 | 0x3800 |
| 44 | blk.3.attn_q.weight | 0x2f68e480 | 0x405000 |
| 45 | blk.3.attn_v.bias | 0x2fa93480 | 0x800 |
| 46 | blk.3.attn_v.weight | 0x2fa93c80 | 0xc0800 |
| 47 | blk.3.ffn_down.weight | 0x2fb54480 | 0x246c000 |
| 48 | blk.3.ffn_gate.weight | 0x31fc0480 | 0x1bd2800 |
| 49 | blk.3.ffn_norm.weight | 0x33b92c80 | 0x3800 |
| 50 | blk.3.ffn_up.weight | 0x33b96480 | 0x1bd2800 |
| 51 | blk.4.attn_k.bias | 0x35768c80 | 0x800 |
| 52 | blk.4.attn_k.weight | 0x35769480 | 0x93000 |
| 53 | blk.4.attn_norm.weight | 0x357fc480 | 0x3800 |
| 54 | blk.4.attn_output.weight | 0x357ffc80 | 0x6e4000 |
| 55 | blk.4.attn_q.bias | 0x35ee3c80 | 0x3800 |
| 56 | blk.4.attn_q.weight | 0x35ee7480 | 0x405000 |
| 57 | blk.4.attn_v.bias | 0x362ec480 | 0x800 |
| 58 | blk.4.attn_v.weight | 0x362ecc80 | 0xc0800 |
| 59 | blk.4.ffn_down.weight | 0x363ad480 | 0x246c000 |
| 60 | blk.4.ffn_gate.weight | 0x38819480 | 0x1bd2800 |
| 61 | blk.4.ffn_norm.weight | 0x3a3ebc80 | 0x3800 |
| 62 | blk.4.ffn_up.weight | 0x3a3ef480 | 0x1bd2800 |
| 63 | blk.5.attn_k.bias | 0x3bfc1c80 | 0x800 |
| 64 | blk.5.attn_k.weight | 0x3bfc2480 | 0x93000 |
| 65 | blk.5.attn_norm.weight | 0x3c055480 | 0x3800 |
| 66 | blk.5.attn_output.weight | 0x3c058c80 | 0x6e4000 |
| 67 | blk.5.attn_q.bias | 0x3c73cc80 | 0x3800 |
| 68 | blk.5.attn_q.weight | 0x3c740480 | 0x405000 |
| 69 | blk.5.attn_v.bias | 0x3cb45480 | 0x800 |
| 70 | blk.5.attn_v.weight | 0x3cb45c80 | 0xc0800 |
| 71 | blk.5.ffn_down.weight | 0x3cc06480 | 0x246c000 |
| 72 | blk.5.ffn_gate.weight | 0x3f072480 | 0x1bd2800 |
| 73 | blk.5.ffn_norm.weight | 0x40c44c80 | 0x3800 |
| 74 | blk.5.ffn_up.weight | 0x40c48480 | 0x1bd2800 |
| 75 | blk.6.attn_k.bias | 0x4281ac80 | 0x800 |
| 76 | blk.6.attn_k.weight | 0x4281b480 | 0x93000 |
| 77 | blk.6.attn_norm.weight | 0x428ae480 | 0x3800 |
| 78 | blk.6.attn_output.weight | 0x428b1c80 | 0x6e4000 |
| 79 | blk.6.attn_q.bias | 0x42f95c80 | 0x3800 |
| 80 | blk.6.attn_q.weight | 0x42f99480 | 0x405000 |
| 81 | blk.6.attn_v.bias | 0x4339e480 | 0x800 |
| 82 | blk.6.attn_v.weight | 0x4339ec80 | 0xc0800 |
| 83 | blk.6.ffn_down.weight | 0x4345f480 | 0x246c000 |
| 84 | blk.6.ffn_gate.weight | 0x458cb480 | 0x153f000 |
| 85 | blk.6.ffn_norm.weight | 0x46e0a480 | 0x3800 |
| 86 | blk.6.ffn_up.weight | 0x46e0dc80 | 0x153f000 |
| 87 | blk.7.attn_k.bias | 0x4834cc80 | 0x800 |
| 88 | blk.7.attn_k.weight | 0x4834d480 | 0x93000 |
| 89 | blk.7.attn_norm.weight | 0x483e0480 | 0x3800 |
| 90 | blk.7.attn_output.weight | 0x483e3c80 | 0x6e4000 |
| 91 | blk.7.attn_q.bias | 0x48ac7c80 | 0x3800 |
| 92 | blk.7.attn_q.weight | 0x48acb480 | 0x405000 |
| 93 | blk.7.attn_v.bias | 0x48ed0480 | 0x800 |
| 94 | blk.7.attn_v.weight | 0x48ed0c80 | 0xc0800 |
| 95 | blk.7.ffn_down.weight | 0x48f91480 | 0x246c000 |
| 96 | blk.7.ffn_gate.weight | 0x4b3fd480 | 0x153f000 |
| 97 | blk.7.ffn_norm.weight | 0x4c93c480 | 0x3800 |
| 98 | blk.7.ffn_up.weight | 0x4c93fc80 | 0x153f000 |
| 99 | blk.8.attn_k.bias | 0x4de7ec80 | 0x800 |
| 100 | blk.8.attn_k.weight | 0x4de7f480 | 0x93000 |
| 101 | blk.8.attn_norm.weight | 0x4df12480 | 0x3800 |
| 102 | blk.8.attn_output.weight | 0x4df15c80 | 0x6e4000 |
| 103 | blk.8.attn_q.bias | 0x4e5f9c80 | 0x3800 |
| 104 | blk.8.attn_q.weight | 0x4e5fd480 | 0x405000 |
| 105 | blk.8.attn_v.bias | 0x4ea02480 | 0x800 |
| 106 | blk.8.attn_v.weight | 0x4ea02c80 | 0xc0800 |
| 107 | blk.8.ffn_down.weight | 0x4eac3480 | 0x246c000 |
| 108 | blk.8.ffn_gate.weight | 0x50f2f480 | 0x153f000 |
| 109 | blk.8.ffn_norm.weight | 0x5246e480 | 0x3800 |
| 110 | blk.8.ffn_up.weight | 0x52471c80 | 0x153f000 |
| 111 | blk.9.attn_k.bias | 0x539b0c80 | 0x800 |
| 112 | blk.9.attn_k.weight | 0x539b1480 | 0x93000 |
| 113 | blk.9.attn_norm.weight | 0x53a44480 | 0x3800 |
| 114 | blk.9.attn_output.weight | 0x53a47c80 | 0x6e4000 |
| 115 | blk.9.attn_q.bias | 0x5412bc80 | 0x3800 |
| 116 | blk.9.attn_q.weight | 0x5412f480 | 0x405000 |
| 117 | blk.9.attn_v.bias | 0x54534480 | 0x800 |
| 118 | blk.9.attn_v.weight | 0x54534c80 | 0xc0800 |
| 119 | blk.9.ffn_down.weight | 0x545f5480 | 0x246c000 |
| 120 | blk.9.ffn_gate.weight | 0x56a61480 | 0x1bd2800 |
| 121 | blk.9.ffn_norm.weight | 0x58633c80 | 0x3800 |
| 122 | blk.9.ffn_up.weight | 0x58637480 | 0x1bd2800 |
| 123 | blk.10.attn_k.bias | 0x5a209c80 | 0x800 |
| 124 | blk.10.attn_k.weight | 0x5a20a480 | 0x93000 |
| 125 | blk.10.attn_norm.weight | 0x5a29d480 | 0x3800 |
| 126 | blk.10.attn_output.weight | 0x5a2a0c80 | 0x6e4000 |
| 127 | blk.10.attn_q.bias | 0x5a984c80 | 0x3800 |
| 128 | blk.10.attn_q.weight | 0x5a988480 | 0x405000 |
| 129 | blk.10.attn_v.bias | 0x5ad8d480 | 0x800 |
| 130 | blk.10.attn_v.weight | 0x5ad8dc80 | 0xc0800 |
| 131 | blk.10.ffn_down.weight | 0x5ae4e480 | 0x246c000 |
| 132 | blk.10.ffn_gate.weight | 0x5d2ba480 | 0x153f000 |
| 133 | blk.10.ffn_norm.weight | 0x5e7f9480 | 0x3800 |
| 134 | blk.10.ffn_up.weight | 0x5e7fcc80 | 0x153f000 |
| 135 | blk.11.attn_k.bias | 0x5fd3bc80 | 0x800 |
| 136 | blk.11.attn_k.weight | 0x5fd3c480 | 0x93000 |
| 137 | blk.11.attn_norm.weight | 0x5fdcf480 | 0x3800 |
| 138 | blk.11.attn_output.weight | 0x5fdd2c80 | 0x6e4000 |
| 139 | blk.11.attn_q.bias | 0x604b6c80 | 0x3800 |
| 140 | blk.11.attn_q.weight | 0x604ba480 | 0x405000 |
| 141 | blk.11.attn_v.bias | 0x608bf480 | 0x800 |
| 142 | blk.11.attn_v.weight | 0x608bfc80 | 0xc0800 |
| 143 | blk.11.ffn_down.weight | 0x60980480 | 0x246c000 |
| 144 | blk.11.ffn_gate.weight | 0x62dec480 | 0x153f000 |
| 145 | blk.11.ffn_norm.weight | 0x6432b480 | 0x3800 |
| 146 | blk.11.ffn_up.weight | 0x6432ec80 | 0x153f000 |
| 147 | blk.12.attn_k.bias | 0x6586dc80 | 0x800 |
| 148 | blk.12.attn_k.weight | 0x6586e480 | 0x93000 |
| 149 | blk.12.attn_norm.weight | 0x65901480 | 0x3800 |
| 150 | blk.12.attn_output.weight | 0x65904c80 | 0x6e4000 |
| 151 | blk.12.attn_q.bias | 0x65fe8c80 | 0x3800 |
| 152 | blk.12.attn_q.weight | 0x65fec480 | 0x405000 |
| 153 | blk.12.attn_v.bias | 0x663f1480 | 0x800 |
| 154 | blk.12.attn_v.weight | 0x663f1c80 | 0xc0800 |
| 155 | blk.12.ffn_down.weight | 0x664b2480 | 0x246c000 |
| 156 | blk.12.ffn_gate.weight | 0x6891e480 | 0x153f000 |
| 157 | blk.12.ffn_norm.weight | 0x69e5d480 | 0x3800 |
| 158 | blk.12.ffn_up.weight | 0x69e60c80 | 0x153f000 |
| 159 | blk.13.attn_k.bias | 0x6b39fc80 | 0x800 |
| 160 | blk.13.attn_k.weight | 0x6b3a0480 | 0x93000 |
| 161 | blk.13.attn_norm.weight | 0x6b433480 | 0x3800 |
| 162 | blk.13.attn_output.weight | 0x6b436c80 | 0x6e4000 |
| 163 | blk.13.attn_q.bias | 0x6bb1ac80 | 0x3800 |
| 164 | blk.13.attn_q.weight | 0x6bb1e480 | 0x405000 |
| 165 | blk.13.attn_v.bias | 0x6bf23480 | 0x800 |
| 166 | blk.13.attn_v.weight | 0x6bf23c80 | 0xc0800 |
| 167 | blk.13.ffn_down.weight | 0x6bfe4480 | 0x246c000 |
| 168 | blk.13.ffn_gate.weight | 0x6e450480 | 0x153f000 |
| 169 | blk.13.ffn_norm.weight | 0x6f98f480 | 0x3800 |
| 170 | blk.13.ffn_up.weight | 0x6f992c80 | 0x153f000 |
| 171 | blk.14.attn_k.bias | 0x70ed1c80 | 0x800 |
| 172 | blk.14.attn_k.weight | 0x70ed2480 | 0xc0800 |
| 173 | blk.14.attn_norm.weight | 0x70f92c80 | 0x3800 |
| 174 | blk.14.attn_output.weight | 0x70f96480 | 0x6e4000 |
| 175 | blk.14.attn_q.bias | 0x7167a480 | 0x3800 |
| 176 | blk.14.attn_q.weight | 0x7167dc80 | 0x543800 |
| 177 | blk.14.attn_v.bias | 0x71bc1480 | 0x800 |
| 178 | blk.14.attn_v.weight | 0x71bc1c80 | 0xfc000 |
| 179 | blk.14.ffn_down.weight | 0x71cbdc80 | 0x246c000 |
| 180 | blk.14.ffn_gate.weight | 0x74129c80 | 0x153f000 |
| 181 | blk.14.ffn_norm.weight | 0x75668c80 | 0x3800 |
| 182 | blk.14.ffn_up.weight | 0x7566c480 | 0x153f000 |
| 183 | blk.15.attn_k.bias | 0x76bab480 | 0x800 |
| 184 | blk.15.attn_k.weight | 0x76babc80 | 0xc0800 |
| 185 | blk.15.attn_norm.weight | 0x76c6c480 | 0x3800 |
| 186 | blk.15.attn_output.weight | 0x76c6fc80 | 0x6e4000 |
| 187 | blk.15.attn_q.bias | 0x77353c80 | 0x3800 |
| 188 | blk.15.attn_q.weight | 0x77357480 | 0x543800 |
| 189 | blk.15.attn_v.bias | 0x7789ac80 | 0x800 |
| 190 | blk.15.attn_v.weight | 0x7789b480 | 0xfc000 |
| 191 | blk.15.ffn_down.weight | 0x77997480 | 0x246c000 |
| 192 | blk.15.ffn_gate.weight | 0x79e03480 | 0x153f000 |
| 193 | blk.15.ffn_norm.weight | 0x7b342480 | 0x3800 |
| 194 | blk.15.ffn_up.weight | 0x7b345c80 | 0x153f000 |
| 195 | blk.16.attn_k.bias | 0x7c884c80 | 0x800 |
| 196 | blk.16.attn_k.weight | 0x7c885480 | 0xc0800 |
| 197 | blk.16.attn_norm.weight | 0x7c945c80 | 0x3800 |
| 198 | blk.16.attn_output.weight | 0x7c949480 | 0x6e4000 |
| 199 | blk.16.attn_q.bias | 0x7d02d480 | 0x3800 |
| 200 | blk.16.attn_q.weight | 0x7d030c80 | 0x543800 |
| 201 | blk.16.attn_v.bias | 0x7d574480 | 0x800 |
| 202 | blk.16.attn_v.weight | 0x7d574c80 | 0xfc000 |
| 203 | blk.16.ffn_down.weight | 0x7d670c80 | 0x246c000 |
| 204 | blk.16.ffn_gate.weight | 0x7fadcc80 | 0x153f000 |
| 205 | blk.16.ffn_norm.weight | 0x8101bc80 | 0x3800 |
| 206 | blk.16.ffn_up.weight | 0x8101f480 | 0x153f000 |
| 207 | blk.17.attn_k.bias | 0x8255e480 | 0x800 |
| 208 | blk.17.attn_k.weight | 0x8255ec80 | 0xc0800 |
| 209 | blk.17.attn_norm.weight | 0x8261f480 | 0x3800 |
| 210 | blk.17.attn_output.weight | 0x82622c80 | 0x6e4000 |
| 211 | blk.17.attn_q.bias | 0x82d06c80 | 0x3800 |
| 212 | blk.17.attn_q.weight | 0x82d0a480 | 0x543800 |
| 213 | blk.17.attn_v.bias | 0x8324dc80 | 0x800 |
| 214 | blk.17.attn_v.weight | 0x8324e480 | 0xfc000 |
| 215 | blk.17.ffn_down.weight | 0x8334a480 | 0x246c000 |
| 216 | blk.17.ffn_gate.weight | 0x857b6480 | 0x153f000 |
| 217 | blk.17.ffn_norm.weight | 0x86cf5480 | 0x3800 |
| 218 | blk.17.ffn_up.weight | 0x86cf8c80 | 0x153f000 |
| 219 | blk.18.attn_k.bias | 0x88237c80 | 0x800 |
| 220 | blk.18.attn_k.weight | 0x88238480 | 0xc0800 |
| 221 | blk.18.attn_norm.weight | 0x882f8c80 | 0x3800 |
| 222 | blk.18.attn_output.weight | 0x882fc480 | 0x6e4000 |
| 223 | blk.18.attn_q.bias | 0x889e0480 | 0x3800 |
| 224 | blk.18.attn_q.weight | 0x889e3c80 | 0x543800 |
| 225 | blk.18.attn_v.bias | 0x88f27480 | 0x800 |
| 226 | blk.18.attn_v.weight | 0x88f27c80 | 0xfc000 |
| 227 | blk.18.ffn_down.weight | 0x89023c80 | 0x246c000 |
| 228 | blk.18.ffn_gate.weight | 0x8b48fc80 | 0x153f000 |
| 229 | blk.18.ffn_norm.weight | 0x8c9cec80 | 0x3800 |
| 230 | blk.18.ffn_up.weight | 0x8c9d2480 | 0x153f000 |
| 231 | blk.19.attn_k.bias | 0x8df11480 | 0x800 |
| 232 | blk.19.attn_k.weight | 0x8df11c80 | 0xc0800 |
| 233 | blk.19.attn_norm.weight | 0x8dfd2480 | 0x3800 |
| 234 | blk.19.attn_output.weight | 0x8dfd5c80 | 0x6e4000 |
| 235 | blk.19.attn_q.bias | 0x8e6b9c80 | 0x3800 |
| 236 | blk.19.attn_q.weight | 0x8e6bd480 | 0x543800 |
| 237 | blk.19.attn_v.bias | 0x8ec00c80 | 0x800 |
| 238 | blk.19.attn_v.weight | 0x8ec01480 | 0xfc000 |
| 239 | blk.19.ffn_down.weight | 0x8ecfd480 | 0x246c000 |
| 240 | blk.19.ffn_gate.weight | 0x91169480 | 0x153f000 |
| 241 | blk.19.ffn_norm.weight | 0x926a8480 | 0x3800 |
| 242 | blk.19.ffn_up.weight | 0x926abc80 | 0x153f000 |
| 243 | blk.20.attn_k.bias | 0x93beac80 | 0x800 |
| 244 | blk.20.attn_k.weight | 0x93beb480 | 0xc0800 |
| 245 | blk.20.attn_norm.weight | 0x93cabc80 | 0x3800 |
| 246 | blk.20.attn_output.weight | 0x93caf480 | 0x6e4000 |
| 247 | blk.20.attn_q.bias | 0x94393480 | 0x3800 |
| 248 | blk.20.attn_q.weight | 0x94396c80 | 0x543800 |
| 249 | blk.20.attn_v.bias | 0x948da480 | 0x800 |
| 250 | blk.20.attn_v.weight | 0x948dac80 | 0xfc000 |
| 251 | blk.20.ffn_down.weight | 0x949d6c80 | 0x246c000 |
| 252 | blk.20.ffn_gate.weight | 0x96e42c80 | 0x1bd2800 |
| 253 | blk.20.ffn_norm.weight | 0x98a15480 | 0x3800 |
| 254 | blk.20.ffn_up.weight | 0x98a18c80 | 0x1bd2800 |
| 255 | blk.21.attn_k.bias | 0x9a5eb480 | 0x800 |
| 256 | blk.21.attn_k.weight | 0x9a5ebc80 | 0xc0800 |
| 257 | blk.21.attn_norm.weight | 0x9a6ac480 | 0x3800 |
| 258 | blk.21.attn_output.weight | 0x9a6afc80 | 0x6e4000 |
| 259 | blk.21.attn_q.bias | 0x9ad93c80 | 0x3800 |
| 260 | blk.21.attn_q.weight | 0x9ad97480 | 0x543800 |
| 261 | blk.21.attn_v.bias | 0x9b2dac80 | 0x800 |
| 262 | blk.21.attn_v.weight | 0x9b2db480 | 0xfc000 |
| 263 | blk.21.ffn_down.weight | 0x9b3d7480 | 0x246c000 |
| 264 | blk.21.ffn_gate.weight | 0x9d843480 | 0x1bd2800 |
| 265 | blk.21.ffn_norm.weight | 0x9f415c80 | 0x3800 |
| 266 | blk.21.ffn_up.weight | 0x9f419480 | 0x1bd2800 |
| 267 | blk.22.attn_k.bias | 0xa0febc80 | 0x800 |
| 268 | blk.22.attn_k.weight | 0xa0fec480 | 0xc0800 |
| 269 | blk.22.attn_norm.weight | 0xa10acc80 | 0x3800 |
| 270 | blk.22.attn_output.weight | 0xa10b0480 | 0x6e4000 |
| 271 | blk.22.attn_q.bias | 0xa1794480 | 0x3800 |
| 272 | blk.22.attn_q.weight | 0xa1797c80 | 0x543800 |
| 273 | blk.22.attn_v.bias | 0xa1cdb480 | 0x800 |
| 274 | blk.22.attn_v.weight | 0xa1cdbc80 | 0xfc000 |
| 275 | blk.22.ffn_down.weight | 0xa1dd7c80 | 0x246c000 |
| 276 | blk.22.ffn_gate.weight | 0xa4243c80 | 0x1bd2800 |
| 277 | blk.22.ffn_norm.weight | 0xa5e16480 | 0x3800 |
| 278 | blk.22.ffn_up.weight | 0xa5e19c80 | 0x1bd2800 |
| 279 | blk.23.attn_k.bias | 0xa79ec480 | 0x800 |
| 280 | blk.23.attn_k.weight | 0xa79ecc80 | 0xc0800 |
| 281 | blk.23.attn_norm.weight | 0xa7aad480 | 0x3800 |
| 282 | blk.23.attn_output.weight | 0xa7ab0c80 | 0x6e4000 |
| 283 | blk.23.attn_q.bias | 0xa8194c80 | 0x3800 |
| 284 | blk.23.attn_q.weight | 0xa8198480 | 0x543800 |
| 285 | blk.23.attn_v.bias | 0xa86dbc80 | 0x800 |
| 286 | blk.23.attn_v.weight | 0xa86dc480 | 0xfc000 |
| 287 | blk.23.ffn_down.weight | 0xa87d8480 | 0x246c000 |
| 288 | blk.23.ffn_gate.weight | 0xaac44480 | 0x1bd2800 |
| 289 | blk.23.ffn_norm.weight | 0xac816c80 | 0x3800 |
| 290 | blk.23.ffn_up.weight | 0xac81a480 | 0x1bd2800 |
| 291 | blk.24.attn_k.bias | 0xae3ecc80 | 0x800 |
| 292 | blk.24.attn_k.weight | 0xae3ed480 | 0xc0800 |
| 293 | blk.24.attn_norm.weight | 0xae4adc80 | 0x3800 |
| 294 | blk.24.attn_output.weight | 0xae4b1480 | 0x6e4000 |
| 295 | blk.24.attn_q.bias | 0xaeb95480 | 0x3800 |
| 296 | blk.24.attn_q.weight | 0xaeb98c80 | 0x543800 |
| 297 | blk.24.attn_v.bias | 0xaf0dc480 | 0x800 |
| 298 | blk.24.attn_v.weight | 0xaf0dcc80 | 0xfc000 |
| 299 | blk.24.ffn_down.weight | 0xaf1d8c80 | 0x246c000 |
| 300 | blk.24.ffn_gate.weight | 0xb1644c80 | 0x1bd2800 |
| 301 | blk.24.ffn_norm.weight | 0xb3217480 | 0x3800 |
| 302 | blk.24.ffn_up.weight | 0xb321ac80 | 0x1bd2800 |
| 303 | blk.25.attn_k.bias | 0xb4ded480 | 0x800 |
| 304 | blk.25.attn_k.weight | 0xb4dedc80 | 0xc0800 |
| 305 | blk.25.attn_norm.weight | 0xb4eae480 | 0x3800 |
| 306 | blk.25.attn_output.weight | 0xb4eb1c80 | 0x6e4000 |
| 307 | blk.25.attn_q.bias | 0xb5595c80 | 0x3800 |
| 308 | blk.25.attn_q.weight | 0xb5599480 | 0x543800 |
| 309 | blk.25.attn_v.bias | 0xb5adcc80 | 0x800 |
| 310 | blk.25.attn_v.weight | 0xb5add480 | 0xfc000 |
| 311 | blk.25.ffn_down.weight | 0xb5bd9480 | 0x246c000 |
| 312 | blk.25.ffn_gate.weight | 0xb8045480 | 0x1bd2800 |
| 313 | blk.25.ffn_norm.weight | 0xb9c17c80 | 0x3800 |
| 314 | blk.25.ffn_up.weight | 0xb9c1b480 | 0x1bd2800 |
| 315 | blk.26.attn_k.bias | 0xbb7edc80 | 0x800 |
| 316 | blk.26.attn_k.weight | 0xbb7ee480 | 0xc0800 |
| 317 | blk.26.attn_norm.weight | 0xbb8aec80 | 0x3800 |
| 318 | blk.26.attn_output.weight | 0xbb8b2480 | 0x6e4000 |
| 319 | blk.26.attn_q.bias | 0xbbf96480 | 0x3800 |
| 320 | blk.26.attn_q.weight | 0xbbf99c80 | 0x543800 |
| 321 | blk.26.attn_v.bias | 0xbc4dd480 | 0x800 |
| 322 | blk.26.attn_v.weight | 0xbc4ddc80 | 0xfc000 |
| 323 | blk.26.ffn_down.weight | 0xbc5d9c80 | 0x246c000 |
| 324 | blk.26.ffn_gate.weight | 0xbea45c80 | 0x1bd2800 |
| 325 | blk.26.ffn_norm.weight | 0xc0618480 | 0x3800 |
| 326 | blk.26.ffn_up.weight | 0xc061bc80 | 0x1bd2800 |
| 327 | blk.27.attn_k.bias | 0xc21ee480 | 0x800 |
| 328 | blk.27.attn_k.weight | 0xc21eec80 | 0xc0800 |
| 329 | blk.27.attn_norm.weight | 0xc22af480 | 0x3800 |
| 330 | blk.27.attn_output.weight | 0xc22b2c80 | 0x6e4000 |
| 331 | blk.27.attn_q.bias | 0xc2996c80 | 0x3800 |
| 332 | blk.27.attn_q.weight | 0xc299a480 | 0x543800 |
| 333 | blk.27.attn_v.bias | 0xc2eddc80 | 0x800 |
| 334 | blk.27.attn_v.weight | 0xc2ede480 | 0xfc000 |
| 335 | blk.27.ffn_down.weight | 0xc2fda480 | 0x246c000 |
| 336 | blk.27.ffn_gate.weight | 0xc5446480 | 0x1bd2800 |
| 337 | blk.27.ffn_norm.weight | 0xc7018c80 | 0x3800 |
| 338 | blk.27.ffn_up.weight | 0xc701c480 | 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 | Q3_K |
| 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 | Q3_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 11 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 12 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 23 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 24 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 35 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 36 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 47 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 48 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 59 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 60 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 71 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 72 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 83 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 84 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 95 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 96 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 107 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 108 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 119 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 120 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 131 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 132 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 143 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 144 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 155 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 156 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q2_K |
| 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 | Q4_K |
| 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 | Q2_K |
| 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 | Q3_K |
| 167 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 168 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 179 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 180 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 191 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 192 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 203 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 204 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 215 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 216 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 227 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 228 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 239 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 240 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q2_K |
| 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 | Q2_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 251 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 252 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 263 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 264 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 275 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 276 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 287 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 288 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 299 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 300 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 311 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 312 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 323 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 324 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- 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 | Q3_K |
| 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 | Q4_K |
| 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 | Q3_K |
| 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 | Q4_K |
| 335 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q4_K |
| 336 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q3_K |
| 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 | Q3_K |
- Total elements in blk.27: (~233M) 233057792
- Percentage of total elements: 3.06%