90 KiB
90 KiB
Hammer2.1-7b-Q3_K_L.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 | 13 |
| 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_L.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 | 0x86c000 |
| 7 | blk.0.attn_q.bias | 0x1cc2ec80 | 0x3800 |
| 8 | blk.0.attn_q.weight | 0x1cc32480 | 0x405000 |
| 9 | blk.0.attn_v.bias | 0x1d037480 | 0x800 |
| 10 | blk.0.attn_v.weight | 0x1d037c80 | 0xfc000 |
| 11 | blk.0.ffn_down.weight | 0x1d133c80 | 0x246c000 |
| 12 | blk.0.ffn_gate.weight | 0x1f59fc80 | 0x153f000 |
| 13 | blk.0.ffn_norm.weight | 0x20adec80 | 0x3800 |
| 14 | blk.0.ffn_up.weight | 0x20ae2480 | 0x153f000 |
| 15 | blk.1.attn_k.bias | 0x22021480 | 0x800 |
| 16 | blk.1.attn_k.weight | 0x22021c80 | 0x93000 |
| 17 | blk.1.attn_norm.weight | 0x220b4c80 | 0x3800 |
| 18 | blk.1.attn_output.weight | 0x220b8480 | 0x86c000 |
| 19 | blk.1.attn_q.bias | 0x22924480 | 0x3800 |
| 20 | blk.1.attn_q.weight | 0x22927c80 | 0x405000 |
| 21 | blk.1.attn_v.bias | 0x22d2cc80 | 0x800 |
| 22 | blk.1.attn_v.weight | 0x22d2d480 | 0xfc000 |
| 23 | blk.1.ffn_down.weight | 0x22e29480 | 0x246c000 |
| 24 | blk.1.ffn_gate.weight | 0x25295480 | 0x1bd2800 |
| 25 | blk.1.ffn_norm.weight | 0x26e67c80 | 0x3800 |
| 26 | blk.1.ffn_up.weight | 0x26e6b480 | 0x1bd2800 |
| 27 | blk.2.attn_k.bias | 0x28a3dc80 | 0x800 |
| 28 | blk.2.attn_k.weight | 0x28a3e480 | 0x93000 |
| 29 | blk.2.attn_norm.weight | 0x28ad1480 | 0x3800 |
| 30 | blk.2.attn_output.weight | 0x28ad4c80 | 0x86c000 |
| 31 | blk.2.attn_q.bias | 0x29340c80 | 0x3800 |
| 32 | blk.2.attn_q.weight | 0x29344480 | 0x405000 |
| 33 | blk.2.attn_v.bias | 0x29749480 | 0x800 |
| 34 | blk.2.attn_v.weight | 0x29749c80 | 0xfc000 |
| 35 | blk.2.ffn_down.weight | 0x29845c80 | 0x246c000 |
| 36 | blk.2.ffn_gate.weight | 0x2bcb1c80 | 0x1bd2800 |
| 37 | blk.2.ffn_norm.weight | 0x2d884480 | 0x3800 |
| 38 | blk.2.ffn_up.weight | 0x2d887c80 | 0x1bd2800 |
| 39 | blk.3.attn_k.bias | 0x2f45a480 | 0x800 |
| 40 | blk.3.attn_k.weight | 0x2f45ac80 | 0x93000 |
| 41 | blk.3.attn_norm.weight | 0x2f4edc80 | 0x3800 |
| 42 | blk.3.attn_output.weight | 0x2f4f1480 | 0x86c000 |
| 43 | blk.3.attn_q.bias | 0x2fd5d480 | 0x3800 |
| 44 | blk.3.attn_q.weight | 0x2fd60c80 | 0x405000 |
| 45 | blk.3.attn_v.bias | 0x30165c80 | 0x800 |
| 46 | blk.3.attn_v.weight | 0x30166480 | 0xfc000 |
| 47 | blk.3.ffn_down.weight | 0x30262480 | 0x2c84000 |
| 48 | blk.3.ffn_gate.weight | 0x32ee6480 | 0x1bd2800 |
| 49 | blk.3.ffn_norm.weight | 0x34ab8c80 | 0x3800 |
| 50 | blk.3.ffn_up.weight | 0x34abc480 | 0x1bd2800 |
| 51 | blk.4.attn_k.bias | 0x3668ec80 | 0x800 |
| 52 | blk.4.attn_k.weight | 0x3668f480 | 0x93000 |
| 53 | blk.4.attn_norm.weight | 0x36722480 | 0x3800 |
| 54 | blk.4.attn_output.weight | 0x36725c80 | 0x86c000 |
| 55 | blk.4.attn_q.bias | 0x36f91c80 | 0x3800 |
| 56 | blk.4.attn_q.weight | 0x36f95480 | 0x405000 |
| 57 | blk.4.attn_v.bias | 0x3739a480 | 0x800 |
| 58 | blk.4.attn_v.weight | 0x3739ac80 | 0xfc000 |
| 59 | blk.4.ffn_down.weight | 0x37496c80 | 0x246c000 |
| 60 | blk.4.ffn_gate.weight | 0x39902c80 | 0x1bd2800 |
| 61 | blk.4.ffn_norm.weight | 0x3b4d5480 | 0x3800 |
| 62 | blk.4.ffn_up.weight | 0x3b4d8c80 | 0x1bd2800 |
| 63 | blk.5.attn_k.bias | 0x3d0ab480 | 0x800 |
| 64 | blk.5.attn_k.weight | 0x3d0abc80 | 0x93000 |
| 65 | blk.5.attn_norm.weight | 0x3d13ec80 | 0x3800 |
| 66 | blk.5.attn_output.weight | 0x3d142480 | 0x86c000 |
| 67 | blk.5.attn_q.bias | 0x3d9ae480 | 0x3800 |
| 68 | blk.5.attn_q.weight | 0x3d9b1c80 | 0x405000 |
| 69 | blk.5.attn_v.bias | 0x3ddb6c80 | 0x800 |
| 70 | blk.5.attn_v.weight | 0x3ddb7480 | 0xfc000 |
| 71 | blk.5.ffn_down.weight | 0x3deb3480 | 0x246c000 |
| 72 | blk.5.ffn_gate.weight | 0x4031f480 | 0x1bd2800 |
| 73 | blk.5.ffn_norm.weight | 0x41ef1c80 | 0x3800 |
| 74 | blk.5.ffn_up.weight | 0x41ef5480 | 0x1bd2800 |
| 75 | blk.6.attn_k.bias | 0x43ac7c80 | 0x800 |
| 76 | blk.6.attn_k.weight | 0x43ac8480 | 0x93000 |
| 77 | blk.6.attn_norm.weight | 0x43b5b480 | 0x3800 |
| 78 | blk.6.attn_output.weight | 0x43b5ec80 | 0x86c000 |
| 79 | blk.6.attn_q.bias | 0x443cac80 | 0x3800 |
| 80 | blk.6.attn_q.weight | 0x443ce480 | 0x405000 |
| 81 | blk.6.attn_v.bias | 0x447d3480 | 0x800 |
| 82 | blk.6.attn_v.weight | 0x447d3c80 | 0xfc000 |
| 83 | blk.6.ffn_down.weight | 0x448cfc80 | 0x246c000 |
| 84 | blk.6.ffn_gate.weight | 0x46d3bc80 | 0x153f000 |
| 85 | blk.6.ffn_norm.weight | 0x4827ac80 | 0x3800 |
| 86 | blk.6.ffn_up.weight | 0x4827e480 | 0x153f000 |
| 87 | blk.7.attn_k.bias | 0x497bd480 | 0x800 |
| 88 | blk.7.attn_k.weight | 0x497bdc80 | 0x93000 |
| 89 | blk.7.attn_norm.weight | 0x49850c80 | 0x3800 |
| 90 | blk.7.attn_output.weight | 0x49854480 | 0x86c000 |
| 91 | blk.7.attn_q.bias | 0x4a0c0480 | 0x3800 |
| 92 | blk.7.attn_q.weight | 0x4a0c3c80 | 0x405000 |
| 93 | blk.7.attn_v.bias | 0x4a4c8c80 | 0x800 |
| 94 | blk.7.attn_v.weight | 0x4a4c9480 | 0xfc000 |
| 95 | blk.7.ffn_down.weight | 0x4a5c5480 | 0x2c84000 |
| 96 | blk.7.ffn_gate.weight | 0x4d249480 | 0x153f000 |
| 97 | blk.7.ffn_norm.weight | 0x4e788480 | 0x3800 |
| 98 | blk.7.ffn_up.weight | 0x4e78bc80 | 0x153f000 |
| 99 | blk.8.attn_k.bias | 0x4fccac80 | 0x800 |
| 100 | blk.8.attn_k.weight | 0x4fccb480 | 0x93000 |
| 101 | blk.8.attn_norm.weight | 0x4fd5e480 | 0x3800 |
| 102 | blk.8.attn_output.weight | 0x4fd61c80 | 0x86c000 |
| 103 | blk.8.attn_q.bias | 0x505cdc80 | 0x3800 |
| 104 | blk.8.attn_q.weight | 0x505d1480 | 0x405000 |
| 105 | blk.8.attn_v.bias | 0x509d6480 | 0x800 |
| 106 | blk.8.attn_v.weight | 0x509d6c80 | 0xfc000 |
| 107 | blk.8.ffn_down.weight | 0x50ad2c80 | 0x246c000 |
| 108 | blk.8.ffn_gate.weight | 0x52f3ec80 | 0x153f000 |
| 109 | blk.8.ffn_norm.weight | 0x5447dc80 | 0x3800 |
| 110 | blk.8.ffn_up.weight | 0x54481480 | 0x153f000 |
| 111 | blk.9.attn_k.bias | 0x559c0480 | 0x800 |
| 112 | blk.9.attn_k.weight | 0x559c0c80 | 0x93000 |
| 113 | blk.9.attn_norm.weight | 0x55a53c80 | 0x3800 |
| 114 | blk.9.attn_output.weight | 0x55a57480 | 0x86c000 |
| 115 | blk.9.attn_q.bias | 0x562c3480 | 0x3800 |
| 116 | blk.9.attn_q.weight | 0x562c6c80 | 0x405000 |
| 117 | blk.9.attn_v.bias | 0x566cbc80 | 0x800 |
| 118 | blk.9.attn_v.weight | 0x566cc480 | 0xfc000 |
| 119 | blk.9.ffn_down.weight | 0x567c8480 | 0x2c84000 |
| 120 | blk.9.ffn_gate.weight | 0x5944c480 | 0x1bd2800 |
| 121 | blk.9.ffn_norm.weight | 0x5b01ec80 | 0x3800 |
| 122 | blk.9.ffn_up.weight | 0x5b022480 | 0x1bd2800 |
| 123 | blk.10.attn_k.bias | 0x5cbf4c80 | 0x800 |
| 124 | blk.10.attn_k.weight | 0x5cbf5480 | 0x93000 |
| 125 | blk.10.attn_norm.weight | 0x5cc88480 | 0x3800 |
| 126 | blk.10.attn_output.weight | 0x5cc8bc80 | 0x86c000 |
| 127 | blk.10.attn_q.bias | 0x5d4f7c80 | 0x3800 |
| 128 | blk.10.attn_q.weight | 0x5d4fb480 | 0x405000 |
| 129 | blk.10.attn_v.bias | 0x5d900480 | 0x800 |
| 130 | blk.10.attn_v.weight | 0x5d900c80 | 0xfc000 |
| 131 | blk.10.ffn_down.weight | 0x5d9fcc80 | 0x2c84000 |
| 132 | blk.10.ffn_gate.weight | 0x60680c80 | 0x153f000 |
| 133 | blk.10.ffn_norm.weight | 0x61bbfc80 | 0x3800 |
| 134 | blk.10.ffn_up.weight | 0x61bc3480 | 0x153f000 |
| 135 | blk.11.attn_k.bias | 0x63102480 | 0x800 |
| 136 | blk.11.attn_k.weight | 0x63102c80 | 0x93000 |
| 137 | blk.11.attn_norm.weight | 0x63195c80 | 0x3800 |
| 138 | blk.11.attn_output.weight | 0x63199480 | 0x86c000 |
| 139 | blk.11.attn_q.bias | 0x63a05480 | 0x3800 |
| 140 | blk.11.attn_q.weight | 0x63a08c80 | 0x405000 |
| 141 | blk.11.attn_v.bias | 0x63e0dc80 | 0x800 |
| 142 | blk.11.attn_v.weight | 0x63e0e480 | 0xfc000 |
| 143 | blk.11.ffn_down.weight | 0x63f0a480 | 0x246c000 |
| 144 | blk.11.ffn_gate.weight | 0x66376480 | 0x153f000 |
| 145 | blk.11.ffn_norm.weight | 0x678b5480 | 0x3800 |
| 146 | blk.11.ffn_up.weight | 0x678b8c80 | 0x153f000 |
| 147 | blk.12.attn_k.bias | 0x68df7c80 | 0x800 |
| 148 | blk.12.attn_k.weight | 0x68df8480 | 0x93000 |
| 149 | blk.12.attn_norm.weight | 0x68e8b480 | 0x3800 |
| 150 | blk.12.attn_output.weight | 0x68e8ec80 | 0x86c000 |
| 151 | blk.12.attn_q.bias | 0x696fac80 | 0x3800 |
| 152 | blk.12.attn_q.weight | 0x696fe480 | 0x405000 |
| 153 | blk.12.attn_v.bias | 0x69b03480 | 0x800 |
| 154 | blk.12.attn_v.weight | 0x69b03c80 | 0xfc000 |
| 155 | blk.12.ffn_down.weight | 0x69bffc80 | 0x246c000 |
| 156 | blk.12.ffn_gate.weight | 0x6c06bc80 | 0x153f000 |
| 157 | blk.12.ffn_norm.weight | 0x6d5aac80 | 0x3800 |
| 158 | blk.12.ffn_up.weight | 0x6d5ae480 | 0x153f000 |
| 159 | blk.13.attn_k.bias | 0x6eaed480 | 0x800 |
| 160 | blk.13.attn_k.weight | 0x6eaedc80 | 0x93000 |
| 161 | blk.13.attn_norm.weight | 0x6eb80c80 | 0x3800 |
| 162 | blk.13.attn_output.weight | 0x6eb84480 | 0x86c000 |
| 163 | blk.13.attn_q.bias | 0x6f3f0480 | 0x3800 |
| 164 | blk.13.attn_q.weight | 0x6f3f3c80 | 0x405000 |
| 165 | blk.13.attn_v.bias | 0x6f7f8c80 | 0x800 |
| 166 | blk.13.attn_v.weight | 0x6f7f9480 | 0xfc000 |
| 167 | blk.13.ffn_down.weight | 0x6f8f5480 | 0x246c000 |
| 168 | blk.13.ffn_gate.weight | 0x71d61480 | 0x153f000 |
| 169 | blk.13.ffn_norm.weight | 0x732a0480 | 0x3800 |
| 170 | blk.13.ffn_up.weight | 0x732a3c80 | 0x153f000 |
| 171 | blk.14.attn_k.bias | 0x747e2c80 | 0x800 |
| 172 | blk.14.attn_k.weight | 0x747e3480 | 0xc0800 |
| 173 | blk.14.attn_norm.weight | 0x748a3c80 | 0x3800 |
| 174 | blk.14.attn_output.weight | 0x748a7480 | 0x86c000 |
| 175 | blk.14.attn_q.bias | 0x75113480 | 0x3800 |
| 176 | blk.14.attn_q.weight | 0x75116c80 | 0x543800 |
| 177 | blk.14.attn_v.bias | 0x7565a480 | 0x800 |
| 178 | blk.14.attn_v.weight | 0x7565ac80 | 0xfc000 |
| 179 | blk.14.ffn_down.weight | 0x75756c80 | 0x246c000 |
| 180 | blk.14.ffn_gate.weight | 0x77bc2c80 | 0x153f000 |
| 181 | blk.14.ffn_norm.weight | 0x79101c80 | 0x3800 |
| 182 | blk.14.ffn_up.weight | 0x79105480 | 0x153f000 |
| 183 | blk.15.attn_k.bias | 0x7a644480 | 0x800 |
| 184 | blk.15.attn_k.weight | 0x7a644c80 | 0xc0800 |
| 185 | blk.15.attn_norm.weight | 0x7a705480 | 0x3800 |
| 186 | blk.15.attn_output.weight | 0x7a708c80 | 0x86c000 |
| 187 | blk.15.attn_q.bias | 0x7af74c80 | 0x3800 |
| 188 | blk.15.attn_q.weight | 0x7af78480 | 0x543800 |
| 189 | blk.15.attn_v.bias | 0x7b4bbc80 | 0x800 |
| 190 | blk.15.attn_v.weight | 0x7b4bc480 | 0xfc000 |
| 191 | blk.15.ffn_down.weight | 0x7b5b8480 | 0x246c000 |
| 192 | blk.15.ffn_gate.weight | 0x7da24480 | 0x153f000 |
| 193 | blk.15.ffn_norm.weight | 0x7ef63480 | 0x3800 |
| 194 | blk.15.ffn_up.weight | 0x7ef66c80 | 0x153f000 |
| 195 | blk.16.attn_k.bias | 0x804a5c80 | 0x800 |
| 196 | blk.16.attn_k.weight | 0x804a6480 | 0xc0800 |
| 197 | blk.16.attn_norm.weight | 0x80566c80 | 0x3800 |
| 198 | blk.16.attn_output.weight | 0x8056a480 | 0x86c000 |
| 199 | blk.16.attn_q.bias | 0x80dd6480 | 0x3800 |
| 200 | blk.16.attn_q.weight | 0x80dd9c80 | 0x543800 |
| 201 | blk.16.attn_v.bias | 0x8131d480 | 0x800 |
| 202 | blk.16.attn_v.weight | 0x8131dc80 | 0xfc000 |
| 203 | blk.16.ffn_down.weight | 0x81419c80 | 0x246c000 |
| 204 | blk.16.ffn_gate.weight | 0x83885c80 | 0x153f000 |
| 205 | blk.16.ffn_norm.weight | 0x84dc4c80 | 0x3800 |
| 206 | blk.16.ffn_up.weight | 0x84dc8480 | 0x153f000 |
| 207 | blk.17.attn_k.bias | 0x86307480 | 0x800 |
| 208 | blk.17.attn_k.weight | 0x86307c80 | 0xc0800 |
| 209 | blk.17.attn_norm.weight | 0x863c8480 | 0x3800 |
| 210 | blk.17.attn_output.weight | 0x863cbc80 | 0x86c000 |
| 211 | blk.17.attn_q.bias | 0x86c37c80 | 0x3800 |
| 212 | blk.17.attn_q.weight | 0x86c3b480 | 0x543800 |
| 213 | blk.17.attn_v.bias | 0x8717ec80 | 0x800 |
| 214 | blk.17.attn_v.weight | 0x8717f480 | 0xfc000 |
| 215 | blk.17.ffn_down.weight | 0x8727b480 | 0x246c000 |
| 216 | blk.17.ffn_gate.weight | 0x896e7480 | 0x153f000 |
| 217 | blk.17.ffn_norm.weight | 0x8ac26480 | 0x3800 |
| 218 | blk.17.ffn_up.weight | 0x8ac29c80 | 0x153f000 |
| 219 | blk.18.attn_k.bias | 0x8c168c80 | 0x800 |
| 220 | blk.18.attn_k.weight | 0x8c169480 | 0xc0800 |
| 221 | blk.18.attn_norm.weight | 0x8c229c80 | 0x3800 |
| 222 | blk.18.attn_output.weight | 0x8c22d480 | 0x86c000 |
| 223 | blk.18.attn_q.bias | 0x8ca99480 | 0x3800 |
| 224 | blk.18.attn_q.weight | 0x8ca9cc80 | 0x543800 |
| 225 | blk.18.attn_v.bias | 0x8cfe0480 | 0x800 |
| 226 | blk.18.attn_v.weight | 0x8cfe0c80 | 0xfc000 |
| 227 | blk.18.ffn_down.weight | 0x8d0dcc80 | 0x2c84000 |
| 228 | blk.18.ffn_gate.weight | 0x8fd60c80 | 0x153f000 |
| 229 | blk.18.ffn_norm.weight | 0x9129fc80 | 0x3800 |
| 230 | blk.18.ffn_up.weight | 0x912a3480 | 0x153f000 |
| 231 | blk.19.attn_k.bias | 0x927e2480 | 0x800 |
| 232 | blk.19.attn_k.weight | 0x927e2c80 | 0xc0800 |
| 233 | blk.19.attn_norm.weight | 0x928a3480 | 0x3800 |
| 234 | blk.19.attn_output.weight | 0x928a6c80 | 0x86c000 |
| 235 | blk.19.attn_q.bias | 0x93112c80 | 0x3800 |
| 236 | blk.19.attn_q.weight | 0x93116480 | 0x543800 |
| 237 | blk.19.attn_v.bias | 0x93659c80 | 0x800 |
| 238 | blk.19.attn_v.weight | 0x9365a480 | 0xfc000 |
| 239 | blk.19.ffn_down.weight | 0x93756480 | 0x2c84000 |
| 240 | blk.19.ffn_gate.weight | 0x963da480 | 0x153f000 |
| 241 | blk.19.ffn_norm.weight | 0x97919480 | 0x3800 |
| 242 | blk.19.ffn_up.weight | 0x9791cc80 | 0x153f000 |
| 243 | blk.20.attn_k.bias | 0x98e5bc80 | 0x800 |
| 244 | blk.20.attn_k.weight | 0x98e5c480 | 0xc0800 |
| 245 | blk.20.attn_norm.weight | 0x98f1cc80 | 0x3800 |
| 246 | blk.20.attn_output.weight | 0x98f20480 | 0x86c000 |
| 247 | blk.20.attn_q.bias | 0x9978c480 | 0x3800 |
| 248 | blk.20.attn_q.weight | 0x9978fc80 | 0x543800 |
| 249 | blk.20.attn_v.bias | 0x99cd3480 | 0x800 |
| 250 | blk.20.attn_v.weight | 0x99cd3c80 | 0xfc000 |
| 251 | blk.20.ffn_down.weight | 0x99dcfc80 | 0x2c84000 |
| 252 | blk.20.ffn_gate.weight | 0x9ca53c80 | 0x1bd2800 |
| 253 | blk.20.ffn_norm.weight | 0x9e626480 | 0x3800 |
| 254 | blk.20.ffn_up.weight | 0x9e629c80 | 0x1bd2800 |
| 255 | blk.21.attn_k.bias | 0xa01fc480 | 0x800 |
| 256 | blk.21.attn_k.weight | 0xa01fcc80 | 0xc0800 |
| 257 | blk.21.attn_norm.weight | 0xa02bd480 | 0x3800 |
| 258 | blk.21.attn_output.weight | 0xa02c0c80 | 0x86c000 |
| 259 | blk.21.attn_q.bias | 0xa0b2cc80 | 0x3800 |
| 260 | blk.21.attn_q.weight | 0xa0b30480 | 0x543800 |
| 261 | blk.21.attn_v.bias | 0xa1073c80 | 0x800 |
| 262 | blk.21.attn_v.weight | 0xa1074480 | 0xfc000 |
| 263 | blk.21.ffn_down.weight | 0xa1170480 | 0x2c84000 |
| 264 | blk.21.ffn_gate.weight | 0xa3df4480 | 0x1bd2800 |
| 265 | blk.21.ffn_norm.weight | 0xa59c6c80 | 0x3800 |
| 266 | blk.21.ffn_up.weight | 0xa59ca480 | 0x1bd2800 |
| 267 | blk.22.attn_k.bias | 0xa759cc80 | 0x800 |
| 268 | blk.22.attn_k.weight | 0xa759d480 | 0xc0800 |
| 269 | blk.22.attn_norm.weight | 0xa765dc80 | 0x3800 |
| 270 | blk.22.attn_output.weight | 0xa7661480 | 0x86c000 |
| 271 | blk.22.attn_q.bias | 0xa7ecd480 | 0x3800 |
| 272 | blk.22.attn_q.weight | 0xa7ed0c80 | 0x543800 |
| 273 | blk.22.attn_v.bias | 0xa8414480 | 0x800 |
| 274 | blk.22.attn_v.weight | 0xa8414c80 | 0xfc000 |
| 275 | blk.22.ffn_down.weight | 0xa8510c80 | 0x2c84000 |
| 276 | blk.22.ffn_gate.weight | 0xab194c80 | 0x1bd2800 |
| 277 | blk.22.ffn_norm.weight | 0xacd67480 | 0x3800 |
| 278 | blk.22.ffn_up.weight | 0xacd6ac80 | 0x1bd2800 |
| 279 | blk.23.attn_k.bias | 0xae93d480 | 0x800 |
| 280 | blk.23.attn_k.weight | 0xae93dc80 | 0xc0800 |
| 281 | blk.23.attn_norm.weight | 0xae9fe480 | 0x3800 |
| 282 | blk.23.attn_output.weight | 0xaea01c80 | 0x86c000 |
| 283 | blk.23.attn_q.bias | 0xaf26dc80 | 0x3800 |
| 284 | blk.23.attn_q.weight | 0xaf271480 | 0x543800 |
| 285 | blk.23.attn_v.bias | 0xaf7b4c80 | 0x800 |
| 286 | blk.23.attn_v.weight | 0xaf7b5480 | 0xfc000 |
| 287 | blk.23.ffn_down.weight | 0xaf8b1480 | 0x2c84000 |
| 288 | blk.23.ffn_gate.weight | 0xb2535480 | 0x1bd2800 |
| 289 | blk.23.ffn_norm.weight | 0xb4107c80 | 0x3800 |
| 290 | blk.23.ffn_up.weight | 0xb410b480 | 0x1bd2800 |
| 291 | blk.24.attn_k.bias | 0xb5cddc80 | 0x800 |
| 292 | blk.24.attn_k.weight | 0xb5cde480 | 0xc0800 |
| 293 | blk.24.attn_norm.weight | 0xb5d9ec80 | 0x3800 |
| 294 | blk.24.attn_output.weight | 0xb5da2480 | 0x86c000 |
| 295 | blk.24.attn_q.bias | 0xb660e480 | 0x3800 |
| 296 | blk.24.attn_q.weight | 0xb6611c80 | 0x543800 |
| 297 | blk.24.attn_v.bias | 0xb6b55480 | 0x800 |
| 298 | blk.24.attn_v.weight | 0xb6b55c80 | 0xfc000 |
| 299 | blk.24.ffn_down.weight | 0xb6c51c80 | 0x2c84000 |
| 300 | blk.24.ffn_gate.weight | 0xb98d5c80 | 0x1bd2800 |
| 301 | blk.24.ffn_norm.weight | 0xbb4a8480 | 0x3800 |
| 302 | blk.24.ffn_up.weight | 0xbb4abc80 | 0x1bd2800 |
| 303 | blk.25.attn_k.bias | 0xbd07e480 | 0x800 |
| 304 | blk.25.attn_k.weight | 0xbd07ec80 | 0xc0800 |
| 305 | blk.25.attn_norm.weight | 0xbd13f480 | 0x3800 |
| 306 | blk.25.attn_output.weight | 0xbd142c80 | 0x86c000 |
| 307 | blk.25.attn_q.bias | 0xbd9aec80 | 0x3800 |
| 308 | blk.25.attn_q.weight | 0xbd9b2480 | 0x543800 |
| 309 | blk.25.attn_v.bias | 0xbdef5c80 | 0x800 |
| 310 | blk.25.attn_v.weight | 0xbdef6480 | 0xfc000 |
| 311 | blk.25.ffn_down.weight | 0xbdff2480 | 0x2c84000 |
| 312 | blk.25.ffn_gate.weight | 0xc0c76480 | 0x1bd2800 |
| 313 | blk.25.ffn_norm.weight | 0xc2848c80 | 0x3800 |
| 314 | blk.25.ffn_up.weight | 0xc284c480 | 0x1bd2800 |
| 315 | blk.26.attn_k.bias | 0xc441ec80 | 0x800 |
| 316 | blk.26.attn_k.weight | 0xc441f480 | 0xc0800 |
| 317 | blk.26.attn_norm.weight | 0xc44dfc80 | 0x3800 |
| 318 | blk.26.attn_output.weight | 0xc44e3480 | 0x86c000 |
| 319 | blk.26.attn_q.bias | 0xc4d4f480 | 0x3800 |
| 320 | blk.26.attn_q.weight | 0xc4d52c80 | 0x543800 |
| 321 | blk.26.attn_v.bias | 0xc5296480 | 0x800 |
| 322 | blk.26.attn_v.weight | 0xc5296c80 | 0xfc000 |
| 323 | blk.26.ffn_down.weight | 0xc5392c80 | 0x2c84000 |
| 324 | blk.26.ffn_gate.weight | 0xc8016c80 | 0x1bd2800 |
| 325 | blk.26.ffn_norm.weight | 0xc9be9480 | 0x3800 |
| 326 | blk.26.ffn_up.weight | 0xc9becc80 | 0x1bd2800 |
| 327 | blk.27.attn_k.bias | 0xcb7bf480 | 0x800 |
| 328 | blk.27.attn_k.weight | 0xcb7bfc80 | 0xc0800 |
| 329 | blk.27.attn_norm.weight | 0xcb880480 | 0x3800 |
| 330 | blk.27.attn_output.weight | 0xcb883c80 | 0x86c000 |
| 331 | blk.27.attn_q.bias | 0xcc0efc80 | 0x3800 |
| 332 | blk.27.attn_q.weight | 0xcc0f3480 | 0x543800 |
| 333 | blk.27.attn_v.bias | 0xcc636c80 | 0x800 |
| 334 | blk.27.attn_v.weight | 0xcc637480 | 0xfc000 |
| 335 | blk.27.ffn_down.weight | 0xcc733480 | 0x2c84000 |
| 336 | blk.27.ffn_gate.weight | 0xcf3b7480 | 0x1bd2800 |
| 337 | blk.27.ffn_norm.weight | 0xd0f89c80 | 0x3800 |
| 338 | blk.27.ffn_up.weight | 0xd0f8d480 | 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 | Q5_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 | Q4_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 | Q5_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 | Q4_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 | Q5_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 | Q4_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 | Q5_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 | Q4_K |
| 47 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_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 | Q5_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 | Q4_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 | Q5_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 | Q4_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 | Q5_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 | Q4_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 | Q5_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 | Q4_K |
| 95 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_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 | Q5_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 | Q4_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 | Q5_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 | Q4_K |
| 119 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_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 | Q5_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 | Q4_K |
| 131 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_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 | Q5_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 | Q4_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 | Q5_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 | Q4_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 | Q5_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 | Q4_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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 | Q5_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%