90 KiB
90 KiB
Hammer2.1-7b-Q6_K.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 | 18 |
| 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-Q6_K.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 | 0x1a93d1bc |
| 1 | output_norm.weight | 0x1aee8680 | 0x3800 |
| 2 | token_embd.weight | 0x1aeebe80 | 0xdebe7c4 |
| 3 | blk.0.attn_k.bias | 0x28daa660 | 0x800 |
| 4 | blk.0.attn_k.weight | 0x28daae60 | 0x134000 |
| 5 | blk.0.attn_norm.weight | 0x28edee60 | 0x3800 |
| 6 | blk.0.attn_output.weight | 0x28ee2660 | 0xa0c800 |
| 7 | blk.0.attn_q.bias | 0x298eee60 | 0x3800 |
| 8 | blk.0.attn_q.weight | 0x298f2660 | 0x86c000 |
| 9 | blk.0.attn_v.bias | 0x2a15e660 | 0x800 |
| 10 | blk.0.attn_v.weight | 0x2a15ee60 | 0x16f800 |
| 11 | blk.0.ffn_down.weight | 0x2a2ce660 | 0x44cc000 |
| 12 | blk.0.ffn_gate.weight | 0x2e79a660 | 0x2c84000 |
| 13 | blk.0.ffn_norm.weight | 0x3141e660 | 0x3800 |
| 14 | blk.0.ffn_up.weight | 0x31421e60 | 0x2c84000 |
| 15 | blk.1.attn_k.bias | 0x340a5e60 | 0x800 |
| 16 | blk.1.attn_k.weight | 0x340a6660 | 0x134000 |
| 17 | blk.1.attn_norm.weight | 0x341da660 | 0x3800 |
| 18 | blk.1.attn_output.weight | 0x341dde60 | 0xa0c800 |
| 19 | blk.1.attn_q.bias | 0x34bea660 | 0x3800 |
| 20 | blk.1.attn_q.weight | 0x34bede60 | 0x86c000 |
| 21 | blk.1.attn_v.bias | 0x35459e60 | 0x800 |
| 22 | blk.1.attn_v.weight | 0x3545a660 | 0x16f800 |
| 23 | blk.1.ffn_down.weight | 0x355c9e60 | 0x44cc000 |
| 24 | blk.1.ffn_gate.weight | 0x39a95e60 | 0x351d800 |
| 25 | blk.1.ffn_norm.weight | 0x3cfb3660 | 0x3800 |
| 26 | blk.1.ffn_up.weight | 0x3cfb6e60 | 0x351d800 |
| 27 | blk.2.attn_k.bias | 0x404d4660 | 0x800 |
| 28 | blk.2.attn_k.weight | 0x404d4e60 | 0x134000 |
| 29 | blk.2.attn_norm.weight | 0x40608e60 | 0x3800 |
| 30 | blk.2.attn_output.weight | 0x4060c660 | 0xa0c800 |
| 31 | blk.2.attn_q.bias | 0x41018e60 | 0x3800 |
| 32 | blk.2.attn_q.weight | 0x4101c660 | 0x86c000 |
| 33 | blk.2.attn_v.bias | 0x41888660 | 0x800 |
| 34 | blk.2.attn_v.weight | 0x41888e60 | 0x16f800 |
| 35 | blk.2.ffn_down.weight | 0x419f8660 | 0x44cc000 |
| 36 | blk.2.ffn_gate.weight | 0x45ec4660 | 0x351d800 |
| 37 | blk.2.ffn_norm.weight | 0x493e1e60 | 0x3800 |
| 38 | blk.2.ffn_up.weight | 0x493e5660 | 0x351d800 |
| 39 | blk.3.attn_k.bias | 0x4c902e60 | 0x800 |
| 40 | blk.3.attn_k.weight | 0x4c903660 | 0x134000 |
| 41 | blk.3.attn_norm.weight | 0x4ca37660 | 0x3800 |
| 42 | blk.3.attn_output.weight | 0x4ca3ae60 | 0xa0c800 |
| 43 | blk.3.attn_q.bias | 0x4d447660 | 0x3800 |
| 44 | blk.3.attn_q.weight | 0x4d44ae60 | 0x86c000 |
| 45 | blk.3.attn_v.bias | 0x4dcb6e60 | 0x800 |
| 46 | blk.3.attn_v.weight | 0x4dcb7660 | 0x16f800 |
| 47 | blk.3.ffn_down.weight | 0x4de26e60 | 0x44cc000 |
| 48 | blk.3.ffn_gate.weight | 0x522f2e60 | 0x351d800 |
| 49 | blk.3.ffn_norm.weight | 0x55810660 | 0x3800 |
| 50 | blk.3.ffn_up.weight | 0x55813e60 | 0x351d800 |
| 51 | blk.4.attn_k.bias | 0x58d31660 | 0x800 |
| 52 | blk.4.attn_k.weight | 0x58d31e60 | 0x134000 |
| 53 | blk.4.attn_norm.weight | 0x58e65e60 | 0x3800 |
| 54 | blk.4.attn_output.weight | 0x58e69660 | 0xa0c800 |
| 55 | blk.4.attn_q.bias | 0x59875e60 | 0x3800 |
| 56 | blk.4.attn_q.weight | 0x59879660 | 0x86c000 |
| 57 | blk.4.attn_v.bias | 0x5a0e5660 | 0x800 |
| 58 | blk.4.attn_v.weight | 0x5a0e5e60 | 0x16f800 |
| 59 | blk.4.ffn_down.weight | 0x5a255660 | 0x44cc000 |
| 60 | blk.4.ffn_gate.weight | 0x5e721660 | 0x351d800 |
| 61 | blk.4.ffn_norm.weight | 0x61c3ee60 | 0x3800 |
| 62 | blk.4.ffn_up.weight | 0x61c42660 | 0x351d800 |
| 63 | blk.5.attn_k.bias | 0x6515fe60 | 0x800 |
| 64 | blk.5.attn_k.weight | 0x65160660 | 0x134000 |
| 65 | blk.5.attn_norm.weight | 0x65294660 | 0x3800 |
| 66 | blk.5.attn_output.weight | 0x65297e60 | 0xa0c800 |
| 67 | blk.5.attn_q.bias | 0x65ca4660 | 0x3800 |
| 68 | blk.5.attn_q.weight | 0x65ca7e60 | 0x86c000 |
| 69 | blk.5.attn_v.bias | 0x66513e60 | 0x800 |
| 70 | blk.5.attn_v.weight | 0x66514660 | 0x16f800 |
| 71 | blk.5.ffn_down.weight | 0x66683e60 | 0x44cc000 |
| 72 | blk.5.ffn_gate.weight | 0x6ab4fe60 | 0x351d800 |
| 73 | blk.5.ffn_norm.weight | 0x6e06d660 | 0x3800 |
| 74 | blk.5.ffn_up.weight | 0x6e070e60 | 0x351d800 |
| 75 | blk.6.attn_k.bias | 0x7158e660 | 0x800 |
| 76 | blk.6.attn_k.weight | 0x7158ee60 | 0x134000 |
| 77 | blk.6.attn_norm.weight | 0x716c2e60 | 0x3800 |
| 78 | blk.6.attn_output.weight | 0x716c6660 | 0xa0c800 |
| 79 | blk.6.attn_q.bias | 0x720d2e60 | 0x3800 |
| 80 | blk.6.attn_q.weight | 0x720d6660 | 0x86c000 |
| 81 | blk.6.attn_v.bias | 0x72942660 | 0x800 |
| 82 | blk.6.attn_v.weight | 0x72942e60 | 0x16f800 |
| 83 | blk.6.ffn_down.weight | 0x72ab2660 | 0x44cc000 |
| 84 | blk.6.ffn_gate.weight | 0x76f7e660 | 0x2c84000 |
| 85 | blk.6.ffn_norm.weight | 0x79c02660 | 0x3800 |
| 86 | blk.6.ffn_up.weight | 0x79c05e60 | 0x2c84000 |
| 87 | blk.7.attn_k.bias | 0x7c889e60 | 0x800 |
| 88 | blk.7.attn_k.weight | 0x7c88a660 | 0x134000 |
| 89 | blk.7.attn_norm.weight | 0x7c9be660 | 0x3800 |
| 90 | blk.7.attn_output.weight | 0x7c9c1e60 | 0xa0c800 |
| 91 | blk.7.attn_q.bias | 0x7d3ce660 | 0x3800 |
| 92 | blk.7.attn_q.weight | 0x7d3d1e60 | 0x86c000 |
| 93 | blk.7.attn_v.bias | 0x7dc3de60 | 0x800 |
| 94 | blk.7.attn_v.weight | 0x7dc3e660 | 0x16f800 |
| 95 | blk.7.ffn_down.weight | 0x7ddade60 | 0x44cc000 |
| 96 | blk.7.ffn_gate.weight | 0x82279e60 | 0x2c84000 |
| 97 | blk.7.ffn_norm.weight | 0x84efde60 | 0x3800 |
| 98 | blk.7.ffn_up.weight | 0x84f01660 | 0x2c84000 |
| 99 | blk.8.attn_k.bias | 0x87b85660 | 0x800 |
| 100 | blk.8.attn_k.weight | 0x87b85e60 | 0x134000 |
| 101 | blk.8.attn_norm.weight | 0x87cb9e60 | 0x3800 |
| 102 | blk.8.attn_output.weight | 0x87cbd660 | 0xa0c800 |
| 103 | blk.8.attn_q.bias | 0x886c9e60 | 0x3800 |
| 104 | blk.8.attn_q.weight | 0x886cd660 | 0x86c000 |
| 105 | blk.8.attn_v.bias | 0x88f39660 | 0x800 |
| 106 | blk.8.attn_v.weight | 0x88f39e60 | 0x16f800 |
| 107 | blk.8.ffn_down.weight | 0x890a9660 | 0x44cc000 |
| 108 | blk.8.ffn_gate.weight | 0x8d575660 | 0x2c84000 |
| 109 | blk.8.ffn_norm.weight | 0x901f9660 | 0x3800 |
| 110 | blk.8.ffn_up.weight | 0x901fce60 | 0x2c84000 |
| 111 | blk.9.attn_k.bias | 0x92e80e60 | 0x800 |
| 112 | blk.9.attn_k.weight | 0x92e81660 | 0x134000 |
| 113 | blk.9.attn_norm.weight | 0x92fb5660 | 0x3800 |
| 114 | blk.9.attn_output.weight | 0x92fb8e60 | 0xa0c800 |
| 115 | blk.9.attn_q.bias | 0x939c5660 | 0x3800 |
| 116 | blk.9.attn_q.weight | 0x939c8e60 | 0x86c000 |
| 117 | blk.9.attn_v.bias | 0x94234e60 | 0x800 |
| 118 | blk.9.attn_v.weight | 0x94235660 | 0x16f800 |
| 119 | blk.9.ffn_down.weight | 0x943a4e60 | 0x44cc000 |
| 120 | blk.9.ffn_gate.weight | 0x98870e60 | 0x351d800 |
| 121 | blk.9.ffn_norm.weight | 0x9bd8e660 | 0x3800 |
| 122 | blk.9.ffn_up.weight | 0x9bd91e60 | 0x351d800 |
| 123 | blk.10.attn_k.bias | 0x9f2af660 | 0x800 |
| 124 | blk.10.attn_k.weight | 0x9f2afe60 | 0x134000 |
| 125 | blk.10.attn_norm.weight | 0x9f3e3e60 | 0x3800 |
| 126 | blk.10.attn_output.weight | 0x9f3e7660 | 0xa0c800 |
| 127 | blk.10.attn_q.bias | 0x9fdf3e60 | 0x3800 |
| 128 | blk.10.attn_q.weight | 0x9fdf7660 | 0x86c000 |
| 129 | blk.10.attn_v.bias | 0xa0663660 | 0x800 |
| 130 | blk.10.attn_v.weight | 0xa0663e60 | 0x16f800 |
| 131 | blk.10.ffn_down.weight | 0xa07d3660 | 0x44cc000 |
| 132 | blk.10.ffn_gate.weight | 0xa4c9f660 | 0x2c84000 |
| 133 | blk.10.ffn_norm.weight | 0xa7923660 | 0x3800 |
| 134 | blk.10.ffn_up.weight | 0xa7926e60 | 0x2c84000 |
| 135 | blk.11.attn_k.bias | 0xaa5aae60 | 0x800 |
| 136 | blk.11.attn_k.weight | 0xaa5ab660 | 0x134000 |
| 137 | blk.11.attn_norm.weight | 0xaa6df660 | 0x3800 |
| 138 | blk.11.attn_output.weight | 0xaa6e2e60 | 0xa0c800 |
| 139 | blk.11.attn_q.bias | 0xab0ef660 | 0x3800 |
| 140 | blk.11.attn_q.weight | 0xab0f2e60 | 0x86c000 |
| 141 | blk.11.attn_v.bias | 0xab95ee60 | 0x800 |
| 142 | blk.11.attn_v.weight | 0xab95f660 | 0x16f800 |
| 143 | blk.11.ffn_down.weight | 0xabacee60 | 0x44cc000 |
| 144 | blk.11.ffn_gate.weight | 0xaff9ae60 | 0x2c84000 |
| 145 | blk.11.ffn_norm.weight | 0xb2c1ee60 | 0x3800 |
| 146 | blk.11.ffn_up.weight | 0xb2c22660 | 0x2c84000 |
| 147 | blk.12.attn_k.bias | 0xb58a6660 | 0x800 |
| 148 | blk.12.attn_k.weight | 0xb58a6e60 | 0x134000 |
| 149 | blk.12.attn_norm.weight | 0xb59dae60 | 0x3800 |
| 150 | blk.12.attn_output.weight | 0xb59de660 | 0xa0c800 |
| 151 | blk.12.attn_q.bias | 0xb63eae60 | 0x3800 |
| 152 | blk.12.attn_q.weight | 0xb63ee660 | 0x86c000 |
| 153 | blk.12.attn_v.bias | 0xb6c5a660 | 0x800 |
| 154 | blk.12.attn_v.weight | 0xb6c5ae60 | 0x16f800 |
| 155 | blk.12.ffn_down.weight | 0xb6dca660 | 0x44cc000 |
| 156 | blk.12.ffn_gate.weight | 0xbb296660 | 0x2c84000 |
| 157 | blk.12.ffn_norm.weight | 0xbdf1a660 | 0x3800 |
| 158 | blk.12.ffn_up.weight | 0xbdf1de60 | 0x2c84000 |
| 159 | blk.13.attn_k.bias | 0xc0ba1e60 | 0x800 |
| 160 | blk.13.attn_k.weight | 0xc0ba2660 | 0x134000 |
| 161 | blk.13.attn_norm.weight | 0xc0cd6660 | 0x3800 |
| 162 | blk.13.attn_output.weight | 0xc0cd9e60 | 0xa0c800 |
| 163 | blk.13.attn_q.bias | 0xc16e6660 | 0x3800 |
| 164 | blk.13.attn_q.weight | 0xc16e9e60 | 0x86c000 |
| 165 | blk.13.attn_v.bias | 0xc1f55e60 | 0x800 |
| 166 | blk.13.attn_v.weight | 0xc1f56660 | 0x16f800 |
| 167 | blk.13.ffn_down.weight | 0xc20c5e60 | 0x44cc000 |
| 168 | blk.13.ffn_gate.weight | 0xc6591e60 | 0x2c84000 |
| 169 | blk.13.ffn_norm.weight | 0xc9215e60 | 0x3800 |
| 170 | blk.13.ffn_up.weight | 0xc9219660 | 0x2c84000 |
| 171 | blk.14.attn_k.bias | 0xcbe9d660 | 0x800 |
| 172 | blk.14.attn_k.weight | 0xcbe9de60 | 0x16f800 |
| 173 | blk.14.attn_norm.weight | 0xcc00d660 | 0x3800 |
| 174 | blk.14.attn_output.weight | 0xcc010e60 | 0xa0c800 |
| 175 | blk.14.attn_q.bias | 0xcca1d660 | 0x3800 |
| 176 | blk.14.attn_q.weight | 0xcca20e60 | 0xa0c800 |
| 177 | blk.14.attn_v.bias | 0xcd42d660 | 0x800 |
| 178 | blk.14.attn_v.weight | 0xcd42de60 | 0x1dc000 |
| 179 | blk.14.ffn_down.weight | 0xcd609e60 | 0x44cc000 |
| 180 | blk.14.ffn_gate.weight | 0xd1ad5e60 | 0x2c84000 |
| 181 | blk.14.ffn_norm.weight | 0xd4759e60 | 0x3800 |
| 182 | blk.14.ffn_up.weight | 0xd475d660 | 0x2c84000 |
| 183 | blk.15.attn_k.bias | 0xd73e1660 | 0x800 |
| 184 | blk.15.attn_k.weight | 0xd73e1e60 | 0x16f800 |
| 185 | blk.15.attn_norm.weight | 0xd7551660 | 0x3800 |
| 186 | blk.15.attn_output.weight | 0xd7554e60 | 0xa0c800 |
| 187 | blk.15.attn_q.bias | 0xd7f61660 | 0x3800 |
| 188 | blk.15.attn_q.weight | 0xd7f64e60 | 0xa0c800 |
| 189 | blk.15.attn_v.bias | 0xd8971660 | 0x800 |
| 190 | blk.15.attn_v.weight | 0xd8971e60 | 0x1dc000 |
| 191 | blk.15.ffn_down.weight | 0xd8b4de60 | 0x44cc000 |
| 192 | blk.15.ffn_gate.weight | 0xdd019e60 | 0x2c84000 |
| 193 | blk.15.ffn_norm.weight | 0xdfc9de60 | 0x3800 |
| 194 | blk.15.ffn_up.weight | 0xdfca1660 | 0x2c84000 |
| 195 | blk.16.attn_k.bias | 0xe2925660 | 0x800 |
| 196 | blk.16.attn_k.weight | 0xe2925e60 | 0x16f800 |
| 197 | blk.16.attn_norm.weight | 0xe2a95660 | 0x3800 |
| 198 | blk.16.attn_output.weight | 0xe2a98e60 | 0xa0c800 |
| 199 | blk.16.attn_q.bias | 0xe34a5660 | 0x3800 |
| 200 | blk.16.attn_q.weight | 0xe34a8e60 | 0xa0c800 |
| 201 | blk.16.attn_v.bias | 0xe3eb5660 | 0x800 |
| 202 | blk.16.attn_v.weight | 0xe3eb5e60 | 0x1dc000 |
| 203 | blk.16.ffn_down.weight | 0xe4091e60 | 0x44cc000 |
| 204 | blk.16.ffn_gate.weight | 0xe855de60 | 0x2c84000 |
| 205 | blk.16.ffn_norm.weight | 0xeb1e1e60 | 0x3800 |
| 206 | blk.16.ffn_up.weight | 0xeb1e5660 | 0x2c84000 |
| 207 | blk.17.attn_k.bias | 0xede69660 | 0x800 |
| 208 | blk.17.attn_k.weight | 0xede69e60 | 0x16f800 |
| 209 | blk.17.attn_norm.weight | 0xedfd9660 | 0x3800 |
| 210 | blk.17.attn_output.weight | 0xedfdce60 | 0xa0c800 |
| 211 | blk.17.attn_q.bias | 0xee9e9660 | 0x3800 |
| 212 | blk.17.attn_q.weight | 0xee9ece60 | 0xa0c800 |
| 213 | blk.17.attn_v.bias | 0xef3f9660 | 0x800 |
| 214 | blk.17.attn_v.weight | 0xef3f9e60 | 0x1dc000 |
| 215 | blk.17.ffn_down.weight | 0xef5d5e60 | 0x44cc000 |
| 216 | blk.17.ffn_gate.weight | 0xf3aa1e60 | 0x2c84000 |
| 217 | blk.17.ffn_norm.weight | 0xf6725e60 | 0x3800 |
| 218 | blk.17.ffn_up.weight | 0xf6729660 | 0x2c84000 |
| 219 | blk.18.attn_k.bias | 0xf93ad660 | 0x800 |
| 220 | blk.18.attn_k.weight | 0xf93ade60 | 0x16f800 |
| 221 | blk.18.attn_norm.weight | 0xf951d660 | 0x3800 |
| 222 | blk.18.attn_output.weight | 0xf9520e60 | 0xa0c800 |
| 223 | blk.18.attn_q.bias | 0xf9f2d660 | 0x3800 |
| 224 | blk.18.attn_q.weight | 0xf9f30e60 | 0xa0c800 |
| 225 | blk.18.attn_v.bias | 0xfa93d660 | 0x800 |
| 226 | blk.18.attn_v.weight | 0xfa93de60 | 0x1dc000 |
| 227 | blk.18.ffn_down.weight | 0xfab19e60 | 0x44cc000 |
| 228 | blk.18.ffn_gate.weight | 0xfefe5e60 | 0x2c84000 |
| 229 | blk.18.ffn_norm.weight | 0x101c69e60 | 0x3800 |
| 230 | blk.18.ffn_up.weight | 0x101c6d660 | 0x2c84000 |
| 231 | blk.19.attn_k.bias | 0x1048f1660 | 0x800 |
| 232 | blk.19.attn_k.weight | 0x1048f1e60 | 0x16f800 |
| 233 | blk.19.attn_norm.weight | 0x104a61660 | 0x3800 |
| 234 | blk.19.attn_output.weight | 0x104a64e60 | 0xa0c800 |
| 235 | blk.19.attn_q.bias | 0x105471660 | 0x3800 |
| 236 | blk.19.attn_q.weight | 0x105474e60 | 0xa0c800 |
| 237 | blk.19.attn_v.bias | 0x105e81660 | 0x800 |
| 238 | blk.19.attn_v.weight | 0x105e81e60 | 0x1dc000 |
| 239 | blk.19.ffn_down.weight | 0x10605de60 | 0x44cc000 |
| 240 | blk.19.ffn_gate.weight | 0x10a529e60 | 0x2c84000 |
| 241 | blk.19.ffn_norm.weight | 0x10d1ade60 | 0x3800 |
| 242 | blk.19.ffn_up.weight | 0x10d1b1660 | 0x2c84000 |
| 243 | blk.20.attn_k.bias | 0x10fe35660 | 0x800 |
| 244 | blk.20.attn_k.weight | 0x10fe35e60 | 0x16f800 |
| 245 | blk.20.attn_norm.weight | 0x10ffa5660 | 0x3800 |
| 246 | blk.20.attn_output.weight | 0x10ffa8e60 | 0xa0c800 |
| 247 | blk.20.attn_q.bias | 0x1109b5660 | 0x3800 |
| 248 | blk.20.attn_q.weight | 0x1109b8e60 | 0xa0c800 |
| 249 | blk.20.attn_v.bias | 0x1113c5660 | 0x800 |
| 250 | blk.20.attn_v.weight | 0x1113c5e60 | 0x1dc000 |
| 251 | blk.20.ffn_down.weight | 0x1115a1e60 | 0x44cc000 |
| 252 | blk.20.ffn_gate.weight | 0x115a6de60 | 0x351d800 |
| 253 | blk.20.ffn_norm.weight | 0x118f8b660 | 0x3800 |
| 254 | blk.20.ffn_up.weight | 0x118f8ee60 | 0x351d800 |
| 255 | blk.21.attn_k.bias | 0x11c4ac660 | 0x800 |
| 256 | blk.21.attn_k.weight | 0x11c4ace60 | 0x16f800 |
| 257 | blk.21.attn_norm.weight | 0x11c61c660 | 0x3800 |
| 258 | blk.21.attn_output.weight | 0x11c61fe60 | 0xa0c800 |
| 259 | blk.21.attn_q.bias | 0x11d02c660 | 0x3800 |
| 260 | blk.21.attn_q.weight | 0x11d02fe60 | 0xa0c800 |
| 261 | blk.21.attn_v.bias | 0x11da3c660 | 0x800 |
| 262 | blk.21.attn_v.weight | 0x11da3ce60 | 0x1dc000 |
| 263 | blk.21.ffn_down.weight | 0x11dc18e60 | 0x44cc000 |
| 264 | blk.21.ffn_gate.weight | 0x1220e4e60 | 0x351d800 |
| 265 | blk.21.ffn_norm.weight | 0x125602660 | 0x3800 |
| 266 | blk.21.ffn_up.weight | 0x125605e60 | 0x351d800 |
| 267 | blk.22.attn_k.bias | 0x128b23660 | 0x800 |
| 268 | blk.22.attn_k.weight | 0x128b23e60 | 0x16f800 |
| 269 | blk.22.attn_norm.weight | 0x128c93660 | 0x3800 |
| 270 | blk.22.attn_output.weight | 0x128c96e60 | 0xa0c800 |
| 271 | blk.22.attn_q.bias | 0x1296a3660 | 0x3800 |
| 272 | blk.22.attn_q.weight | 0x1296a6e60 | 0xa0c800 |
| 273 | blk.22.attn_v.bias | 0x12a0b3660 | 0x800 |
| 274 | blk.22.attn_v.weight | 0x12a0b3e60 | 0x1dc000 |
| 275 | blk.22.ffn_down.weight | 0x12a28fe60 | 0x44cc000 |
| 276 | blk.22.ffn_gate.weight | 0x12e75be60 | 0x351d800 |
| 277 | blk.22.ffn_norm.weight | 0x131c79660 | 0x3800 |
| 278 | blk.22.ffn_up.weight | 0x131c7ce60 | 0x351d800 |
| 279 | blk.23.attn_k.bias | 0x13519a660 | 0x800 |
| 280 | blk.23.attn_k.weight | 0x13519ae60 | 0x16f800 |
| 281 | blk.23.attn_norm.weight | 0x13530a660 | 0x3800 |
| 282 | blk.23.attn_output.weight | 0x13530de60 | 0xa0c800 |
| 283 | blk.23.attn_q.bias | 0x135d1a660 | 0x3800 |
| 284 | blk.23.attn_q.weight | 0x135d1de60 | 0xa0c800 |
| 285 | blk.23.attn_v.bias | 0x13672a660 | 0x800 |
| 286 | blk.23.attn_v.weight | 0x13672ae60 | 0x1dc000 |
| 287 | blk.23.ffn_down.weight | 0x136906e60 | 0x44cc000 |
| 288 | blk.23.ffn_gate.weight | 0x13add2e60 | 0x351d800 |
| 289 | blk.23.ffn_norm.weight | 0x13e2f0660 | 0x3800 |
| 290 | blk.23.ffn_up.weight | 0x13e2f3e60 | 0x351d800 |
| 291 | blk.24.attn_k.bias | 0x141811660 | 0x800 |
| 292 | blk.24.attn_k.weight | 0x141811e60 | 0x16f800 |
| 293 | blk.24.attn_norm.weight | 0x141981660 | 0x3800 |
| 294 | blk.24.attn_output.weight | 0x141984e60 | 0xa0c800 |
| 295 | blk.24.attn_q.bias | 0x142391660 | 0x3800 |
| 296 | blk.24.attn_q.weight | 0x142394e60 | 0xa0c800 |
| 297 | blk.24.attn_v.bias | 0x142da1660 | 0x800 |
| 298 | blk.24.attn_v.weight | 0x142da1e60 | 0x1dc000 |
| 299 | blk.24.ffn_down.weight | 0x142f7de60 | 0x44cc000 |
| 300 | blk.24.ffn_gate.weight | 0x147449e60 | 0x351d800 |
| 301 | blk.24.ffn_norm.weight | 0x14a967660 | 0x3800 |
| 302 | blk.24.ffn_up.weight | 0x14a96ae60 | 0x351d800 |
| 303 | blk.25.attn_k.bias | 0x14de88660 | 0x800 |
| 304 | blk.25.attn_k.weight | 0x14de88e60 | 0x16f800 |
| 305 | blk.25.attn_norm.weight | 0x14dff8660 | 0x3800 |
| 306 | blk.25.attn_output.weight | 0x14dffbe60 | 0xa0c800 |
| 307 | blk.25.attn_q.bias | 0x14ea08660 | 0x3800 |
| 308 | blk.25.attn_q.weight | 0x14ea0be60 | 0xa0c800 |
| 309 | blk.25.attn_v.bias | 0x14f418660 | 0x800 |
| 310 | blk.25.attn_v.weight | 0x14f418e60 | 0x1dc000 |
| 311 | blk.25.ffn_down.weight | 0x14f5f4e60 | 0x44cc000 |
| 312 | blk.25.ffn_gate.weight | 0x153ac0e60 | 0x351d800 |
| 313 | blk.25.ffn_norm.weight | 0x156fde660 | 0x3800 |
| 314 | blk.25.ffn_up.weight | 0x156fe1e60 | 0x351d800 |
| 315 | blk.26.attn_k.bias | 0x15a4ff660 | 0x800 |
| 316 | blk.26.attn_k.weight | 0x15a4ffe60 | 0x16f800 |
| 317 | blk.26.attn_norm.weight | 0x15a66f660 | 0x3800 |
| 318 | blk.26.attn_output.weight | 0x15a672e60 | 0xa0c800 |
| 319 | blk.26.attn_q.bias | 0x15b07f660 | 0x3800 |
| 320 | blk.26.attn_q.weight | 0x15b082e60 | 0xa0c800 |
| 321 | blk.26.attn_v.bias | 0x15ba8f660 | 0x800 |
| 322 | blk.26.attn_v.weight | 0x15ba8fe60 | 0x1dc000 |
| 323 | blk.26.ffn_down.weight | 0x15bc6be60 | 0x44cc000 |
| 324 | blk.26.ffn_gate.weight | 0x160137e60 | 0x351d800 |
| 325 | blk.26.ffn_norm.weight | 0x163655660 | 0x3800 |
| 326 | blk.26.ffn_up.weight | 0x163658e60 | 0x351d800 |
| 327 | blk.27.attn_k.bias | 0x166b76660 | 0x800 |
| 328 | blk.27.attn_k.weight | 0x166b76e60 | 0x16f800 |
| 329 | blk.27.attn_norm.weight | 0x166ce6660 | 0x3800 |
| 330 | blk.27.attn_output.weight | 0x166ce9e60 | 0xa0c800 |
| 331 | blk.27.attn_q.bias | 0x1676f6660 | 0x3800 |
| 332 | blk.27.attn_q.weight | 0x1676f9e60 | 0xa0c800 |
| 333 | blk.27.attn_v.bias | 0x168106660 | 0x800 |
| 334 | blk.27.attn_v.weight | 0x168106e60 | 0x1dc000 |
| 335 | blk.27.ffn_down.weight | 0x1682e2e60 | 0x44cc000 |
| 336 | blk.27.ffn_gate.weight | 0x16c7aee60 | 0x351d800 |
| 337 | blk.27.ffn_norm.weight | 0x16fccc660 | 0x3800 |
| 338 | blk.27.ffn_up.weight | 0x16fccfe60 | 0x351d800 |
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 | Q6_K |
| 1 | output_norm.weight | Output Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 2 | token_embd.weight | Token Embedding (W) | (~544M) 543567360 | 3584 x 151665 x 1 x 1 | Q3_K |
- Total elements in base: ( ~1B) 1087138304
- Percentage of total elements: 14.28%
Block 0 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 3 | blk.0.attn_k.bias | Block 0 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 4 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q5_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 | Q6_K |
| 7 | blk.0.attn_q.bias | Block 0 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 8 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q5_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 | Q5_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 | Q5_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 | Q6_K |
| 19 | blk.1.attn_q.bias | Block 1 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 20 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q6_K |
| 25 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 26 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.1: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 2 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 27 | blk.2.attn_k.bias | Block 2 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 28 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q5_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 | Q6_K |
| 31 | blk.2.attn_q.bias | Block 2 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 32 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q6_K |
| 37 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 38 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.2: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 3 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 39 | blk.3.attn_k.bias | Block 3 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 40 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q5_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 | Q6_K |
| 43 | blk.3.attn_q.bias | Block 3 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 44 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q6_K |
| 49 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 50 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.3: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 4 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 51 | blk.4.attn_k.bias | Block 4 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 52 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q5_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 | Q6_K |
| 55 | blk.4.attn_q.bias | Block 4 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 56 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q6_K |
| 61 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 62 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.4: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 5 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 63 | blk.5.attn_k.bias | Block 5 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 64 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q5_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 | Q6_K |
| 67 | blk.5.attn_q.bias | Block 5 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 68 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q6_K |
| 73 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 74 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.5: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 6 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 75 | blk.6.attn_k.bias | Block 6 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 76 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q5_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 | Q6_K |
| 79 | blk.6.attn_q.bias | Block 6 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 80 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q5_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 | Q5_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 | Q5_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 | Q6_K |
| 91 | blk.7.attn_q.bias | Block 7 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 92 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q5_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 | Q5_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 | Q5_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 | Q6_K |
| 103 | blk.8.attn_q.bias | Block 8 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 104 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q5_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 | Q5_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 | Q5_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 | Q6_K |
| 115 | blk.9.attn_q.bias | Block 9 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 116 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q6_K |
| 121 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 122 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.9: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 10 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 123 | blk.10.attn_k.bias | Block 10 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 124 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q5_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 | Q6_K |
| 127 | blk.10.attn_q.bias | Block 10 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 128 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q5_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 | Q5_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 | Q5_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 | Q6_K |
| 139 | blk.11.attn_q.bias | Block 11 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 140 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q5_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 | Q5_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 | Q5_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 | Q6_K |
| 151 | blk.12.attn_q.bias | Block 12 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 152 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q5_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 | Q5_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 | Q5_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 | Q6_K |
| 163 | blk.13.attn_q.bias | Block 13 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 164 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q5_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 | Q6_K |
| 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 | Q5_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 | Q5_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 | Q6_K |
| 173 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 174 | blk.14.attn_output.weight | Block 14 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 175 | blk.14.attn_q.bias | Block 14 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 176 | blk.14.attn_q.weight | Block 14 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 177 | blk.14.attn_v.bias | Block 14 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 178 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q5_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 | Q5_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 | Q6_K |
| 185 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 186 | blk.15.attn_output.weight | Block 15 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 187 | blk.15.attn_q.bias | Block 15 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 188 | blk.15.attn_q.weight | Block 15 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 189 | blk.15.attn_v.bias | Block 15 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 190 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q5_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 | Q5_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 | Q6_K |
| 197 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 198 | blk.16.attn_output.weight | Block 16 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 199 | blk.16.attn_q.bias | Block 16 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 200 | blk.16.attn_q.weight | Block 16 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 201 | blk.16.attn_v.bias | Block 16 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 202 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q5_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 | Q5_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 | Q6_K |
| 209 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 210 | blk.17.attn_output.weight | Block 17 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 211 | blk.17.attn_q.bias | Block 17 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 212 | blk.17.attn_q.weight | Block 17 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 213 | blk.17.attn_v.bias | Block 17 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 214 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q5_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 | Q5_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 | Q6_K |
| 221 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 222 | blk.18.attn_output.weight | Block 18 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 223 | blk.18.attn_q.bias | Block 18 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 224 | blk.18.attn_q.weight | Block 18 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 225 | blk.18.attn_v.bias | Block 18 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 226 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q5_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 | Q5_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 | Q6_K |
| 233 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 234 | blk.19.attn_output.weight | Block 19 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 235 | blk.19.attn_q.bias | Block 19 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 236 | blk.19.attn_q.weight | Block 19 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 237 | blk.19.attn_v.bias | Block 19 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 238 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q5_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 | Q5_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 | Q6_K |
| 245 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 246 | blk.20.attn_output.weight | Block 20 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 247 | blk.20.attn_q.bias | Block 20 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 248 | blk.20.attn_q.weight | Block 20 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 249 | blk.20.attn_v.bias | Block 20 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 250 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q6_K |
| 253 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 254 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.20: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 21 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 255 | blk.21.attn_k.bias | Block 21 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 256 | blk.21.attn_k.weight | Block 21 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q6_K |
| 257 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 258 | blk.21.attn_output.weight | Block 21 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 259 | blk.21.attn_q.bias | Block 21 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 260 | blk.21.attn_q.weight | Block 21 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 261 | blk.21.attn_v.bias | Block 21 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 262 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q6_K |
| 265 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 266 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.21: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 22 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 267 | blk.22.attn_k.bias | Block 22 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 268 | blk.22.attn_k.weight | Block 22 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q6_K |
| 269 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 270 | blk.22.attn_output.weight | Block 22 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 271 | blk.22.attn_q.bias | Block 22 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 272 | blk.22.attn_q.weight | Block 22 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 273 | blk.22.attn_v.bias | Block 22 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 274 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q6_K |
| 277 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 278 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.22: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 23 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 279 | blk.23.attn_k.bias | Block 23 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 280 | blk.23.attn_k.weight | Block 23 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q6_K |
| 281 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 282 | blk.23.attn_output.weight | Block 23 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 283 | blk.23.attn_q.bias | Block 23 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 284 | blk.23.attn_q.weight | Block 23 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 285 | blk.23.attn_v.bias | Block 23 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 286 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q6_K |
| 289 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 290 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.23: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 24 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 291 | blk.24.attn_k.bias | Block 24 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 292 | blk.24.attn_k.weight | Block 24 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q6_K |
| 293 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 294 | blk.24.attn_output.weight | Block 24 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 295 | blk.24.attn_q.bias | Block 24 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 296 | blk.24.attn_q.weight | Block 24 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 297 | blk.24.attn_v.bias | Block 24 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 298 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q6_K |
| 301 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 302 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.24: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 25 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 303 | blk.25.attn_k.bias | Block 25 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 304 | blk.25.attn_k.weight | Block 25 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q6_K |
| 305 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 306 | blk.25.attn_output.weight | Block 25 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 307 | blk.25.attn_q.bias | Block 25 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 308 | blk.25.attn_q.weight | Block 25 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 309 | blk.25.attn_v.bias | Block 25 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 310 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q6_K |
| 313 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 314 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.25: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 26 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 315 | blk.26.attn_k.bias | Block 26 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 316 | blk.26.attn_k.weight | Block 26 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q6_K |
| 317 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 318 | blk.26.attn_output.weight | Block 26 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 319 | blk.26.attn_q.bias | Block 26 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 320 | blk.26.attn_q.weight | Block 26 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 321 | blk.26.attn_v.bias | Block 26 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 322 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q6_K |
| 325 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 326 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.26: (~233M) 233057792
- Percentage of total elements: 3.06%
Block 27 Tensor Group : ~233M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 327 | blk.27.attn_k.bias | Block 27 Attention Key (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 328 | blk.27.attn_k.weight | Block 27 Attention Key (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q6_K |
| 329 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 330 | blk.27.attn_output.weight | Block 27 Attention Output (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 331 | blk.27.attn_q.bias | Block 27 Attention Query (B) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 332 | blk.27.attn_q.weight | Block 27 Attention Query (W) | (~13M) 12845056 | 3584 x 3584 x 1 x 1 | Q6_K |
| 333 | blk.27.attn_v.bias | Block 27 Attention Value (B) | ( 512) 512 | 512 x 1 x 1 x 1 | F32 |
| 334 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~2M) 1835008 | 3584 x 512 x 1 x 1 | Q8_0 |
| 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 | Q6_K |
| 337 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~4K) 3584 | 3584 x 1 x 1 x 1 | F32 |
| 338 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~68M) 67895296 | 3584 x 18944 x 1 x 1 | Q6_K |
- Total elements in blk.27: (~233M) 233057792
- Percentage of total elements: 3.06%