91 KiB
91 KiB
Hammer2.1-7b-IQ4_NL.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 | 25 |
| 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-IQ4_NL.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 | 0x123979e0 |
| 1 | output_norm.weight | 0x12942ea0 | 0x3800 |
| 2 | token_embd.weight | 0x129466a0 | 0xdebe7c4 |
| 3 | blk.0.attn_k.bias | 0x20804e80 | 0x800 |
| 4 | blk.0.attn_k.weight | 0x20805680 | 0xc0800 |
| 5 | blk.0.attn_norm.weight | 0x208c5e80 | 0x3800 |
| 6 | blk.0.attn_output.weight | 0x208c9680 | 0x6e4000 |
| 7 | blk.0.attn_q.bias | 0x20fad680 | 0x3800 |
| 8 | blk.0.attn_q.weight | 0x20fb0e80 | 0x543800 |
| 9 | blk.0.attn_v.bias | 0x214f4680 | 0x800 |
| 10 | blk.0.attn_v.weight | 0x214f4e80 | 0xee000 |
| 11 | blk.0.ffn_down.weight | 0x215e2e80 | 0x2c84000 |
| 12 | blk.0.ffn_gate.weight | 0x24266e80 | 0x1bd2800 |
| 13 | blk.0.ffn_norm.weight | 0x25e39680 | 0x3800 |
| 14 | blk.0.ffn_up.weight | 0x25e3ce80 | 0x1bd2800 |
| 15 | blk.1.attn_k.bias | 0x27a0f680 | 0x800 |
| 16 | blk.1.attn_k.weight | 0x27a0fe80 | 0xc0800 |
| 17 | blk.1.attn_norm.weight | 0x27ad0680 | 0x3800 |
| 18 | blk.1.attn_output.weight | 0x27ad3e80 | 0x6e4000 |
| 19 | blk.1.attn_q.bias | 0x281b7e80 | 0x3800 |
| 20 | blk.1.attn_q.weight | 0x281bb680 | 0x543800 |
| 21 | blk.1.attn_v.bias | 0x286fee80 | 0x800 |
| 22 | blk.1.attn_v.weight | 0x286ff680 | 0xee000 |
| 23 | blk.1.ffn_down.weight | 0x287ed680 | 0x2c84000 |
| 24 | blk.1.ffn_gate.weight | 0x2b471680 | 0x246c000 |
| 25 | blk.1.ffn_norm.weight | 0x2d8dd680 | 0x3800 |
| 26 | blk.1.ffn_up.weight | 0x2d8e0e80 | 0x246c000 |
| 27 | blk.2.attn_k.bias | 0x2fd4ce80 | 0x800 |
| 28 | blk.2.attn_k.weight | 0x2fd4d680 | 0xc0800 |
| 29 | blk.2.attn_norm.weight | 0x2fe0de80 | 0x3800 |
| 30 | blk.2.attn_output.weight | 0x2fe11680 | 0x6e4000 |
| 31 | blk.2.attn_q.bias | 0x304f5680 | 0x3800 |
| 32 | blk.2.attn_q.weight | 0x304f8e80 | 0x543800 |
| 33 | blk.2.attn_v.bias | 0x30a3c680 | 0x800 |
| 34 | blk.2.attn_v.weight | 0x30a3ce80 | 0xee000 |
| 35 | blk.2.ffn_down.weight | 0x30b2ae80 | 0x2c84000 |
| 36 | blk.2.ffn_gate.weight | 0x337aee80 | 0x246c000 |
| 37 | blk.2.ffn_norm.weight | 0x35c1ae80 | 0x3800 |
| 38 | blk.2.ffn_up.weight | 0x35c1e680 | 0x246c000 |
| 39 | blk.3.attn_k.bias | 0x3808a680 | 0x800 |
| 40 | blk.3.attn_k.weight | 0x3808ae80 | 0xc0800 |
| 41 | blk.3.attn_norm.weight | 0x3814b680 | 0x3800 |
| 42 | blk.3.attn_output.weight | 0x3814ee80 | 0x6e4000 |
| 43 | blk.3.attn_q.bias | 0x38832e80 | 0x3800 |
| 44 | blk.3.attn_q.weight | 0x38836680 | 0x543800 |
| 45 | blk.3.attn_v.bias | 0x38d79e80 | 0x800 |
| 46 | blk.3.attn_v.weight | 0x38d7a680 | 0xee000 |
| 47 | blk.3.ffn_down.weight | 0x38e68680 | 0x2c84000 |
| 48 | blk.3.ffn_gate.weight | 0x3baec680 | 0x246c000 |
| 49 | blk.3.ffn_norm.weight | 0x3df58680 | 0x3800 |
| 50 | blk.3.ffn_up.weight | 0x3df5be80 | 0x246c000 |
| 51 | blk.4.attn_k.bias | 0x403c7e80 | 0x800 |
| 52 | blk.4.attn_k.weight | 0x403c8680 | 0xc0800 |
| 53 | blk.4.attn_norm.weight | 0x40488e80 | 0x3800 |
| 54 | blk.4.attn_output.weight | 0x4048c680 | 0x6e4000 |
| 55 | blk.4.attn_q.bias | 0x40b70680 | 0x3800 |
| 56 | blk.4.attn_q.weight | 0x40b73e80 | 0x543800 |
| 57 | blk.4.attn_v.bias | 0x410b7680 | 0x800 |
| 58 | blk.4.attn_v.weight | 0x410b7e80 | 0xee000 |
| 59 | blk.4.ffn_down.weight | 0x411a5e80 | 0x2c84000 |
| 60 | blk.4.ffn_gate.weight | 0x43e29e80 | 0x246c000 |
| 61 | blk.4.ffn_norm.weight | 0x46295e80 | 0x3800 |
| 62 | blk.4.ffn_up.weight | 0x46299680 | 0x246c000 |
| 63 | blk.5.attn_k.bias | 0x48705680 | 0x800 |
| 64 | blk.5.attn_k.weight | 0x48705e80 | 0xc0800 |
| 65 | blk.5.attn_norm.weight | 0x487c6680 | 0x3800 |
| 66 | blk.5.attn_output.weight | 0x487c9e80 | 0x6e4000 |
| 67 | blk.5.attn_q.bias | 0x48eade80 | 0x3800 |
| 68 | blk.5.attn_q.weight | 0x48eb1680 | 0x543800 |
| 69 | blk.5.attn_v.bias | 0x493f4e80 | 0x800 |
| 70 | blk.5.attn_v.weight | 0x493f5680 | 0xee000 |
| 71 | blk.5.ffn_down.weight | 0x494e3680 | 0x2c84000 |
| 72 | blk.5.ffn_gate.weight | 0x4c167680 | 0x246c000 |
| 73 | blk.5.ffn_norm.weight | 0x4e5d3680 | 0x3800 |
| 74 | blk.5.ffn_up.weight | 0x4e5d6e80 | 0x246c000 |
| 75 | blk.6.attn_k.bias | 0x50a42e80 | 0x800 |
| 76 | blk.6.attn_k.weight | 0x50a43680 | 0xc0800 |
| 77 | blk.6.attn_norm.weight | 0x50b03e80 | 0x3800 |
| 78 | blk.6.attn_output.weight | 0x50b07680 | 0x6e4000 |
| 79 | blk.6.attn_q.bias | 0x511eb680 | 0x3800 |
| 80 | blk.6.attn_q.weight | 0x511eee80 | 0x543800 |
| 81 | blk.6.attn_v.bias | 0x51732680 | 0x800 |
| 82 | blk.6.attn_v.weight | 0x51732e80 | 0xee000 |
| 83 | blk.6.ffn_down.weight | 0x51820e80 | 0x2c84000 |
| 84 | blk.6.ffn_gate.weight | 0x544a4e80 | 0x1bd2800 |
| 85 | blk.6.ffn_norm.weight | 0x56077680 | 0x3800 |
| 86 | blk.6.ffn_up.weight | 0x5607ae80 | 0x1bd2800 |
| 87 | blk.7.attn_k.bias | 0x57c4d680 | 0x800 |
| 88 | blk.7.attn_k.weight | 0x57c4de80 | 0xc0800 |
| 89 | blk.7.attn_norm.weight | 0x57d0e680 | 0x3800 |
| 90 | blk.7.attn_output.weight | 0x57d11e80 | 0x6e4000 |
| 91 | blk.7.attn_q.bias | 0x583f5e80 | 0x3800 |
| 92 | blk.7.attn_q.weight | 0x583f9680 | 0x543800 |
| 93 | blk.7.attn_v.bias | 0x5893ce80 | 0x800 |
| 94 | blk.7.attn_v.weight | 0x5893d680 | 0xee000 |
| 95 | blk.7.ffn_down.weight | 0x58a2b680 | 0x2c84000 |
| 96 | blk.7.ffn_gate.weight | 0x5b6af680 | 0x1bd2800 |
| 97 | blk.7.ffn_norm.weight | 0x5d281e80 | 0x3800 |
| 98 | blk.7.ffn_up.weight | 0x5d285680 | 0x1bd2800 |
| 99 | blk.8.attn_k.bias | 0x5ee57e80 | 0x800 |
| 100 | blk.8.attn_k.weight | 0x5ee58680 | 0xc0800 |
| 101 | blk.8.attn_norm.weight | 0x5ef18e80 | 0x3800 |
| 102 | blk.8.attn_output.weight | 0x5ef1c680 | 0x6e4000 |
| 103 | blk.8.attn_q.bias | 0x5f600680 | 0x3800 |
| 104 | blk.8.attn_q.weight | 0x5f603e80 | 0x543800 |
| 105 | blk.8.attn_v.bias | 0x5fb47680 | 0x800 |
| 106 | blk.8.attn_v.weight | 0x5fb47e80 | 0xee000 |
| 107 | blk.8.ffn_down.weight | 0x5fc35e80 | 0x2c84000 |
| 108 | blk.8.ffn_gate.weight | 0x628b9e80 | 0x1bd2800 |
| 109 | blk.8.ffn_norm.weight | 0x6448c680 | 0x3800 |
| 110 | blk.8.ffn_up.weight | 0x6448fe80 | 0x1bd2800 |
| 111 | blk.9.attn_k.bias | 0x66062680 | 0x800 |
| 112 | blk.9.attn_k.weight | 0x66062e80 | 0xc0800 |
| 113 | blk.9.attn_norm.weight | 0x66123680 | 0x3800 |
| 114 | blk.9.attn_output.weight | 0x66126e80 | 0x6e4000 |
| 115 | blk.9.attn_q.bias | 0x6680ae80 | 0x3800 |
| 116 | blk.9.attn_q.weight | 0x6680e680 | 0x543800 |
| 117 | blk.9.attn_v.bias | 0x66d51e80 | 0x800 |
| 118 | blk.9.attn_v.weight | 0x66d52680 | 0xee000 |
| 119 | blk.9.ffn_down.weight | 0x66e40680 | 0x2c84000 |
| 120 | blk.9.ffn_gate.weight | 0x69ac4680 | 0x246c000 |
| 121 | blk.9.ffn_norm.weight | 0x6bf30680 | 0x3800 |
| 122 | blk.9.ffn_up.weight | 0x6bf33e80 | 0x246c000 |
| 123 | blk.10.attn_k.bias | 0x6e39fe80 | 0x800 |
| 124 | blk.10.attn_k.weight | 0x6e3a0680 | 0xc0800 |
| 125 | blk.10.attn_norm.weight | 0x6e460e80 | 0x3800 |
| 126 | blk.10.attn_output.weight | 0x6e464680 | 0x6e4000 |
| 127 | blk.10.attn_q.bias | 0x6eb48680 | 0x3800 |
| 128 | blk.10.attn_q.weight | 0x6eb4be80 | 0x543800 |
| 129 | blk.10.attn_v.bias | 0x6f08f680 | 0x800 |
| 130 | blk.10.attn_v.weight | 0x6f08fe80 | 0xee000 |
| 131 | blk.10.ffn_down.weight | 0x6f17de80 | 0x2c84000 |
| 132 | blk.10.ffn_gate.weight | 0x71e01e80 | 0x1bd2800 |
| 133 | blk.10.ffn_norm.weight | 0x739d4680 | 0x3800 |
| 134 | blk.10.ffn_up.weight | 0x739d7e80 | 0x1bd2800 |
| 135 | blk.11.attn_k.bias | 0x755aa680 | 0x800 |
| 136 | blk.11.attn_k.weight | 0x755aae80 | 0xc0800 |
| 137 | blk.11.attn_norm.weight | 0x7566b680 | 0x3800 |
| 138 | blk.11.attn_output.weight | 0x7566ee80 | 0x6e4000 |
| 139 | blk.11.attn_q.bias | 0x75d52e80 | 0x3800 |
| 140 | blk.11.attn_q.weight | 0x75d56680 | 0x543800 |
| 141 | blk.11.attn_v.bias | 0x76299e80 | 0x800 |
| 142 | blk.11.attn_v.weight | 0x7629a680 | 0xee000 |
| 143 | blk.11.ffn_down.weight | 0x76388680 | 0x2c84000 |
| 144 | blk.11.ffn_gate.weight | 0x7900c680 | 0x1bd2800 |
| 145 | blk.11.ffn_norm.weight | 0x7abdee80 | 0x3800 |
| 146 | blk.11.ffn_up.weight | 0x7abe2680 | 0x1bd2800 |
| 147 | blk.12.attn_k.bias | 0x7c7b4e80 | 0x800 |
| 148 | blk.12.attn_k.weight | 0x7c7b5680 | 0xc0800 |
| 149 | blk.12.attn_norm.weight | 0x7c875e80 | 0x3800 |
| 150 | blk.12.attn_output.weight | 0x7c879680 | 0x6e4000 |
| 151 | blk.12.attn_q.bias | 0x7cf5d680 | 0x3800 |
| 152 | blk.12.attn_q.weight | 0x7cf60e80 | 0x543800 |
| 153 | blk.12.attn_v.bias | 0x7d4a4680 | 0x800 |
| 154 | blk.12.attn_v.weight | 0x7d4a4e80 | 0xee000 |
| 155 | blk.12.ffn_down.weight | 0x7d592e80 | 0x2c84000 |
| 156 | blk.12.ffn_gate.weight | 0x80216e80 | 0x1bd2800 |
| 157 | blk.12.ffn_norm.weight | 0x81de9680 | 0x3800 |
| 158 | blk.12.ffn_up.weight | 0x81dece80 | 0x1bd2800 |
| 159 | blk.13.attn_k.bias | 0x839bf680 | 0x800 |
| 160 | blk.13.attn_k.weight | 0x839bfe80 | 0xc0800 |
| 161 | blk.13.attn_norm.weight | 0x83a80680 | 0x3800 |
| 162 | blk.13.attn_output.weight | 0x83a83e80 | 0x6e4000 |
| 163 | blk.13.attn_q.bias | 0x84167e80 | 0x3800 |
| 164 | blk.13.attn_q.weight | 0x8416b680 | 0x543800 |
| 165 | blk.13.attn_v.bias | 0x846aee80 | 0x800 |
| 166 | blk.13.attn_v.weight | 0x846af680 | 0xee000 |
| 167 | blk.13.ffn_down.weight | 0x8479d680 | 0x2c84000 |
| 168 | blk.13.ffn_gate.weight | 0x87421680 | 0x1bd2800 |
| 169 | blk.13.ffn_norm.weight | 0x88ff3e80 | 0x3800 |
| 170 | blk.13.ffn_up.weight | 0x88ff7680 | 0x1bd2800 |
| 171 | blk.14.attn_k.bias | 0x8abc9e80 | 0x800 |
| 172 | blk.14.attn_k.weight | 0x8abca680 | 0xfc000 |
| 173 | blk.14.attn_norm.weight | 0x8acc6680 | 0x3800 |
| 174 | blk.14.attn_output.weight | 0x8acc9e80 | 0x6e4000 |
| 175 | blk.14.attn_q.bias | 0x8b3ade80 | 0x3800 |
| 176 | blk.14.attn_q.weight | 0x8b3b1680 | 0x6e4000 |
| 177 | blk.14.attn_v.bias | 0x8ba95680 | 0x800 |
| 178 | blk.14.attn_v.weight | 0x8ba95e80 | 0xfc000 |
| 179 | blk.14.ffn_down.weight | 0x8bb91e80 | 0x2c84000 |
| 180 | blk.14.ffn_gate.weight | 0x8e815e80 | 0x1bd2800 |
| 181 | blk.14.ffn_norm.weight | 0x903e8680 | 0x3800 |
| 182 | blk.14.ffn_up.weight | 0x903ebe80 | 0x1bd2800 |
| 183 | blk.15.attn_k.bias | 0x91fbe680 | 0x800 |
| 184 | blk.15.attn_k.weight | 0x91fbee80 | 0xfc000 |
| 185 | blk.15.attn_norm.weight | 0x920bae80 | 0x3800 |
| 186 | blk.15.attn_output.weight | 0x920be680 | 0x6e4000 |
| 187 | blk.15.attn_q.bias | 0x927a2680 | 0x3800 |
| 188 | blk.15.attn_q.weight | 0x927a5e80 | 0x6e4000 |
| 189 | blk.15.attn_v.bias | 0x92e89e80 | 0x800 |
| 190 | blk.15.attn_v.weight | 0x92e8a680 | 0xfc000 |
| 191 | blk.15.ffn_down.weight | 0x92f86680 | 0x2c84000 |
| 192 | blk.15.ffn_gate.weight | 0x95c0a680 | 0x1bd2800 |
| 193 | blk.15.ffn_norm.weight | 0x977dce80 | 0x3800 |
| 194 | blk.15.ffn_up.weight | 0x977e0680 | 0x1bd2800 |
| 195 | blk.16.attn_k.bias | 0x993b2e80 | 0x800 |
| 196 | blk.16.attn_k.weight | 0x993b3680 | 0xfc000 |
| 197 | blk.16.attn_norm.weight | 0x994af680 | 0x3800 |
| 198 | blk.16.attn_output.weight | 0x994b2e80 | 0x6e4000 |
| 199 | blk.16.attn_q.bias | 0x99b96e80 | 0x3800 |
| 200 | blk.16.attn_q.weight | 0x99b9a680 | 0x6e4000 |
| 201 | blk.16.attn_v.bias | 0x9a27e680 | 0x800 |
| 202 | blk.16.attn_v.weight | 0x9a27ee80 | 0xfc000 |
| 203 | blk.16.ffn_down.weight | 0x9a37ae80 | 0x2c84000 |
| 204 | blk.16.ffn_gate.weight | 0x9cffee80 | 0x1bd2800 |
| 205 | blk.16.ffn_norm.weight | 0x9ebd1680 | 0x3800 |
| 206 | blk.16.ffn_up.weight | 0x9ebd4e80 | 0x1bd2800 |
| 207 | blk.17.attn_k.bias | 0xa07a7680 | 0x800 |
| 208 | blk.17.attn_k.weight | 0xa07a7e80 | 0xfc000 |
| 209 | blk.17.attn_norm.weight | 0xa08a3e80 | 0x3800 |
| 210 | blk.17.attn_output.weight | 0xa08a7680 | 0x6e4000 |
| 211 | blk.17.attn_q.bias | 0xa0f8b680 | 0x3800 |
| 212 | blk.17.attn_q.weight | 0xa0f8ee80 | 0x6e4000 |
| 213 | blk.17.attn_v.bias | 0xa1672e80 | 0x800 |
| 214 | blk.17.attn_v.weight | 0xa1673680 | 0xfc000 |
| 215 | blk.17.ffn_down.weight | 0xa176f680 | 0x2c84000 |
| 216 | blk.17.ffn_gate.weight | 0xa43f3680 | 0x1bd2800 |
| 217 | blk.17.ffn_norm.weight | 0xa5fc5e80 | 0x3800 |
| 218 | blk.17.ffn_up.weight | 0xa5fc9680 | 0x1bd2800 |
| 219 | blk.18.attn_k.bias | 0xa7b9be80 | 0x800 |
| 220 | blk.18.attn_k.weight | 0xa7b9c680 | 0xfc000 |
| 221 | blk.18.attn_norm.weight | 0xa7c98680 | 0x3800 |
| 222 | blk.18.attn_output.weight | 0xa7c9be80 | 0x6e4000 |
| 223 | blk.18.attn_q.bias | 0xa837fe80 | 0x3800 |
| 224 | blk.18.attn_q.weight | 0xa8383680 | 0x6e4000 |
| 225 | blk.18.attn_v.bias | 0xa8a67680 | 0x800 |
| 226 | blk.18.attn_v.weight | 0xa8a67e80 | 0xfc000 |
| 227 | blk.18.ffn_down.weight | 0xa8b63e80 | 0x2c84000 |
| 228 | blk.18.ffn_gate.weight | 0xab7e7e80 | 0x1bd2800 |
| 229 | blk.18.ffn_norm.weight | 0xad3ba680 | 0x3800 |
| 230 | blk.18.ffn_up.weight | 0xad3bde80 | 0x1bd2800 |
| 231 | blk.19.attn_k.bias | 0xaef90680 | 0x800 |
| 232 | blk.19.attn_k.weight | 0xaef90e80 | 0xfc000 |
| 233 | blk.19.attn_norm.weight | 0xaf08ce80 | 0x3800 |
| 234 | blk.19.attn_output.weight | 0xaf090680 | 0x6e4000 |
| 235 | blk.19.attn_q.bias | 0xaf774680 | 0x3800 |
| 236 | blk.19.attn_q.weight | 0xaf777e80 | 0x6e4000 |
| 237 | blk.19.attn_v.bias | 0xafe5be80 | 0x800 |
| 238 | blk.19.attn_v.weight | 0xafe5c680 | 0xfc000 |
| 239 | blk.19.ffn_down.weight | 0xaff58680 | 0x2c84000 |
| 240 | blk.19.ffn_gate.weight | 0xb2bdc680 | 0x1bd2800 |
| 241 | blk.19.ffn_norm.weight | 0xb47aee80 | 0x3800 |
| 242 | blk.19.ffn_up.weight | 0xb47b2680 | 0x1bd2800 |
| 243 | blk.20.attn_k.bias | 0xb6384e80 | 0x800 |
| 244 | blk.20.attn_k.weight | 0xb6385680 | 0xfc000 |
| 245 | blk.20.attn_norm.weight | 0xb6481680 | 0x3800 |
| 246 | blk.20.attn_output.weight | 0xb6484e80 | 0x6e4000 |
| 247 | blk.20.attn_q.bias | 0xb6b68e80 | 0x3800 |
| 248 | blk.20.attn_q.weight | 0xb6b6c680 | 0x6e4000 |
| 249 | blk.20.attn_v.bias | 0xb7250680 | 0x800 |
| 250 | blk.20.attn_v.weight | 0xb7250e80 | 0xfc000 |
| 251 | blk.20.ffn_down.weight | 0xb734ce80 | 0x2c84000 |
| 252 | blk.20.ffn_gate.weight | 0xb9fd0e80 | 0x246c000 |
| 253 | blk.20.ffn_norm.weight | 0xbc43ce80 | 0x3800 |
| 254 | blk.20.ffn_up.weight | 0xbc440680 | 0x246c000 |
| 255 | blk.21.attn_k.bias | 0xbe8ac680 | 0x800 |
| 256 | blk.21.attn_k.weight | 0xbe8ace80 | 0xfc000 |
| 257 | blk.21.attn_norm.weight | 0xbe9a8e80 | 0x3800 |
| 258 | blk.21.attn_output.weight | 0xbe9ac680 | 0x6e4000 |
| 259 | blk.21.attn_q.bias | 0xbf090680 | 0x3800 |
| 260 | blk.21.attn_q.weight | 0xbf093e80 | 0x6e4000 |
| 261 | blk.21.attn_v.bias | 0xbf777e80 | 0x800 |
| 262 | blk.21.attn_v.weight | 0xbf778680 | 0xfc000 |
| 263 | blk.21.ffn_down.weight | 0xbf874680 | 0x2c84000 |
| 264 | blk.21.ffn_gate.weight | 0xc24f8680 | 0x246c000 |
| 265 | blk.21.ffn_norm.weight | 0xc4964680 | 0x3800 |
| 266 | blk.21.ffn_up.weight | 0xc4967e80 | 0x246c000 |
| 267 | blk.22.attn_k.bias | 0xc6dd3e80 | 0x800 |
| 268 | blk.22.attn_k.weight | 0xc6dd4680 | 0xfc000 |
| 269 | blk.22.attn_norm.weight | 0xc6ed0680 | 0x3800 |
| 270 | blk.22.attn_output.weight | 0xc6ed3e80 | 0x6e4000 |
| 271 | blk.22.attn_q.bias | 0xc75b7e80 | 0x3800 |
| 272 | blk.22.attn_q.weight | 0xc75bb680 | 0x6e4000 |
| 273 | blk.22.attn_v.bias | 0xc7c9f680 | 0x800 |
| 274 | blk.22.attn_v.weight | 0xc7c9fe80 | 0xfc000 |
| 275 | blk.22.ffn_down.weight | 0xc7d9be80 | 0x2c84000 |
| 276 | blk.22.ffn_gate.weight | 0xcaa1fe80 | 0x246c000 |
| 277 | blk.22.ffn_norm.weight | 0xcce8be80 | 0x3800 |
| 278 | blk.22.ffn_up.weight | 0xcce8f680 | 0x246c000 |
| 279 | blk.23.attn_k.bias | 0xcf2fb680 | 0x800 |
| 280 | blk.23.attn_k.weight | 0xcf2fbe80 | 0xfc000 |
| 281 | blk.23.attn_norm.weight | 0xcf3f7e80 | 0x3800 |
| 282 | blk.23.attn_output.weight | 0xcf3fb680 | 0x6e4000 |
| 283 | blk.23.attn_q.bias | 0xcfadf680 | 0x3800 |
| 284 | blk.23.attn_q.weight | 0xcfae2e80 | 0x6e4000 |
| 285 | blk.23.attn_v.bias | 0xd01c6e80 | 0x800 |
| 286 | blk.23.attn_v.weight | 0xd01c7680 | 0xfc000 |
| 287 | blk.23.ffn_down.weight | 0xd02c3680 | 0x2c84000 |
| 288 | blk.23.ffn_gate.weight | 0xd2f47680 | 0x246c000 |
| 289 | blk.23.ffn_norm.weight | 0xd53b3680 | 0x3800 |
| 290 | blk.23.ffn_up.weight | 0xd53b6e80 | 0x246c000 |
| 291 | blk.24.attn_k.bias | 0xd7822e80 | 0x800 |
| 292 | blk.24.attn_k.weight | 0xd7823680 | 0xfc000 |
| 293 | blk.24.attn_norm.weight | 0xd791f680 | 0x3800 |
| 294 | blk.24.attn_output.weight | 0xd7922e80 | 0x6e4000 |
| 295 | blk.24.attn_q.bias | 0xd8006e80 | 0x3800 |
| 296 | blk.24.attn_q.weight | 0xd800a680 | 0x6e4000 |
| 297 | blk.24.attn_v.bias | 0xd86ee680 | 0x800 |
| 298 | blk.24.attn_v.weight | 0xd86eee80 | 0xfc000 |
| 299 | blk.24.ffn_down.weight | 0xd87eae80 | 0x2c84000 |
| 300 | blk.24.ffn_gate.weight | 0xdb46ee80 | 0x246c000 |
| 301 | blk.24.ffn_norm.weight | 0xdd8dae80 | 0x3800 |
| 302 | blk.24.ffn_up.weight | 0xdd8de680 | 0x246c000 |
| 303 | blk.25.attn_k.bias | 0xdfd4a680 | 0x800 |
| 304 | blk.25.attn_k.weight | 0xdfd4ae80 | 0xfc000 |
| 305 | blk.25.attn_norm.weight | 0xdfe46e80 | 0x3800 |
| 306 | blk.25.attn_output.weight | 0xdfe4a680 | 0x6e4000 |
| 307 | blk.25.attn_q.bias | 0xe052e680 | 0x3800 |
| 308 | blk.25.attn_q.weight | 0xe0531e80 | 0x6e4000 |
| 309 | blk.25.attn_v.bias | 0xe0c15e80 | 0x800 |
| 310 | blk.25.attn_v.weight | 0xe0c16680 | 0xfc000 |
| 311 | blk.25.ffn_down.weight | 0xe0d12680 | 0x2c84000 |
| 312 | blk.25.ffn_gate.weight | 0xe3996680 | 0x246c000 |
| 313 | blk.25.ffn_norm.weight | 0xe5e02680 | 0x3800 |
| 314 | blk.25.ffn_up.weight | 0xe5e05e80 | 0x246c000 |
| 315 | blk.26.attn_k.bias | 0xe8271e80 | 0x800 |
| 316 | blk.26.attn_k.weight | 0xe8272680 | 0xfc000 |
| 317 | blk.26.attn_norm.weight | 0xe836e680 | 0x3800 |
| 318 | blk.26.attn_output.weight | 0xe8371e80 | 0x6e4000 |
| 319 | blk.26.attn_q.bias | 0xe8a55e80 | 0x3800 |
| 320 | blk.26.attn_q.weight | 0xe8a59680 | 0x6e4000 |
| 321 | blk.26.attn_v.bias | 0xe913d680 | 0x800 |
| 322 | blk.26.attn_v.weight | 0xe913de80 | 0xfc000 |
| 323 | blk.26.ffn_down.weight | 0xe9239e80 | 0x2c84000 |
| 324 | blk.26.ffn_gate.weight | 0xebebde80 | 0x246c000 |
| 325 | blk.26.ffn_norm.weight | 0xee329e80 | 0x3800 |
| 326 | blk.26.ffn_up.weight | 0xee32d680 | 0x246c000 |
| 327 | blk.27.attn_k.bias | 0xf0799680 | 0x800 |
| 328 | blk.27.attn_k.weight | 0xf0799e80 | 0xfc000 |
| 329 | blk.27.attn_norm.weight | 0xf0895e80 | 0x3800 |
| 330 | blk.27.attn_output.weight | 0xf0899680 | 0x6e4000 |
| 331 | blk.27.attn_q.bias | 0xf0f7d680 | 0x3800 |
| 332 | blk.27.attn_q.weight | 0xf0f80e80 | 0x6e4000 |
| 333 | blk.27.attn_v.bias | 0xf1664e80 | 0x800 |
| 334 | blk.27.attn_v.weight | 0xf1665680 | 0xfc000 |
| 335 | blk.27.ffn_down.weight | 0xf1761680 | 0x2c84000 |
| 336 | blk.27.ffn_gate.weight | 0xf43e5680 | 0x246c000 |
| 337 | blk.27.ffn_norm.weight | 0xf6851680 | 0x3800 |
| 338 | blk.27.ffn_up.weight | 0xf6854e80 | 0x246c000 |
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 | IQ4_NL |
| 1 | output_norm.weight | Output Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 2 | token_embd.weight | Token Embedding (W) | (~544M) 543567360 | 3584 x 151665 x 1 x 1 | IQ3_S |
- Total elements in base: ( ~1B) 1087138304
- Percentage of total elements: 14.28%
Block 0 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 3 | blk.0.attn_k.bias | Block 0 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 4 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 7 | blk.0.attn_q.bias | Block 0 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 8 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 11 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 12 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 13 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 14 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.0: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 1 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 15 | blk.1.attn_k.bias | Block 1 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 16 | blk.1.attn_k.weight | Block 1 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 19 | blk.1.attn_q.bias | Block 1 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 20 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 23 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 24 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- Total elements in blk.1: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 2 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 27 | blk.2.attn_k.bias | Block 2 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 28 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 31 | blk.2.attn_q.bias | Block 2 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 32 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 35 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 36 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- Total elements in blk.2: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 3 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 39 | blk.3.attn_k.bias | Block 3 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 40 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 43 | blk.3.attn_q.bias | Block 3 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 44 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- Total elements in blk.3: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 4 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 51 | blk.4.attn_k.bias | Block 4 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 52 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 55 | blk.4.attn_q.bias | Block 4 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 56 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 59 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 60 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- Total elements in blk.4: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 5 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 63 | blk.5.attn_k.bias | Block 5 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 64 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 67 | blk.5.attn_q.bias | Block 5 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 68 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 71 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 72 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- Total elements in blk.5: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 6 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 75 | blk.6.attn_k.bias | Block 6 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 76 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 79 | blk.6.attn_q.bias | Block 6 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 80 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 83 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 84 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 85 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 86 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.6: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 7 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 87 | blk.7.attn_k.bias | Block 7 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 88 | blk.7.attn_k.weight | Block 7 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 91 | blk.7.attn_q.bias | Block 7 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 92 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 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 | IQ3_S |
| 97 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 98 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.7: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 8 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 99 | blk.8.attn_k.bias | Block 8 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 100 | blk.8.attn_k.weight | Block 8 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 103 | blk.8.attn_q.bias | Block 8 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 104 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 107 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 108 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 109 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 110 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.8: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 9 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 111 | blk.9.attn_k.bias | Block 9 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 112 | blk.9.attn_k.weight | Block 9 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 115 | blk.9.attn_q.bias | Block 9 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 116 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- Total elements in blk.9: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 10 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 123 | blk.10.attn_k.bias | Block 10 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 124 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 127 | blk.10.attn_q.bias | Block 10 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 128 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 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 | IQ3_S |
| 133 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 134 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.10: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 11 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 135 | blk.11.attn_k.bias | Block 11 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 136 | blk.11.attn_k.weight | Block 11 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 139 | blk.11.attn_q.bias | Block 11 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 140 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 143 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 144 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 145 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 146 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.11: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 12 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 147 | blk.12.attn_k.bias | Block 12 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 148 | blk.12.attn_k.weight | Block 12 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 151 | blk.12.attn_q.bias | Block 12 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 152 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 155 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 156 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 157 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 158 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- Total elements in blk.12: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 13 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 159 | blk.13.attn_k.bias | Block 13 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 160 | blk.13.attn_k.weight | Block 13 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | IQ3_S |
| 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 | IQ4_NL |
| 163 | blk.13.attn_q.bias | Block 13 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 164 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | IQ3_S |
| 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 | IQ4_XS |
| 167 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 168 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 169 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 170 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 179 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 180 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 181 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 182 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 191 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 192 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 193 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 194 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 203 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 204 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 205 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 206 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 215 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q5_K |
| 216 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
| 217 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 218 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ3_S |
| 229 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 230 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ3_S |
| 241 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 242 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
| 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 | IQ4_NL |
- Total elements in blk.27: (~233M) 233057792
- Percentage of total elements: 3.06%