90 KiB
90 KiB
Hammer2.1-7b-Q8_0.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 | 7 |
| 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-Q8_0.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 | 0x226c90e0 |
| 1 | output_norm.weight | 0x22c745a0 | 0x3800 |
| 2 | token_embd.weight | 0x22c77da0 | 0xdebe7c4 |
| 3 | blk.0.attn_k.bias | 0x30b36580 | 0x800 |
| 4 | blk.0.attn_k.weight | 0x30b36d80 | 0x16f800 |
| 5 | blk.0.attn_norm.weight | 0x30ca6580 | 0x3800 |
| 6 | blk.0.attn_output.weight | 0x30ca9d80 | 0xd04000 |
| 7 | blk.0.attn_q.bias | 0x319add80 | 0x3800 |
| 8 | blk.0.attn_q.weight | 0x319b1580 | 0xa0c800 |
| 9 | blk.0.attn_v.bias | 0x323bdd80 | 0x800 |
| 10 | blk.0.attn_v.weight | 0x323be580 | 0x1dc000 |
| 11 | blk.0.ffn_down.weight | 0x3259a580 | 0x44cc000 |
| 12 | blk.0.ffn_gate.weight | 0x36a66580 | 0x351d800 |
| 13 | blk.0.ffn_norm.weight | 0x39f83d80 | 0x3800 |
| 14 | blk.0.ffn_up.weight | 0x39f87580 | 0x351d800 |
| 15 | blk.1.attn_k.bias | 0x3d4a4d80 | 0x800 |
| 16 | blk.1.attn_k.weight | 0x3d4a5580 | 0x16f800 |
| 17 | blk.1.attn_norm.weight | 0x3d614d80 | 0x3800 |
| 18 | blk.1.attn_output.weight | 0x3d618580 | 0xd04000 |
| 19 | blk.1.attn_q.bias | 0x3e31c580 | 0x3800 |
| 20 | blk.1.attn_q.weight | 0x3e31fd80 | 0xa0c800 |
| 21 | blk.1.attn_v.bias | 0x3ed2c580 | 0x800 |
| 22 | blk.1.attn_v.weight | 0x3ed2cd80 | 0x1dc000 |
| 23 | blk.1.ffn_down.weight | 0x3ef08d80 | 0x44cc000 |
| 24 | blk.1.ffn_gate.weight | 0x433d4d80 | 0x44cc000 |
| 25 | blk.1.ffn_norm.weight | 0x478a0d80 | 0x3800 |
| 26 | blk.1.ffn_up.weight | 0x478a4580 | 0x44cc000 |
| 27 | blk.2.attn_k.bias | 0x4bd70580 | 0x800 |
| 28 | blk.2.attn_k.weight | 0x4bd70d80 | 0x16f800 |
| 29 | blk.2.attn_norm.weight | 0x4bee0580 | 0x3800 |
| 30 | blk.2.attn_output.weight | 0x4bee3d80 | 0xd04000 |
| 31 | blk.2.attn_q.bias | 0x4cbe7d80 | 0x3800 |
| 32 | blk.2.attn_q.weight | 0x4cbeb580 | 0xa0c800 |
| 33 | blk.2.attn_v.bias | 0x4d5f7d80 | 0x800 |
| 34 | blk.2.attn_v.weight | 0x4d5f8580 | 0x1dc000 |
| 35 | blk.2.ffn_down.weight | 0x4d7d4580 | 0x44cc000 |
| 36 | blk.2.ffn_gate.weight | 0x51ca0580 | 0x44cc000 |
| 37 | blk.2.ffn_norm.weight | 0x5616c580 | 0x3800 |
| 38 | blk.2.ffn_up.weight | 0x5616fd80 | 0x44cc000 |
| 39 | blk.3.attn_k.bias | 0x5a63bd80 | 0x800 |
| 40 | blk.3.attn_k.weight | 0x5a63c580 | 0x16f800 |
| 41 | blk.3.attn_norm.weight | 0x5a7abd80 | 0x3800 |
| 42 | blk.3.attn_output.weight | 0x5a7af580 | 0xd04000 |
| 43 | blk.3.attn_q.bias | 0x5b4b3580 | 0x3800 |
| 44 | blk.3.attn_q.weight | 0x5b4b6d80 | 0xa0c800 |
| 45 | blk.3.attn_v.bias | 0x5bec3580 | 0x800 |
| 46 | blk.3.attn_v.weight | 0x5bec3d80 | 0x1dc000 |
| 47 | blk.3.ffn_down.weight | 0x5c09fd80 | 0x44cc000 |
| 48 | blk.3.ffn_gate.weight | 0x6056bd80 | 0x44cc000 |
| 49 | blk.3.ffn_norm.weight | 0x64a37d80 | 0x3800 |
| 50 | blk.3.ffn_up.weight | 0x64a3b580 | 0x44cc000 |
| 51 | blk.4.attn_k.bias | 0x68f07580 | 0x800 |
| 52 | blk.4.attn_k.weight | 0x68f07d80 | 0x16f800 |
| 53 | blk.4.attn_norm.weight | 0x69077580 | 0x3800 |
| 54 | blk.4.attn_output.weight | 0x6907ad80 | 0xd04000 |
| 55 | blk.4.attn_q.bias | 0x69d7ed80 | 0x3800 |
| 56 | blk.4.attn_q.weight | 0x69d82580 | 0xa0c800 |
| 57 | blk.4.attn_v.bias | 0x6a78ed80 | 0x800 |
| 58 | blk.4.attn_v.weight | 0x6a78f580 | 0x1dc000 |
| 59 | blk.4.ffn_down.weight | 0x6a96b580 | 0x44cc000 |
| 60 | blk.4.ffn_gate.weight | 0x6ee37580 | 0x44cc000 |
| 61 | blk.4.ffn_norm.weight | 0x73303580 | 0x3800 |
| 62 | blk.4.ffn_up.weight | 0x73306d80 | 0x44cc000 |
| 63 | blk.5.attn_k.bias | 0x777d2d80 | 0x800 |
| 64 | blk.5.attn_k.weight | 0x777d3580 | 0x16f800 |
| 65 | blk.5.attn_norm.weight | 0x77942d80 | 0x3800 |
| 66 | blk.5.attn_output.weight | 0x77946580 | 0xd04000 |
| 67 | blk.5.attn_q.bias | 0x7864a580 | 0x3800 |
| 68 | blk.5.attn_q.weight | 0x7864dd80 | 0xa0c800 |
| 69 | blk.5.attn_v.bias | 0x7905a580 | 0x800 |
| 70 | blk.5.attn_v.weight | 0x7905ad80 | 0x1dc000 |
| 71 | blk.5.ffn_down.weight | 0x79236d80 | 0x44cc000 |
| 72 | blk.5.ffn_gate.weight | 0x7d702d80 | 0x44cc000 |
| 73 | blk.5.ffn_norm.weight | 0x81bced80 | 0x3800 |
| 74 | blk.5.ffn_up.weight | 0x81bd2580 | 0x44cc000 |
| 75 | blk.6.attn_k.bias | 0x8609e580 | 0x800 |
| 76 | blk.6.attn_k.weight | 0x8609ed80 | 0x16f800 |
| 77 | blk.6.attn_norm.weight | 0x8620e580 | 0x3800 |
| 78 | blk.6.attn_output.weight | 0x86211d80 | 0xd04000 |
| 79 | blk.6.attn_q.bias | 0x86f15d80 | 0x3800 |
| 80 | blk.6.attn_q.weight | 0x86f19580 | 0xa0c800 |
| 81 | blk.6.attn_v.bias | 0x87925d80 | 0x800 |
| 82 | blk.6.attn_v.weight | 0x87926580 | 0x1dc000 |
| 83 | blk.6.ffn_down.weight | 0x87b02580 | 0x44cc000 |
| 84 | blk.6.ffn_gate.weight | 0x8bfce580 | 0x351d800 |
| 85 | blk.6.ffn_norm.weight | 0x8f4ebd80 | 0x3800 |
| 86 | blk.6.ffn_up.weight | 0x8f4ef580 | 0x351d800 |
| 87 | blk.7.attn_k.bias | 0x92a0cd80 | 0x800 |
| 88 | blk.7.attn_k.weight | 0x92a0d580 | 0x16f800 |
| 89 | blk.7.attn_norm.weight | 0x92b7cd80 | 0x3800 |
| 90 | blk.7.attn_output.weight | 0x92b80580 | 0xd04000 |
| 91 | blk.7.attn_q.bias | 0x93884580 | 0x3800 |
| 92 | blk.7.attn_q.weight | 0x93887d80 | 0xa0c800 |
| 93 | blk.7.attn_v.bias | 0x94294580 | 0x800 |
| 94 | blk.7.attn_v.weight | 0x94294d80 | 0x1dc000 |
| 95 | blk.7.ffn_down.weight | 0x94470d80 | 0x44cc000 |
| 96 | blk.7.ffn_gate.weight | 0x9893cd80 | 0x351d800 |
| 97 | blk.7.ffn_norm.weight | 0x9be5a580 | 0x3800 |
| 98 | blk.7.ffn_up.weight | 0x9be5dd80 | 0x351d800 |
| 99 | blk.8.attn_k.bias | 0x9f37b580 | 0x800 |
| 100 | blk.8.attn_k.weight | 0x9f37bd80 | 0x16f800 |
| 101 | blk.8.attn_norm.weight | 0x9f4eb580 | 0x3800 |
| 102 | blk.8.attn_output.weight | 0x9f4eed80 | 0xd04000 |
| 103 | blk.8.attn_q.bias | 0xa01f2d80 | 0x3800 |
| 104 | blk.8.attn_q.weight | 0xa01f6580 | 0xa0c800 |
| 105 | blk.8.attn_v.bias | 0xa0c02d80 | 0x800 |
| 106 | blk.8.attn_v.weight | 0xa0c03580 | 0x1dc000 |
| 107 | blk.8.ffn_down.weight | 0xa0ddf580 | 0x44cc000 |
| 108 | blk.8.ffn_gate.weight | 0xa52ab580 | 0x351d800 |
| 109 | blk.8.ffn_norm.weight | 0xa87c8d80 | 0x3800 |
| 110 | blk.8.ffn_up.weight | 0xa87cc580 | 0x351d800 |
| 111 | blk.9.attn_k.bias | 0xabce9d80 | 0x800 |
| 112 | blk.9.attn_k.weight | 0xabcea580 | 0x16f800 |
| 113 | blk.9.attn_norm.weight | 0xabe59d80 | 0x3800 |
| 114 | blk.9.attn_output.weight | 0xabe5d580 | 0xd04000 |
| 115 | blk.9.attn_q.bias | 0xacb61580 | 0x3800 |
| 116 | blk.9.attn_q.weight | 0xacb64d80 | 0xa0c800 |
| 117 | blk.9.attn_v.bias | 0xad571580 | 0x800 |
| 118 | blk.9.attn_v.weight | 0xad571d80 | 0x1dc000 |
| 119 | blk.9.ffn_down.weight | 0xad74dd80 | 0x44cc000 |
| 120 | blk.9.ffn_gate.weight | 0xb1c19d80 | 0x44cc000 |
| 121 | blk.9.ffn_norm.weight | 0xb60e5d80 | 0x3800 |
| 122 | blk.9.ffn_up.weight | 0xb60e9580 | 0x44cc000 |
| 123 | blk.10.attn_k.bias | 0xba5b5580 | 0x800 |
| 124 | blk.10.attn_k.weight | 0xba5b5d80 | 0x16f800 |
| 125 | blk.10.attn_norm.weight | 0xba725580 | 0x3800 |
| 126 | blk.10.attn_output.weight | 0xba728d80 | 0xd04000 |
| 127 | blk.10.attn_q.bias | 0xbb42cd80 | 0x3800 |
| 128 | blk.10.attn_q.weight | 0xbb430580 | 0xa0c800 |
| 129 | blk.10.attn_v.bias | 0xbbe3cd80 | 0x800 |
| 130 | blk.10.attn_v.weight | 0xbbe3d580 | 0x1dc000 |
| 131 | blk.10.ffn_down.weight | 0xbc019580 | 0x44cc000 |
| 132 | blk.10.ffn_gate.weight | 0xc04e5580 | 0x351d800 |
| 133 | blk.10.ffn_norm.weight | 0xc3a02d80 | 0x3800 |
| 134 | blk.10.ffn_up.weight | 0xc3a06580 | 0x351d800 |
| 135 | blk.11.attn_k.bias | 0xc6f23d80 | 0x800 |
| 136 | blk.11.attn_k.weight | 0xc6f24580 | 0x16f800 |
| 137 | blk.11.attn_norm.weight | 0xc7093d80 | 0x3800 |
| 138 | blk.11.attn_output.weight | 0xc7097580 | 0xd04000 |
| 139 | blk.11.attn_q.bias | 0xc7d9b580 | 0x3800 |
| 140 | blk.11.attn_q.weight | 0xc7d9ed80 | 0xa0c800 |
| 141 | blk.11.attn_v.bias | 0xc87ab580 | 0x800 |
| 142 | blk.11.attn_v.weight | 0xc87abd80 | 0x1dc000 |
| 143 | blk.11.ffn_down.weight | 0xc8987d80 | 0x44cc000 |
| 144 | blk.11.ffn_gate.weight | 0xcce53d80 | 0x351d800 |
| 145 | blk.11.ffn_norm.weight | 0xd0371580 | 0x3800 |
| 146 | blk.11.ffn_up.weight | 0xd0374d80 | 0x351d800 |
| 147 | blk.12.attn_k.bias | 0xd3892580 | 0x800 |
| 148 | blk.12.attn_k.weight | 0xd3892d80 | 0x16f800 |
| 149 | blk.12.attn_norm.weight | 0xd3a02580 | 0x3800 |
| 150 | blk.12.attn_output.weight | 0xd3a05d80 | 0xd04000 |
| 151 | blk.12.attn_q.bias | 0xd4709d80 | 0x3800 |
| 152 | blk.12.attn_q.weight | 0xd470d580 | 0xa0c800 |
| 153 | blk.12.attn_v.bias | 0xd5119d80 | 0x800 |
| 154 | blk.12.attn_v.weight | 0xd511a580 | 0x1dc000 |
| 155 | blk.12.ffn_down.weight | 0xd52f6580 | 0x44cc000 |
| 156 | blk.12.ffn_gate.weight | 0xd97c2580 | 0x351d800 |
| 157 | blk.12.ffn_norm.weight | 0xdccdfd80 | 0x3800 |
| 158 | blk.12.ffn_up.weight | 0xdcce3580 | 0x351d800 |
| 159 | blk.13.attn_k.bias | 0xe0200d80 | 0x800 |
| 160 | blk.13.attn_k.weight | 0xe0201580 | 0x16f800 |
| 161 | blk.13.attn_norm.weight | 0xe0370d80 | 0x3800 |
| 162 | blk.13.attn_output.weight | 0xe0374580 | 0xd04000 |
| 163 | blk.13.attn_q.bias | 0xe1078580 | 0x3800 |
| 164 | blk.13.attn_q.weight | 0xe107bd80 | 0xa0c800 |
| 165 | blk.13.attn_v.bias | 0xe1a88580 | 0x800 |
| 166 | blk.13.attn_v.weight | 0xe1a88d80 | 0x1dc000 |
| 167 | blk.13.ffn_down.weight | 0xe1c64d80 | 0x44cc000 |
| 168 | blk.13.ffn_gate.weight | 0xe6130d80 | 0x351d800 |
| 169 | blk.13.ffn_norm.weight | 0xe964e580 | 0x3800 |
| 170 | blk.13.ffn_up.weight | 0xe9651d80 | 0x351d800 |
| 171 | blk.14.attn_k.bias | 0xecb6f580 | 0x800 |
| 172 | blk.14.attn_k.weight | 0xecb6fd80 | 0x1dc000 |
| 173 | blk.14.attn_norm.weight | 0xecd4bd80 | 0x3800 |
| 174 | blk.14.attn_output.weight | 0xecd4f580 | 0xd04000 |
| 175 | blk.14.attn_q.bias | 0xeda53580 | 0x3800 |
| 176 | blk.14.attn_q.weight | 0xeda56d80 | 0xd04000 |
| 177 | blk.14.attn_v.bias | 0xee75ad80 | 0x800 |
| 178 | blk.14.attn_v.weight | 0xee75b580 | 0x380000 |
| 179 | blk.14.ffn_down.weight | 0xeeadb580 | 0x44cc000 |
| 180 | blk.14.ffn_gate.weight | 0xf2fa7580 | 0x351d800 |
| 181 | blk.14.ffn_norm.weight | 0xf64c4d80 | 0x3800 |
| 182 | blk.14.ffn_up.weight | 0xf64c8580 | 0x351d800 |
| 183 | blk.15.attn_k.bias | 0xf99e5d80 | 0x800 |
| 184 | blk.15.attn_k.weight | 0xf99e6580 | 0x1dc000 |
| 185 | blk.15.attn_norm.weight | 0xf9bc2580 | 0x3800 |
| 186 | blk.15.attn_output.weight | 0xf9bc5d80 | 0xd04000 |
| 187 | blk.15.attn_q.bias | 0xfa8c9d80 | 0x3800 |
| 188 | blk.15.attn_q.weight | 0xfa8cd580 | 0xd04000 |
| 189 | blk.15.attn_v.bias | 0xfb5d1580 | 0x800 |
| 190 | blk.15.attn_v.weight | 0xfb5d1d80 | 0x380000 |
| 191 | blk.15.ffn_down.weight | 0xfb951d80 | 0x44cc000 |
| 192 | blk.15.ffn_gate.weight | 0xffe1dd80 | 0x351d800 |
| 193 | blk.15.ffn_norm.weight | 0x10333b580 | 0x3800 |
| 194 | blk.15.ffn_up.weight | 0x10333ed80 | 0x351d800 |
| 195 | blk.16.attn_k.bias | 0x10685c580 | 0x800 |
| 196 | blk.16.attn_k.weight | 0x10685cd80 | 0x1dc000 |
| 197 | blk.16.attn_norm.weight | 0x106a38d80 | 0x3800 |
| 198 | blk.16.attn_output.weight | 0x106a3c580 | 0xd04000 |
| 199 | blk.16.attn_q.bias | 0x107740580 | 0x3800 |
| 200 | blk.16.attn_q.weight | 0x107743d80 | 0xd04000 |
| 201 | blk.16.attn_v.bias | 0x108447d80 | 0x800 |
| 202 | blk.16.attn_v.weight | 0x108448580 | 0x380000 |
| 203 | blk.16.ffn_down.weight | 0x1087c8580 | 0x44cc000 |
| 204 | blk.16.ffn_gate.weight | 0x10cc94580 | 0x351d800 |
| 205 | blk.16.ffn_norm.weight | 0x1101b1d80 | 0x3800 |
| 206 | blk.16.ffn_up.weight | 0x1101b5580 | 0x351d800 |
| 207 | blk.17.attn_k.bias | 0x1136d2d80 | 0x800 |
| 208 | blk.17.attn_k.weight | 0x1136d3580 | 0x1dc000 |
| 209 | blk.17.attn_norm.weight | 0x1138af580 | 0x3800 |
| 210 | blk.17.attn_output.weight | 0x1138b2d80 | 0xd04000 |
| 211 | blk.17.attn_q.bias | 0x1145b6d80 | 0x3800 |
| 212 | blk.17.attn_q.weight | 0x1145ba580 | 0xd04000 |
| 213 | blk.17.attn_v.bias | 0x1152be580 | 0x800 |
| 214 | blk.17.attn_v.weight | 0x1152bed80 | 0x380000 |
| 215 | blk.17.ffn_down.weight | 0x11563ed80 | 0x44cc000 |
| 216 | blk.17.ffn_gate.weight | 0x119b0ad80 | 0x351d800 |
| 217 | blk.17.ffn_norm.weight | 0x11d028580 | 0x3800 |
| 218 | blk.17.ffn_up.weight | 0x11d02bd80 | 0x351d800 |
| 219 | blk.18.attn_k.bias | 0x120549580 | 0x800 |
| 220 | blk.18.attn_k.weight | 0x120549d80 | 0x1dc000 |
| 221 | blk.18.attn_norm.weight | 0x120725d80 | 0x3800 |
| 222 | blk.18.attn_output.weight | 0x120729580 | 0xd04000 |
| 223 | blk.18.attn_q.bias | 0x12142d580 | 0x3800 |
| 224 | blk.18.attn_q.weight | 0x121430d80 | 0xd04000 |
| 225 | blk.18.attn_v.bias | 0x122134d80 | 0x800 |
| 226 | blk.18.attn_v.weight | 0x122135580 | 0x380000 |
| 227 | blk.18.ffn_down.weight | 0x1224b5580 | 0x44cc000 |
| 228 | blk.18.ffn_gate.weight | 0x126981580 | 0x351d800 |
| 229 | blk.18.ffn_norm.weight | 0x129e9ed80 | 0x3800 |
| 230 | blk.18.ffn_up.weight | 0x129ea2580 | 0x351d800 |
| 231 | blk.19.attn_k.bias | 0x12d3bfd80 | 0x800 |
| 232 | blk.19.attn_k.weight | 0x12d3c0580 | 0x1dc000 |
| 233 | blk.19.attn_norm.weight | 0x12d59c580 | 0x3800 |
| 234 | blk.19.attn_output.weight | 0x12d59fd80 | 0xd04000 |
| 235 | blk.19.attn_q.bias | 0x12e2a3d80 | 0x3800 |
| 236 | blk.19.attn_q.weight | 0x12e2a7580 | 0xd04000 |
| 237 | blk.19.attn_v.bias | 0x12efab580 | 0x800 |
| 238 | blk.19.attn_v.weight | 0x12efabd80 | 0x380000 |
| 239 | blk.19.ffn_down.weight | 0x12f32bd80 | 0x44cc000 |
| 240 | blk.19.ffn_gate.weight | 0x1337f7d80 | 0x351d800 |
| 241 | blk.19.ffn_norm.weight | 0x136d15580 | 0x3800 |
| 242 | blk.19.ffn_up.weight | 0x136d18d80 | 0x351d800 |
| 243 | blk.20.attn_k.bias | 0x13a236580 | 0x800 |
| 244 | blk.20.attn_k.weight | 0x13a236d80 | 0x1dc000 |
| 245 | blk.20.attn_norm.weight | 0x13a412d80 | 0x3800 |
| 246 | blk.20.attn_output.weight | 0x13a416580 | 0xd04000 |
| 247 | blk.20.attn_q.bias | 0x13b11a580 | 0x3800 |
| 248 | blk.20.attn_q.weight | 0x13b11dd80 | 0xd04000 |
| 249 | blk.20.attn_v.bias | 0x13be21d80 | 0x800 |
| 250 | blk.20.attn_v.weight | 0x13be22580 | 0x380000 |
| 251 | blk.20.ffn_down.weight | 0x13c1a2580 | 0x44cc000 |
| 252 | blk.20.ffn_gate.weight | 0x14066e580 | 0x44cc000 |
| 253 | blk.20.ffn_norm.weight | 0x144b3a580 | 0x3800 |
| 254 | blk.20.ffn_up.weight | 0x144b3dd80 | 0x44cc000 |
| 255 | blk.21.attn_k.bias | 0x149009d80 | 0x800 |
| 256 | blk.21.attn_k.weight | 0x14900a580 | 0x1dc000 |
| 257 | blk.21.attn_norm.weight | 0x1491e6580 | 0x3800 |
| 258 | blk.21.attn_output.weight | 0x1491e9d80 | 0xd04000 |
| 259 | blk.21.attn_q.bias | 0x149eedd80 | 0x3800 |
| 260 | blk.21.attn_q.weight | 0x149ef1580 | 0xd04000 |
| 261 | blk.21.attn_v.bias | 0x14abf5580 | 0x800 |
| 262 | blk.21.attn_v.weight | 0x14abf5d80 | 0x380000 |
| 263 | blk.21.ffn_down.weight | 0x14af75d80 | 0x44cc000 |
| 264 | blk.21.ffn_gate.weight | 0x14f441d80 | 0x44cc000 |
| 265 | blk.21.ffn_norm.weight | 0x15390dd80 | 0x3800 |
| 266 | blk.21.ffn_up.weight | 0x153911580 | 0x44cc000 |
| 267 | blk.22.attn_k.bias | 0x157ddd580 | 0x800 |
| 268 | blk.22.attn_k.weight | 0x157dddd80 | 0x1dc000 |
| 269 | blk.22.attn_norm.weight | 0x157fb9d80 | 0x3800 |
| 270 | blk.22.attn_output.weight | 0x157fbd580 | 0xd04000 |
| 271 | blk.22.attn_q.bias | 0x158cc1580 | 0x3800 |
| 272 | blk.22.attn_q.weight | 0x158cc4d80 | 0xd04000 |
| 273 | blk.22.attn_v.bias | 0x1599c8d80 | 0x800 |
| 274 | blk.22.attn_v.weight | 0x1599c9580 | 0x380000 |
| 275 | blk.22.ffn_down.weight | 0x159d49580 | 0x44cc000 |
| 276 | blk.22.ffn_gate.weight | 0x15e215580 | 0x44cc000 |
| 277 | blk.22.ffn_norm.weight | 0x1626e1580 | 0x3800 |
| 278 | blk.22.ffn_up.weight | 0x1626e4d80 | 0x44cc000 |
| 279 | blk.23.attn_k.bias | 0x166bb0d80 | 0x800 |
| 280 | blk.23.attn_k.weight | 0x166bb1580 | 0x1dc000 |
| 281 | blk.23.attn_norm.weight | 0x166d8d580 | 0x3800 |
| 282 | blk.23.attn_output.weight | 0x166d90d80 | 0xd04000 |
| 283 | blk.23.attn_q.bias | 0x167a94d80 | 0x3800 |
| 284 | blk.23.attn_q.weight | 0x167a98580 | 0xd04000 |
| 285 | blk.23.attn_v.bias | 0x16879c580 | 0x800 |
| 286 | blk.23.attn_v.weight | 0x16879cd80 | 0x380000 |
| 287 | blk.23.ffn_down.weight | 0x168b1cd80 | 0x44cc000 |
| 288 | blk.23.ffn_gate.weight | 0x16cfe8d80 | 0x44cc000 |
| 289 | blk.23.ffn_norm.weight | 0x1714b4d80 | 0x3800 |
| 290 | blk.23.ffn_up.weight | 0x1714b8580 | 0x44cc000 |
| 291 | blk.24.attn_k.bias | 0x175984580 | 0x800 |
| 292 | blk.24.attn_k.weight | 0x175984d80 | 0x1dc000 |
| 293 | blk.24.attn_norm.weight | 0x175b60d80 | 0x3800 |
| 294 | blk.24.attn_output.weight | 0x175b64580 | 0xd04000 |
| 295 | blk.24.attn_q.bias | 0x176868580 | 0x3800 |
| 296 | blk.24.attn_q.weight | 0x17686bd80 | 0xd04000 |
| 297 | blk.24.attn_v.bias | 0x17756fd80 | 0x800 |
| 298 | blk.24.attn_v.weight | 0x177570580 | 0x380000 |
| 299 | blk.24.ffn_down.weight | 0x1778f0580 | 0x44cc000 |
| 300 | blk.24.ffn_gate.weight | 0x17bdbc580 | 0x44cc000 |
| 301 | blk.24.ffn_norm.weight | 0x180288580 | 0x3800 |
| 302 | blk.24.ffn_up.weight | 0x18028bd80 | 0x44cc000 |
| 303 | blk.25.attn_k.bias | 0x184757d80 | 0x800 |
| 304 | blk.25.attn_k.weight | 0x184758580 | 0x1dc000 |
| 305 | blk.25.attn_norm.weight | 0x184934580 | 0x3800 |
| 306 | blk.25.attn_output.weight | 0x184937d80 | 0xd04000 |
| 307 | blk.25.attn_q.bias | 0x18563bd80 | 0x3800 |
| 308 | blk.25.attn_q.weight | 0x18563f580 | 0xd04000 |
| 309 | blk.25.attn_v.bias | 0x186343580 | 0x800 |
| 310 | blk.25.attn_v.weight | 0x186343d80 | 0x380000 |
| 311 | blk.25.ffn_down.weight | 0x1866c3d80 | 0x44cc000 |
| 312 | blk.25.ffn_gate.weight | 0x18ab8fd80 | 0x44cc000 |
| 313 | blk.25.ffn_norm.weight | 0x18f05bd80 | 0x3800 |
| 314 | blk.25.ffn_up.weight | 0x18f05f580 | 0x44cc000 |
| 315 | blk.26.attn_k.bias | 0x19352b580 | 0x800 |
| 316 | blk.26.attn_k.weight | 0x19352bd80 | 0x1dc000 |
| 317 | blk.26.attn_norm.weight | 0x193707d80 | 0x3800 |
| 318 | blk.26.attn_output.weight | 0x19370b580 | 0xd04000 |
| 319 | blk.26.attn_q.bias | 0x19440f580 | 0x3800 |
| 320 | blk.26.attn_q.weight | 0x194412d80 | 0xd04000 |
| 321 | blk.26.attn_v.bias | 0x195116d80 | 0x800 |
| 322 | blk.26.attn_v.weight | 0x195117580 | 0x380000 |
| 323 | blk.26.ffn_down.weight | 0x195497580 | 0x44cc000 |
| 324 | blk.26.ffn_gate.weight | 0x199963580 | 0x44cc000 |
| 325 | blk.26.ffn_norm.weight | 0x19de2f580 | 0x3800 |
| 326 | blk.26.ffn_up.weight | 0x19de32d80 | 0x44cc000 |
| 327 | blk.27.attn_k.bias | 0x1a22fed80 | 0x800 |
| 328 | blk.27.attn_k.weight | 0x1a22ff580 | 0x1dc000 |
| 329 | blk.27.attn_norm.weight | 0x1a24db580 | 0x3800 |
| 330 | blk.27.attn_output.weight | 0x1a24ded80 | 0xd04000 |
| 331 | blk.27.attn_q.bias | 0x1a31e2d80 | 0x3800 |
| 332 | blk.27.attn_q.weight | 0x1a31e6580 | 0xd04000 |
| 333 | blk.27.attn_v.bias | 0x1a3eea580 | 0x800 |
| 334 | blk.27.attn_v.weight | 0x1a3eead80 | 0x380000 |
| 335 | blk.27.ffn_down.weight | 0x1a426ad80 | 0x44cc000 |
| 336 | blk.27.ffn_gate.weight | 0x1a8736d80 | 0x44cc000 |
| 337 | blk.27.ffn_norm.weight | 0x1acc02d80 | 0x3800 |
| 338 | blk.27.ffn_up.weight | 0x1acc06580 | 0x44cc000 |
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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 11 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 12 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 23 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 24 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 35 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 36 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 47 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 48 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 59 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 60 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 71 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 72 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 83 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 84 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 95 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 96 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 107 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 108 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 119 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 120 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 131 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 132 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 143 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 144 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 155 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 156 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q6_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 | Q8_0 |
| 167 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 168 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 179 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 180 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 191 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 192 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 203 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 204 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 215 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 216 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 227 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 228 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 239 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 240 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_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 | Q6_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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 251 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 252 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 263 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 264 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 275 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 276 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 287 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 288 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 299 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 300 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 311 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 312 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 323 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 324 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | Q8_0 |
| 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 | F16 |
| 335 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~68M) 67895296 | 18944 x 3584 x 1 x 1 | Q8_0 |
| 336 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q8_0 |
| 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 | Q8_0 |
- Total elements in blk.27: (~233M) 233057792
- Percentage of total elements: 3.06%