Mistral-Small-3.2-24B-Instruct-2506-pruned-GGUF
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scores
/Mistral-Small-3.2-24B-Instruct-2506-pruned-Q6_K.md
Mistral-Small-3.2-24B-Instruct-pruned-Q6_K.gguf - GGUF Internal File Dump
- Endian: LITTLE endian
Key Value Metadata Store
There are 49 key-value pairs in this file
| POS | TYPE | Count | Key | Value |
|---|---|---|---|---|
| 1 | UINT32 | 1 | GGUF.version | 3 |
| 2 | UINT64 | 1 | GGUF.tensor_count | 345 |
| 3 | UINT64 | 1 | GGUF.kv_count | 46 |
| 4 | STRING | 1 | general.architecture | llama |
| 5 | STRING | 1 | general.type | model |
| 6 | STRING | 1 | general.name | Mistral Small 3.2 24B Instruct 2506 |
| 7 | STRING | 1 | general.version | 2506 |
| 8 | STRING | 1 | general.finetune | Instruct |
| 9 | STRING | 1 | general.basename | Mistral-Small-3.2 |
| 10 | STRING | 1 | general.size_label | 24B |
| 11 | STRING | 1 | general.license | apache-2.0 |
| 12 | UINT32 | 1 | general.base_model.count | 1 |
| 13 | STRING | 1 | general.base_model.0.name | Mistral Small 3.1 24B Base 2503 |
| 14 | STRING | 1 | general.base_model.0.version | 2503 |
| 15 | STRING | 1 | general.base_model.0.organization | Mistralai |
| 16 | STRING | 1 | general.base_model.0.repo_url | https://huggingface.co/mistral...istral-Small-3.1-24B-Base-2503 |
| 17 | [STRING] | 1 | general.tags | [ image-text-to-text ] |
| 18 | [STRING] | 24 | general.languages | [ en, fr, de, es, pt, ... ] |
| 19 | UINT32 | 1 | llama.context_length | 131072 |
| 20 | UINT32 | 1 | llama.embedding_length | 5120 |
| 21 | UINT32 | 1 | llama.feed_forward_length | 32768 |
| 22 | UINT32 | 1 | llama.attention.head_count | 32 |
| 23 | UINT32 | 1 | llama.attention.head_count_kv | 8 |
| 24 | FLOAT32 | 1 | llama.rope.freq_base | 1000000000.0 |
| 25 | FLOAT32 | 1 | llama.attention.layer_norm_rms_epsilon | 1e-05 |
| 26 | UINT32 | 1 | llama.attention.key_length | 128 |
| 27 | UINT32 | 1 | llama.attention.value_length | 128 |
| 28 | UINT32 | 1 | llama.vocab_size | 131072 |
| 29 | UINT32 | 1 | llama.rope.dimension_count | 128 |
| 30 | STRING | 1 | tokenizer.ggml.model | gpt2 |
| 31 | STRING | 1 | tokenizer.ggml.pre | tekken |
| 32 | [STRING] | 131072 | tokenizer.ggml.tokens | [ <unk>, <s>, </s>, [INST], [/INST], ... ] |
| 33 | [INT32] | 131072 | tokenizer.ggml.token_type | [ 3, 3, 3, 3, 3, 3, 3, ... ] |
| 34 | [STRING] | 269443 | tokenizer.ggml.merges | [ Ġ Ġ, Ġ t, e r, i n, Ġ ĠĠĠ, ... ] |
| 35 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 1 |
| 36 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 2 |
| 37 | UINT32 | 1 | tokenizer.ggml.unknown_token_id | 0 |
| 38 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 11 |
| 39 | BOOL | 1 | tokenizer.ggml.add_bos_token | True |
| 40 | BOOL | 1 | tokenizer.ggml.add_sep_token | False |
| 41 | BOOL | 1 | tokenizer.ggml.add_eos_token | False |
| 42 | BOOL | 1 | tokenizer.ggml.add_space_prefix | False |
| 43 | UINT32 | 1 | llama.block_count | 38 |
| 44 | UINT32 | 1 | general.quantization_version | 2 |
| 45 | UINT32 | 1 | general.file_type | 18 |
| 46 | STRING | 1 | quantize.imatrix.file | ./imatrix/imatrix-Mistral-Smal...24B-Instruct-pruned-medium.dat |
| 47 | STRING | 1 | quantize.imatrix.dataset | ../../datasets/imatrix/text_eur_medium.txt |
| 48 | UINT32 | 1 | quantize.imatrix.entries_count | 266 |
| 49 | UINT32 | 1 | quantize.imatrix.chunks_count | 1778 |
Tensors Overview ~22B Elements
Total number of elements in all tensors: 22460892160 Elements
- Mistral-Small-3.2-24B-Instruct-pruned-Q6_K.gguf - GGUF Internal File Dump
- Key Value Metadata Store
- Tensors Overview ~22B Elements
- Tensor Data Offset
- Base Tensor Group : ~1B Elements
- Block 0 Tensor Group : ~556M Elements
- Block 1 Tensor Group : ~556M Elements
- Block 2 Tensor Group : ~556M Elements
- Block 3 Tensor Group : ~556M Elements
- Block 4 Tensor Group : ~556M Elements
- Block 5 Tensor Group : ~556M Elements
- Block 6 Tensor Group : ~556M Elements
- Block 7 Tensor Group : ~556M Elements
- Block 8 Tensor Group : ~556M Elements
- Block 9 Tensor Group : ~556M Elements
- Block 10 Tensor Group : ~556M Elements
- Block 11 Tensor Group : ~556M Elements
- Block 12 Tensor Group : ~556M Elements
- Block 13 Tensor Group : ~556M Elements
- Block 14 Tensor Group : ~556M Elements
- Block 15 Tensor Group : ~556M Elements
- Block 16 Tensor Group : ~556M Elements
- Block 17 Tensor Group : ~556M Elements
- Block 18 Tensor Group : ~556M Elements
- Block 19 Tensor Group : ~556M Elements
- Block 20 Tensor Group : ~556M Elements
- Block 21 Tensor Group : ~556M Elements
- Block 22 Tensor Group : ~556M Elements
- Block 23 Tensor Group : ~556M Elements
- Block 24 Tensor Group : ~556M Elements
- Block 25 Tensor Group : ~556M Elements
- Block 26 Tensor Group : ~556M Elements
- Block 27 Tensor Group : ~556M Elements
- Block 28 Tensor Group : ~556M Elements
- Block 29 Tensor Group : ~556M Elements
- Block 30 Tensor Group : ~556M Elements
- Block 31 Tensor Group : ~556M Elements
- Block 32 Tensor Group : ~556M Elements
- Block 33 Tensor Group : ~556M Elements
- Block 34 Tensor Group : ~556M Elements
- Block 35 Tensor Group : ~556M Elements
- Block 36 Tensor Group : ~556M Elements
- Block 37 Tensor Group : ~556M 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 | 0x7841e0 | 0x20d00000 |
| 1 | output_norm.weight | 0x214841e0 | 0x5000 |
| 2 | token_embd.weight | 0x214891e0 | 0x11300000 |
| 3 | blk.0.attn_k.weight | 0x327891e0 | 0x41a000 |
| 4 | blk.0.attn_norm.weight | 0x32ba31e0 | 0x5000 |
| 5 | blk.0.attn_output.weight | 0x32ba81e0 | 0x1068000 |
| 6 | blk.0.attn_q.weight | 0x33c101e0 | 0x1068000 |
| 7 | blk.0.attn_v.weight | 0x34c781e0 | 0x550000 |
| 8 | blk.0.ffn_down.weight | 0x351c81e0 | 0xaa00000 |
| 9 | blk.0.ffn_gate.weight | 0x3fbc81e0 | 0x8340000 |
| 10 | blk.0.ffn_norm.weight | 0x47f081e0 | 0x5000 |
| 11 | blk.0.ffn_up.weight | 0x47f0d1e0 | 0x8340000 |
| 12 | blk.1.attn_k.weight | 0x5024d1e0 | 0x41a000 |
| 13 | blk.1.attn_norm.weight | 0x506671e0 | 0x5000 |
| 14 | blk.1.attn_output.weight | 0x5066c1e0 | 0x1068000 |
| 15 | blk.1.attn_q.weight | 0x516d41e0 | 0x1068000 |
| 16 | blk.1.attn_v.weight | 0x5273c1e0 | 0x550000 |
| 17 | blk.1.ffn_down.weight | 0x52c8c1e0 | 0xaa00000 |
| 18 | blk.1.ffn_gate.weight | 0x5d68c1e0 | 0x8340000 |
| 19 | blk.1.ffn_norm.weight | 0x659cc1e0 | 0x5000 |
| 20 | blk.1.ffn_up.weight | 0x659d11e0 | 0x8340000 |
| 21 | blk.2.attn_k.weight | 0x6dd111e0 | 0x41a000 |
| 22 | blk.2.attn_norm.weight | 0x6e12b1e0 | 0x5000 |
| 23 | blk.2.attn_output.weight | 0x6e1301e0 | 0x1068000 |
| 24 | blk.2.attn_q.weight | 0x6f1981e0 | 0x1068000 |
| 25 | blk.2.attn_v.weight | 0x702001e0 | 0x550000 |
| 26 | blk.2.ffn_down.weight | 0x707501e0 | 0xaa00000 |
| 27 | blk.2.ffn_gate.weight | 0x7b1501e0 | 0x8340000 |
| 28 | blk.2.ffn_norm.weight | 0x834901e0 | 0x5000 |
| 29 | blk.2.ffn_up.weight | 0x834951e0 | 0x8340000 |
| 30 | blk.3.attn_k.weight | 0x8b7d51e0 | 0x41a000 |
| 31 | blk.3.attn_norm.weight | 0x8bbef1e0 | 0x5000 |
| 32 | blk.3.attn_output.weight | 0x8bbf41e0 | 0x1068000 |
| 33 | blk.3.attn_q.weight | 0x8cc5c1e0 | 0x1068000 |
| 34 | blk.3.attn_v.weight | 0x8dcc41e0 | 0x550000 |
| 35 | blk.3.ffn_down.weight | 0x8e2141e0 | 0xaa00000 |
| 36 | blk.3.ffn_gate.weight | 0x98c141e0 | 0x8340000 |
| 37 | blk.3.ffn_norm.weight | 0xa0f541e0 | 0x5000 |
| 38 | blk.3.ffn_up.weight | 0xa0f591e0 | 0x8340000 |
| 39 | blk.4.attn_k.weight | 0xa92991e0 | 0x41a000 |
| 40 | blk.4.attn_norm.weight | 0xa96b31e0 | 0x5000 |
| 41 | blk.4.attn_output.weight | 0xa96b81e0 | 0x1068000 |
| 42 | blk.4.attn_q.weight | 0xaa7201e0 | 0x1068000 |
| 43 | blk.4.attn_v.weight | 0xab7881e0 | 0x550000 |
| 44 | blk.4.ffn_down.weight | 0xabcd81e0 | 0xaa00000 |
| 45 | blk.4.ffn_gate.weight | 0xb66d81e0 | 0x8340000 |
| 46 | blk.4.ffn_norm.weight | 0xbea181e0 | 0x5000 |
| 47 | blk.4.ffn_up.weight | 0xbea1d1e0 | 0x8340000 |
| 48 | blk.5.attn_k.weight | 0xc6d5d1e0 | 0x41a000 |
| 49 | blk.5.attn_norm.weight | 0xc71771e0 | 0x5000 |
| 50 | blk.5.attn_output.weight | 0xc717c1e0 | 0x1068000 |
| 51 | blk.5.attn_q.weight | 0xc81e41e0 | 0x1068000 |
| 52 | blk.5.attn_v.weight | 0xc924c1e0 | 0x550000 |
| 53 | blk.5.ffn_down.weight | 0xc979c1e0 | 0xaa00000 |
| 54 | blk.5.ffn_gate.weight | 0xd419c1e0 | 0x8340000 |
| 55 | blk.5.ffn_norm.weight | 0xdc4dc1e0 | 0x5000 |
| 56 | blk.5.ffn_up.weight | 0xdc4e11e0 | 0x8340000 |
| 57 | blk.6.attn_k.weight | 0xe48211e0 | 0x41a000 |
| 58 | blk.6.attn_norm.weight | 0xe4c3b1e0 | 0x5000 |
| 59 | blk.6.attn_output.weight | 0xe4c401e0 | 0x1068000 |
| 60 | blk.6.attn_q.weight | 0xe5ca81e0 | 0x1068000 |
| 61 | blk.6.attn_v.weight | 0xe6d101e0 | 0x550000 |
| 62 | blk.6.ffn_down.weight | 0xe72601e0 | 0xaa00000 |
| 63 | blk.6.ffn_gate.weight | 0xf1c601e0 | 0x8340000 |
| 64 | blk.6.ffn_norm.weight | 0xf9fa01e0 | 0x5000 |
| 65 | blk.6.ffn_up.weight | 0xf9fa51e0 | 0x8340000 |
| 66 | blk.7.attn_k.weight | 0x1022e51e0 | 0x41a000 |
| 67 | blk.7.attn_norm.weight | 0x1026ff1e0 | 0x5000 |
| 68 | blk.7.attn_output.weight | 0x1027041e0 | 0x1068000 |
| 69 | blk.7.attn_q.weight | 0x10376c1e0 | 0x1068000 |
| 70 | blk.7.attn_v.weight | 0x1047d41e0 | 0x550000 |
| 71 | blk.7.ffn_down.weight | 0x104d241e0 | 0xaa00000 |
| 72 | blk.7.ffn_gate.weight | 0x10f7241e0 | 0x8340000 |
| 73 | blk.7.ffn_norm.weight | 0x117a641e0 | 0x5000 |
| 74 | blk.7.ffn_up.weight | 0x117a691e0 | 0x8340000 |
| 75 | blk.8.attn_k.weight | 0x11fda91e0 | 0x41a000 |
| 76 | blk.8.attn_norm.weight | 0x1201c31e0 | 0x5000 |
| 77 | blk.8.attn_output.weight | 0x1201c81e0 | 0x1068000 |
| 78 | blk.8.attn_q.weight | 0x1212301e0 | 0x1068000 |
| 79 | blk.8.attn_v.weight | 0x1222981e0 | 0x550000 |
| 80 | blk.8.ffn_down.weight | 0x1227e81e0 | 0xaa00000 |
| 81 | blk.8.ffn_gate.weight | 0x12d1e81e0 | 0x8340000 |
| 82 | blk.8.ffn_norm.weight | 0x1355281e0 | 0x5000 |
| 83 | blk.8.ffn_up.weight | 0x13552d1e0 | 0x8340000 |
| 84 | blk.9.attn_k.weight | 0x13d86d1e0 | 0x41a000 |
| 85 | blk.9.attn_norm.weight | 0x13dc871e0 | 0x5000 |
| 86 | blk.9.attn_output.weight | 0x13dc8c1e0 | 0x1068000 |
| 87 | blk.9.attn_q.weight | 0x13ecf41e0 | 0x1068000 |
| 88 | blk.9.attn_v.weight | 0x13fd5c1e0 | 0x550000 |
| 89 | blk.9.ffn_down.weight | 0x1402ac1e0 | 0xaa00000 |
| 90 | blk.9.ffn_gate.weight | 0x14acac1e0 | 0x8340000 |
| 91 | blk.9.ffn_norm.weight | 0x152fec1e0 | 0x5000 |
| 92 | blk.9.ffn_up.weight | 0x152ff11e0 | 0x8340000 |
| 93 | blk.10.attn_k.weight | 0x15b3311e0 | 0x41a000 |
| 94 | blk.10.attn_norm.weight | 0x15b74b1e0 | 0x5000 |
| 95 | blk.10.attn_output.weight | 0x15b7501e0 | 0x1068000 |
| 96 | blk.10.attn_q.weight | 0x15c7b81e0 | 0x1068000 |
| 97 | blk.10.attn_v.weight | 0x15d8201e0 | 0x550000 |
| 98 | blk.10.ffn_down.weight | 0x15dd701e0 | 0xaa00000 |
| 99 | blk.10.ffn_gate.weight | 0x1687701e0 | 0x8340000 |
| 100 | blk.10.ffn_norm.weight | 0x170ab01e0 | 0x5000 |
| 101 | blk.10.ffn_up.weight | 0x170ab51e0 | 0x8340000 |
| 102 | blk.11.attn_k.weight | 0x178df51e0 | 0x41a000 |
| 103 | blk.11.attn_norm.weight | 0x17920f1e0 | 0x5000 |
| 104 | blk.11.attn_output.weight | 0x1792141e0 | 0x1068000 |
| 105 | blk.11.attn_q.weight | 0x17a27c1e0 | 0x1068000 |
| 106 | blk.11.attn_v.weight | 0x17b2e41e0 | 0x550000 |
| 107 | blk.11.ffn_down.weight | 0x17b8341e0 | 0xaa00000 |
| 108 | blk.11.ffn_gate.weight | 0x1862341e0 | 0x8340000 |
| 109 | blk.11.ffn_norm.weight | 0x18e5741e0 | 0x5000 |
| 110 | blk.11.ffn_up.weight | 0x18e5791e0 | 0x8340000 |
| 111 | blk.12.attn_k.weight | 0x1968b91e0 | 0x41a000 |
| 112 | blk.12.attn_norm.weight | 0x196cd31e0 | 0x5000 |
| 113 | blk.12.attn_output.weight | 0x196cd81e0 | 0x1068000 |
| 114 | blk.12.attn_q.weight | 0x197d401e0 | 0x1068000 |
| 115 | blk.12.attn_v.weight | 0x198da81e0 | 0x550000 |
| 116 | blk.12.ffn_down.weight | 0x1992f81e0 | 0xaa00000 |
| 117 | blk.12.ffn_gate.weight | 0x1a3cf81e0 | 0x8340000 |
| 118 | blk.12.ffn_norm.weight | 0x1ac0381e0 | 0x5000 |
| 119 | blk.12.ffn_up.weight | 0x1ac03d1e0 | 0x8340000 |
| 120 | blk.13.attn_k.weight | 0x1b437d1e0 | 0x41a000 |
| 121 | blk.13.attn_norm.weight | 0x1b47971e0 | 0x5000 |
| 122 | blk.13.attn_output.weight | 0x1b479c1e0 | 0x1068000 |
| 123 | blk.13.attn_q.weight | 0x1b58041e0 | 0x1068000 |
| 124 | blk.13.attn_v.weight | 0x1b686c1e0 | 0x550000 |
| 125 | blk.13.ffn_down.weight | 0x1b6dbc1e0 | 0xaa00000 |
| 126 | blk.13.ffn_gate.weight | 0x1c17bc1e0 | 0x8340000 |
| 127 | blk.13.ffn_norm.weight | 0x1c9afc1e0 | 0x5000 |
| 128 | blk.13.ffn_up.weight | 0x1c9b011e0 | 0x8340000 |
| 129 | blk.14.attn_k.weight | 0x1d1e411e0 | 0x41a000 |
| 130 | blk.14.attn_norm.weight | 0x1d225b1e0 | 0x5000 |
| 131 | blk.14.attn_output.weight | 0x1d22601e0 | 0x1068000 |
| 132 | blk.14.attn_q.weight | 0x1d32c81e0 | 0x1068000 |
| 133 | blk.14.attn_v.weight | 0x1d43301e0 | 0x550000 |
| 134 | blk.14.ffn_down.weight | 0x1d48801e0 | 0xaa00000 |
| 135 | blk.14.ffn_gate.weight | 0x1df2801e0 | 0x8340000 |
| 136 | blk.14.ffn_norm.weight | 0x1e75c01e0 | 0x5000 |
| 137 | blk.14.ffn_up.weight | 0x1e75c51e0 | 0x8340000 |
| 138 | blk.15.attn_k.weight | 0x1ef9051e0 | 0x41a000 |
| 139 | blk.15.attn_norm.weight | 0x1efd1f1e0 | 0x5000 |
| 140 | blk.15.attn_output.weight | 0x1efd241e0 | 0x1068000 |
| 141 | blk.15.attn_q.weight | 0x1f0d8c1e0 | 0x1068000 |
| 142 | blk.15.attn_v.weight | 0x1f1df41e0 | 0x550000 |
| 143 | blk.15.ffn_down.weight | 0x1f23441e0 | 0xaa00000 |
| 144 | blk.15.ffn_gate.weight | 0x1fcd441e0 | 0x8340000 |
| 145 | blk.15.ffn_norm.weight | 0x2050841e0 | 0x5000 |
| 146 | blk.15.ffn_up.weight | 0x2050891e0 | 0x8340000 |
| 147 | blk.16.attn_k.weight | 0x20d3c91e0 | 0x41a000 |
| 148 | blk.16.attn_norm.weight | 0x20d7e31e0 | 0x5000 |
| 149 | blk.16.attn_output.weight | 0x20d7e81e0 | 0x1068000 |
| 150 | blk.16.attn_q.weight | 0x20e8501e0 | 0x1068000 |
| 151 | blk.16.attn_v.weight | 0x20f8b81e0 | 0x550000 |
| 152 | blk.16.ffn_down.weight | 0x20fe081e0 | 0xaa00000 |
| 153 | blk.16.ffn_gate.weight | 0x21a8081e0 | 0x8340000 |
| 154 | blk.16.ffn_norm.weight | 0x222b481e0 | 0x5000 |
| 155 | blk.16.ffn_up.weight | 0x222b4d1e0 | 0x8340000 |
| 156 | blk.17.attn_k.weight | 0x22ae8d1e0 | 0x370000 |
| 157 | blk.17.attn_norm.weight | 0x22b1fd1e0 | 0x5000 |
| 158 | blk.17.attn_output.weight | 0x22b2021e0 | 0x1068000 |
| 159 | blk.17.attn_q.weight | 0x22c26a1e0 | 0xdc0000 |
| 160 | blk.17.attn_v.weight | 0x22d02a1e0 | 0x41a000 |
| 161 | blk.17.ffn_down.weight | 0x22d4441e0 | 0xaa00000 |
| 162 | blk.17.ffn_gate.weight | 0x237e441e0 | 0x8340000 |
| 163 | blk.17.ffn_norm.weight | 0x2401841e0 | 0x5000 |
| 164 | blk.17.ffn_up.weight | 0x2401891e0 | 0x8340000 |
| 165 | blk.18.attn_k.weight | 0x2484c91e0 | 0x370000 |
| 166 | blk.18.attn_norm.weight | 0x2488391e0 | 0x5000 |
| 167 | blk.18.attn_output.weight | 0x24883e1e0 | 0x1068000 |
| 168 | blk.18.attn_q.weight | 0x2498a61e0 | 0xdc0000 |
| 169 | blk.18.attn_v.weight | 0x24a6661e0 | 0x41a000 |
| 170 | blk.18.ffn_down.weight | 0x24aa801e0 | 0xaa00000 |
| 171 | blk.18.ffn_gate.weight | 0x2554801e0 | 0x8340000 |
| 172 | blk.18.ffn_norm.weight | 0x25d7c01e0 | 0x5000 |
| 173 | blk.18.ffn_up.weight | 0x25d7c51e0 | 0x8340000 |
| 174 | blk.19.attn_k.weight | 0x265b051e0 | 0x41a000 |
| 175 | blk.19.attn_norm.weight | 0x265f1f1e0 | 0x5000 |
| 176 | blk.19.attn_output.weight | 0x265f241e0 | 0x1068000 |
| 177 | blk.19.attn_q.weight | 0x266f8c1e0 | 0x1068000 |
| 178 | blk.19.attn_v.weight | 0x267ff41e0 | 0x550000 |
| 179 | blk.19.ffn_down.weight | 0x2685441e0 | 0xaa00000 |
| 180 | blk.19.ffn_gate.weight | 0x272f441e0 | 0x8340000 |
| 181 | blk.19.ffn_norm.weight | 0x27b2841e0 | 0x5000 |
| 182 | blk.19.ffn_up.weight | 0x27b2891e0 | 0x8340000 |
| 183 | blk.20.attn_k.weight | 0x2835c91e0 | 0x370000 |
| 184 | blk.20.attn_norm.weight | 0x2839391e0 | 0x5000 |
| 185 | blk.20.attn_output.weight | 0x28393e1e0 | 0x1068000 |
| 186 | blk.20.attn_q.weight | 0x2849a61e0 | 0xdc0000 |
| 187 | blk.20.attn_v.weight | 0x2857661e0 | 0x41a000 |
| 188 | blk.20.ffn_down.weight | 0x285b801e0 | 0xaa00000 |
| 189 | blk.20.ffn_gate.weight | 0x2905801e0 | 0x6e00000 |
| 190 | blk.20.ffn_norm.weight | 0x2973801e0 | 0x5000 |
| 191 | blk.20.ffn_up.weight | 0x2973851e0 | 0x6e00000 |
| 192 | blk.21.attn_k.weight | 0x29e1851e0 | 0x41a000 |
| 193 | blk.21.attn_norm.weight | 0x29e59f1e0 | 0x5000 |
| 194 | blk.21.attn_output.weight | 0x29e5a41e0 | 0x1068000 |
| 195 | blk.21.attn_q.weight | 0x29f60c1e0 | 0x1068000 |
| 196 | blk.21.attn_v.weight | 0x2a06741e0 | 0x550000 |
| 197 | blk.21.ffn_down.weight | 0x2a0bc41e0 | 0xaa00000 |
| 198 | blk.21.ffn_gate.weight | 0x2ab5c41e0 | 0x6e00000 |
| 199 | blk.21.ffn_norm.weight | 0x2b23c41e0 | 0x5000 |
| 200 | blk.21.ffn_up.weight | 0x2b23c91e0 | 0x6e00000 |
| 201 | blk.22.attn_k.weight | 0x2b91c91e0 | 0x370000 |
| 202 | blk.22.attn_norm.weight | 0x2b95391e0 | 0x5000 |
| 203 | blk.22.attn_output.weight | 0x2b953e1e0 | 0x1068000 |
| 204 | blk.22.attn_q.weight | 0x2ba5a61e0 | 0xdc0000 |
| 205 | blk.22.attn_v.weight | 0x2bb3661e0 | 0x41a000 |
| 206 | blk.22.ffn_down.weight | 0x2bb7801e0 | 0xaa00000 |
| 207 | blk.22.ffn_gate.weight | 0x2c61801e0 | 0x6e00000 |
| 208 | blk.22.ffn_norm.weight | 0x2ccf801e0 | 0x5000 |
| 209 | blk.22.ffn_up.weight | 0x2ccf851e0 | 0x6e00000 |
| 210 | blk.23.attn_k.weight | 0x2d3d851e0 | 0x370000 |
| 211 | blk.23.attn_norm.weight | 0x2d40f51e0 | 0x5000 |
| 212 | blk.23.attn_output.weight | 0x2d40fa1e0 | 0x1068000 |
| 213 | blk.23.attn_q.weight | 0x2d51621e0 | 0xdc0000 |
| 214 | blk.23.attn_v.weight | 0x2d5f221e0 | 0x41a000 |
| 215 | blk.23.ffn_down.weight | 0x2d633c1e0 | 0xaa00000 |
| 216 | blk.23.ffn_gate.weight | 0x2e0d3c1e0 | 0x6e00000 |
| 217 | blk.23.ffn_norm.weight | 0x2e7b3c1e0 | 0x5000 |
| 218 | blk.23.ffn_up.weight | 0x2e7b411e0 | 0x6e00000 |
| 219 | blk.24.attn_k.weight | 0x2ee9411e0 | 0x370000 |
| 220 | blk.24.attn_norm.weight | 0x2eecb11e0 | 0x5000 |
| 221 | blk.24.attn_output.weight | 0x2eecb61e0 | 0x1068000 |
| 222 | blk.24.attn_q.weight | 0x2efd1e1e0 | 0xdc0000 |
| 223 | blk.24.attn_v.weight | 0x2f0ade1e0 | 0x41a000 |
| 224 | blk.24.ffn_down.weight | 0x2f0ef81e0 | 0xaa00000 |
| 225 | blk.24.ffn_gate.weight | 0x2fb8f81e0 | 0x6e00000 |
| 226 | blk.24.ffn_norm.weight | 0x3026f81e0 | 0x5000 |
| 227 | blk.24.ffn_up.weight | 0x3026fd1e0 | 0x6e00000 |
| 228 | blk.25.attn_k.weight | 0x3094fd1e0 | 0x370000 |
| 229 | blk.25.attn_norm.weight | 0x30986d1e0 | 0x5000 |
| 230 | blk.25.attn_output.weight | 0x3098721e0 | 0x1068000 |
| 231 | blk.25.attn_q.weight | 0x30a8da1e0 | 0xdc0000 |
| 232 | blk.25.attn_v.weight | 0x30b69a1e0 | 0x41a000 |
| 233 | blk.25.ffn_down.weight | 0x30bab41e0 | 0xaa00000 |
| 234 | blk.25.ffn_gate.weight | 0x3164b41e0 | 0x6e00000 |
| 235 | blk.25.ffn_norm.weight | 0x31d2b41e0 | 0x5000 |
| 236 | blk.25.ffn_up.weight | 0x31d2b91e0 | 0x6e00000 |
| 237 | blk.26.attn_k.weight | 0x3240b91e0 | 0x370000 |
| 238 | blk.26.attn_norm.weight | 0x3244291e0 | 0x5000 |
| 239 | blk.26.attn_output.weight | 0x32442e1e0 | 0x1068000 |
| 240 | blk.26.attn_q.weight | 0x3254961e0 | 0xdc0000 |
| 241 | blk.26.attn_v.weight | 0x3262561e0 | 0x41a000 |
| 242 | blk.26.ffn_down.weight | 0x3266701e0 | 0xaa00000 |
| 243 | blk.26.ffn_gate.weight | 0x3310701e0 | 0x6e00000 |
| 244 | blk.26.ffn_norm.weight | 0x337e701e0 | 0x5000 |
| 245 | blk.26.ffn_up.weight | 0x337e751e0 | 0x6e00000 |
| 246 | blk.27.attn_k.weight | 0x33ec751e0 | 0x41a000 |
| 247 | blk.27.attn_norm.weight | 0x33f08f1e0 | 0x5000 |
| 248 | blk.27.attn_output.weight | 0x33f0941e0 | 0x1068000 |
| 249 | blk.27.attn_q.weight | 0x3400fc1e0 | 0x1068000 |
| 250 | blk.27.attn_v.weight | 0x3411641e0 | 0x550000 |
| 251 | blk.27.ffn_down.weight | 0x3416b41e0 | 0xaa00000 |
| 252 | blk.27.ffn_gate.weight | 0x34c0b41e0 | 0x6e00000 |
| 253 | blk.27.ffn_norm.weight | 0x352eb41e0 | 0x5000 |
| 254 | blk.27.ffn_up.weight | 0x352eb91e0 | 0x6e00000 |
| 255 | blk.28.attn_k.weight | 0x359cb91e0 | 0x370000 |
| 256 | blk.28.attn_norm.weight | 0x35a0291e0 | 0x5000 |
| 257 | blk.28.attn_output.weight | 0x35a02e1e0 | 0x1068000 |
| 258 | blk.28.attn_q.weight | 0x35b0961e0 | 0xdc0000 |
| 259 | blk.28.attn_v.weight | 0x35be561e0 | 0x41a000 |
| 260 | blk.28.ffn_down.weight | 0x35c2701e0 | 0xaa00000 |
| 261 | blk.28.ffn_gate.weight | 0x366c701e0 | 0x6e00000 |
| 262 | blk.28.ffn_norm.weight | 0x36da701e0 | 0x5000 |
| 263 | blk.28.ffn_up.weight | 0x36da751e0 | 0x6e00000 |
| 264 | blk.29.attn_k.weight | 0x3748751e0 | 0x370000 |
| 265 | blk.29.attn_norm.weight | 0x374be51e0 | 0x5000 |
| 266 | blk.29.attn_output.weight | 0x374bea1e0 | 0x1068000 |
| 267 | blk.29.attn_q.weight | 0x375c521e0 | 0xdc0000 |
| 268 | blk.29.attn_v.weight | 0x376a121e0 | 0x41a000 |
| 269 | blk.29.ffn_down.weight | 0x376e2c1e0 | 0xaa00000 |
| 270 | blk.29.ffn_gate.weight | 0x38182c1e0 | 0x6e00000 |
| 271 | blk.29.ffn_norm.weight | 0x38862c1e0 | 0x5000 |
| 272 | blk.29.ffn_up.weight | 0x3886311e0 | 0x6e00000 |
| 273 | blk.30.attn_k.weight | 0x38f4311e0 | 0x370000 |
| 274 | blk.30.attn_norm.weight | 0x38f7a11e0 | 0x5000 |
| 275 | blk.30.attn_output.weight | 0x38f7a61e0 | 0x1068000 |
| 276 | blk.30.attn_q.weight | 0x39080e1e0 | 0xdc0000 |
| 277 | blk.30.attn_v.weight | 0x3915ce1e0 | 0x41a000 |
| 278 | blk.30.ffn_down.weight | 0x3919e81e0 | 0xaa00000 |
| 279 | blk.30.ffn_gate.weight | 0x39c3e81e0 | 0x6e00000 |
| 280 | blk.30.ffn_norm.weight | 0x3a31e81e0 | 0x5000 |
| 281 | blk.30.ffn_up.weight | 0x3a31ed1e0 | 0x6e00000 |
| 282 | blk.31.attn_k.weight | 0x3a9fed1e0 | 0x370000 |
| 283 | blk.31.attn_norm.weight | 0x3aa35d1e0 | 0x5000 |
| 284 | blk.31.attn_output.weight | 0x3aa3621e0 | 0x1068000 |
| 285 | blk.31.attn_q.weight | 0x3ab3ca1e0 | 0xdc0000 |
| 286 | blk.31.attn_v.weight | 0x3ac18a1e0 | 0x41a000 |
| 287 | blk.31.ffn_down.weight | 0x3ac5a41e0 | 0xaa00000 |
| 288 | blk.31.ffn_gate.weight | 0x3b6fa41e0 | 0x6e00000 |
| 289 | blk.31.ffn_norm.weight | 0x3bdda41e0 | 0x5000 |
| 290 | blk.31.ffn_up.weight | 0x3bdda91e0 | 0x6e00000 |
| 291 | blk.32.attn_k.weight | 0x3c4ba91e0 | 0x370000 |
| 292 | blk.32.attn_norm.weight | 0x3c4f191e0 | 0x5000 |
| 293 | blk.32.attn_output.weight | 0x3c4f1e1e0 | 0x1068000 |
| 294 | blk.32.attn_q.weight | 0x3c5f861e0 | 0xdc0000 |
| 295 | blk.32.attn_v.weight | 0x3c6d461e0 | 0x41a000 |
| 296 | blk.32.ffn_down.weight | 0x3c71601e0 | 0xaa00000 |
| 297 | blk.32.ffn_gate.weight | 0x3d1b601e0 | 0x6e00000 |
| 298 | blk.32.ffn_norm.weight | 0x3d89601e0 | 0x5000 |
| 299 | blk.32.ffn_up.weight | 0x3d89651e0 | 0x6e00000 |
| 300 | blk.33.attn_k.weight | 0x3df7651e0 | 0x370000 |
| 301 | blk.33.attn_norm.weight | 0x3dfad51e0 | 0x5000 |
| 302 | blk.33.attn_output.weight | 0x3dfada1e0 | 0x1068000 |
| 303 | blk.33.attn_q.weight | 0x3e0b421e0 | 0xdc0000 |
| 304 | blk.33.attn_v.weight | 0x3e19021e0 | 0x41a000 |
| 305 | blk.33.ffn_down.weight | 0x3e1d1c1e0 | 0xaa00000 |
| 306 | blk.33.ffn_gate.weight | 0x3ec71c1e0 | 0x6e00000 |
| 307 | blk.33.ffn_norm.weight | 0x3f351c1e0 | 0x5000 |
| 308 | blk.33.ffn_up.weight | 0x3f35211e0 | 0x6e00000 |
| 309 | blk.34.attn_k.weight | 0x3fa3211e0 | 0x370000 |
| 310 | blk.34.attn_norm.weight | 0x3fa6911e0 | 0x5000 |
| 311 | blk.34.attn_output.weight | 0x3fa6961e0 | 0x1068000 |
| 312 | blk.34.attn_q.weight | 0x3fb6fe1e0 | 0xdc0000 |
| 313 | blk.34.attn_v.weight | 0x3fc4be1e0 | 0x41a000 |
| 314 | blk.34.ffn_down.weight | 0x3fc8d81e0 | 0xaa00000 |
| 315 | blk.34.ffn_gate.weight | 0x4072d81e0 | 0x6e00000 |
| 316 | blk.34.ffn_norm.weight | 0x40e0d81e0 | 0x5000 |
| 317 | blk.34.ffn_up.weight | 0x40e0dd1e0 | 0x6e00000 |
| 318 | blk.35.attn_k.weight | 0x414edd1e0 | 0x370000 |
| 319 | blk.35.attn_norm.weight | 0x41524d1e0 | 0x5000 |
| 320 | blk.35.attn_output.weight | 0x4152521e0 | 0x1068000 |
| 321 | blk.35.attn_q.weight | 0x4162ba1e0 | 0xdc0000 |
| 322 | blk.35.attn_v.weight | 0x41707a1e0 | 0x41a000 |
| 323 | blk.35.ffn_down.weight | 0x4174941e0 | 0xaa00000 |
| 324 | blk.35.ffn_gate.weight | 0x421e941e0 | 0x6e00000 |
| 325 | blk.35.ffn_norm.weight | 0x428c941e0 | 0x5000 |
| 326 | blk.35.ffn_up.weight | 0x428c991e0 | 0x6e00000 |
| 327 | blk.36.attn_k.weight | 0x42fa991e0 | 0x370000 |
| 328 | blk.36.attn_norm.weight | 0x42fe091e0 | 0x5000 |
| 329 | blk.36.attn_output.weight | 0x42fe0e1e0 | 0x1068000 |
| 330 | blk.36.attn_q.weight | 0x430e761e0 | 0xdc0000 |
| 331 | blk.36.attn_v.weight | 0x431c361e0 | 0x41a000 |
| 332 | blk.36.ffn_down.weight | 0x4320501e0 | 0xaa00000 |
| 333 | blk.36.ffn_gate.weight | 0x43ca501e0 | 0x6e00000 |
| 334 | blk.36.ffn_norm.weight | 0x4438501e0 | 0x5000 |
| 335 | blk.36.ffn_up.weight | 0x4438551e0 | 0x6e00000 |
| 336 | blk.37.attn_k.weight | 0x44a6551e0 | 0x370000 |
| 337 | blk.37.attn_norm.weight | 0x44a9c51e0 | 0x5000 |
| 338 | blk.37.attn_output.weight | 0x44a9ca1e0 | 0x1068000 |
| 339 | blk.37.attn_q.weight | 0x44ba321e0 | 0xdc0000 |
| 340 | blk.37.attn_v.weight | 0x44c7f21e0 | 0x41a000 |
| 341 | blk.37.ffn_down.weight | 0x44cc0c1e0 | 0xaa00000 |
| 342 | blk.37.ffn_gate.weight | 0x45760c1e0 | 0x6e00000 |
| 343 | blk.37.ffn_norm.weight | 0x45e40c1e0 | 0x5000 |
| 344 | blk.37.ffn_up.weight | 0x45e4111e0 | 0x6e00000 |
Base Tensor Group : ~1B Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 0 | output.weight | Output (W) | (~671M) 671088640 | 5120 x 131072 x 1 x 1 | Q6_K | 6.5625 |
| 1 | output_norm.weight | Output Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 2 | token_embd.weight | Token Embedding (W) | (~671M) 671088640 | 5120 x 131072 x 1 x 1 | Q3_K | 3.4375 |
- Total elements in base: ( ~1B) 1342182400
- Percentage of total elements: 5.98%
- Bits per Weight (BPW) for base: 5.0001 bits
Block 0 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 3 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 4 | blk.0.attn_norm.weight | Block 0 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 5 | blk.0.attn_output.weight | Block 0 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 7 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 8 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 9 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 10 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 11 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.0: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.0: 7.1661 bits
Block 1 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 12 | blk.1.attn_k.weight | Block 1 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 13 | blk.1.attn_norm.weight | Block 1 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 14 | blk.1.attn_output.weight | Block 1 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 15 | blk.1.attn_q.weight | Block 1 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 16 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 17 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 18 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 19 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 20 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.1: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.1: 7.1661 bits
Block 2 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 21 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 22 | blk.2.attn_norm.weight | Block 2 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 23 | blk.2.attn_output.weight | Block 2 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 24 | blk.2.attn_q.weight | Block 2 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 25 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 26 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 27 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 28 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 29 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.2: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.2: 7.1661 bits
Block 3 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 30 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 31 | blk.3.attn_norm.weight | Block 3 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 32 | blk.3.attn_output.weight | Block 3 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 33 | blk.3.attn_q.weight | Block 3 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 34 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 35 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 36 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 37 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 38 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.3: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.3: 7.1661 bits
Block 4 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 39 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 40 | blk.4.attn_norm.weight | Block 4 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 41 | blk.4.attn_output.weight | Block 4 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 42 | blk.4.attn_q.weight | Block 4 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 43 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 44 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 45 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 46 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 47 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.4: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.4: 7.1661 bits
Block 5 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 48 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 49 | blk.5.attn_norm.weight | Block 5 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 50 | blk.5.attn_output.weight | Block 5 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 51 | blk.5.attn_q.weight | Block 5 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 52 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 53 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 54 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 55 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 56 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.5: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.5: 7.1661 bits
Block 6 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 57 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 58 | blk.6.attn_norm.weight | Block 6 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 59 | blk.6.attn_output.weight | Block 6 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 60 | blk.6.attn_q.weight | Block 6 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 61 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 62 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 63 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 64 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 65 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.6: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.6: 7.1661 bits
Block 7 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 66 | blk.7.attn_k.weight | Block 7 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 67 | blk.7.attn_norm.weight | Block 7 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 68 | blk.7.attn_output.weight | Block 7 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 69 | blk.7.attn_q.weight | Block 7 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 70 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 71 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 72 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 73 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 74 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.7: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.7: 7.1661 bits
Block 8 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 75 | blk.8.attn_k.weight | Block 8 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 76 | blk.8.attn_norm.weight | Block 8 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 77 | blk.8.attn_output.weight | Block 8 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 78 | blk.8.attn_q.weight | Block 8 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 79 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 80 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 81 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 82 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 83 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.8: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.8: 7.1661 bits
Block 9 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 84 | blk.9.attn_k.weight | Block 9 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 85 | blk.9.attn_norm.weight | Block 9 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 86 | blk.9.attn_output.weight | Block 9 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 87 | blk.9.attn_q.weight | Block 9 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 88 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 89 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 90 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 91 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 92 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.9: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.9: 7.1661 bits
Block 10 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 93 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 94 | blk.10.attn_norm.weight | Block 10 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 95 | blk.10.attn_output.weight | Block 10 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 96 | blk.10.attn_q.weight | Block 10 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 97 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 98 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 99 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 100 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 101 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.10: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.10: 7.1661 bits
Block 11 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 102 | blk.11.attn_k.weight | Block 11 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 103 | blk.11.attn_norm.weight | Block 11 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 104 | blk.11.attn_output.weight | Block 11 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 105 | blk.11.attn_q.weight | Block 11 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 106 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 107 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 108 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 109 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 110 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.11: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.11: 7.1661 bits
Block 12 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 111 | blk.12.attn_k.weight | Block 12 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 112 | blk.12.attn_norm.weight | Block 12 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 113 | blk.12.attn_output.weight | Block 12 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 114 | blk.12.attn_q.weight | Block 12 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 115 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 116 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 117 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 118 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 119 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.12: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.12: 7.1661 bits
Block 13 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 120 | blk.13.attn_k.weight | Block 13 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 121 | blk.13.attn_norm.weight | Block 13 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 122 | blk.13.attn_output.weight | Block 13 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 123 | blk.13.attn_q.weight | Block 13 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 124 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 125 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 126 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 127 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 128 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.13: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.13: 7.1661 bits
Block 14 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 129 | blk.14.attn_k.weight | Block 14 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 130 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 131 | blk.14.attn_output.weight | Block 14 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 132 | blk.14.attn_q.weight | Block 14 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 133 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 134 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 135 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 136 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 137 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.14: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.14: 7.1661 bits
Block 15 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 138 | blk.15.attn_k.weight | Block 15 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 139 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 140 | blk.15.attn_output.weight | Block 15 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 141 | blk.15.attn_q.weight | Block 15 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 142 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 143 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 144 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 145 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 146 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.15: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.15: 7.1661 bits
Block 16 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 147 | blk.16.attn_k.weight | Block 16 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 148 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 149 | blk.16.attn_output.weight | Block 16 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 150 | blk.16.attn_q.weight | Block 16 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 151 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 152 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 153 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 154 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 155 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.16: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.16: 7.1661 bits
Block 17 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 156 | blk.17.attn_k.weight | Block 17 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 157 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 158 | blk.17.attn_output.weight | Block 17 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 159 | blk.17.attn_q.weight | Block 17 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 160 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 161 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 162 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 163 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 164 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.17: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.17: 7.0977 bits
Block 18 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 165 | blk.18.attn_k.weight | Block 18 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 166 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 167 | blk.18.attn_output.weight | Block 18 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 168 | blk.18.attn_q.weight | Block 18 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 169 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 170 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 171 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 172 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 173 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.18: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.18: 7.0977 bits
Block 19 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 174 | blk.19.attn_k.weight | Block 19 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 175 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 176 | blk.19.attn_output.weight | Block 19 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 177 | blk.19.attn_q.weight | Block 19 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 178 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 179 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 180 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
| 181 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 182 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q6_K | 6.5625 |
- Total elements in blk.19: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.19: 7.1661 bits
Block 20 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 183 | blk.20.attn_k.weight | Block 20 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 184 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 185 | blk.20.attn_output.weight | Block 20 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 186 | blk.20.attn_q.weight | Block 20 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 187 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 188 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 189 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 190 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 191 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.20: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.20: 6.4562 bits
Block 21 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 192 | blk.21.attn_k.weight | Block 21 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 193 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 194 | blk.21.attn_output.weight | Block 21 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 195 | blk.21.attn_q.weight | Block 21 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 196 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 197 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 198 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 199 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 200 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.21: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.21: 6.5246 bits
Block 22 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 201 | blk.22.attn_k.weight | Block 22 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 202 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 203 | blk.22.attn_output.weight | Block 22 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 204 | blk.22.attn_q.weight | Block 22 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 205 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 206 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 207 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 208 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 209 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.22: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.22: 6.4562 bits
Block 23 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 210 | blk.23.attn_k.weight | Block 23 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 211 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 212 | blk.23.attn_output.weight | Block 23 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 213 | blk.23.attn_q.weight | Block 23 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 214 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 215 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 216 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 217 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 218 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.23: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.23: 6.4562 bits
Block 24 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 219 | blk.24.attn_k.weight | Block 24 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 220 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 221 | blk.24.attn_output.weight | Block 24 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 222 | blk.24.attn_q.weight | Block 24 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 223 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 224 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 225 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 226 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 227 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.24: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.24: 6.4562 bits
Block 25 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 228 | blk.25.attn_k.weight | Block 25 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 229 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 230 | blk.25.attn_output.weight | Block 25 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 231 | blk.25.attn_q.weight | Block 25 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 232 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 233 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 234 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 235 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 236 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.25: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.25: 6.4562 bits
Block 26 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 237 | blk.26.attn_k.weight | Block 26 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 238 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 239 | blk.26.attn_output.weight | Block 26 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 240 | blk.26.attn_q.weight | Block 26 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 241 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 242 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 243 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 244 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 245 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.26: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.26: 6.4562 bits
Block 27 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 246 | blk.27.attn_k.weight | Block 27 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 247 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 248 | blk.27.attn_output.weight | Block 27 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 249 | blk.27.attn_q.weight | Block 27 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 250 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q8_0 | 8.5000 |
| 251 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 252 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 253 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 254 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.27: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.27: 6.5246 bits
Block 28 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 255 | blk.28.attn_k.weight | Block 28 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 256 | blk.28.attn_norm.weight | Block 28 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 257 | blk.28.attn_output.weight | Block 28 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 258 | blk.28.attn_q.weight | Block 28 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 259 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 260 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 261 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 262 | blk.28.ffn_norm.weight | Block 28 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 263 | blk.28.ffn_up.weight | Block 28 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.28: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.28: 6.4562 bits
Block 29 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 264 | blk.29.attn_k.weight | Block 29 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 265 | blk.29.attn_norm.weight | Block 29 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 266 | blk.29.attn_output.weight | Block 29 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 267 | blk.29.attn_q.weight | Block 29 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 268 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 269 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 270 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 271 | blk.29.ffn_norm.weight | Block 29 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 272 | blk.29.ffn_up.weight | Block 29 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.29: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.29: 6.4562 bits
Block 30 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 273 | blk.30.attn_k.weight | Block 30 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 274 | blk.30.attn_norm.weight | Block 30 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 275 | blk.30.attn_output.weight | Block 30 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 276 | blk.30.attn_q.weight | Block 30 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 277 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 278 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 279 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 280 | blk.30.ffn_norm.weight | Block 30 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 281 | blk.30.ffn_up.weight | Block 30 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.30: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.30: 6.4562 bits
Block 31 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 282 | blk.31.attn_k.weight | Block 31 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 283 | blk.31.attn_norm.weight | Block 31 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 284 | blk.31.attn_output.weight | Block 31 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 285 | blk.31.attn_q.weight | Block 31 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 286 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 287 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 288 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 289 | blk.31.ffn_norm.weight | Block 31 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 290 | blk.31.ffn_up.weight | Block 31 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.31: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.31: 6.4562 bits
Block 32 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 291 | blk.32.attn_k.weight | Block 32 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 292 | blk.32.attn_norm.weight | Block 32 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 293 | blk.32.attn_output.weight | Block 32 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 294 | blk.32.attn_q.weight | Block 32 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 295 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 296 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 297 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 298 | blk.32.ffn_norm.weight | Block 32 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 299 | blk.32.ffn_up.weight | Block 32 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.32: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.32: 6.4562 bits
Block 33 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 300 | blk.33.attn_k.weight | Block 33 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 301 | blk.33.attn_norm.weight | Block 33 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 302 | blk.33.attn_output.weight | Block 33 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 303 | blk.33.attn_q.weight | Block 33 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 304 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 305 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 306 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 307 | blk.33.ffn_norm.weight | Block 33 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 308 | blk.33.ffn_up.weight | Block 33 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.33: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.33: 6.4562 bits
Block 34 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 309 | blk.34.attn_k.weight | Block 34 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 310 | blk.34.attn_norm.weight | Block 34 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 311 | blk.34.attn_output.weight | Block 34 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 312 | blk.34.attn_q.weight | Block 34 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 313 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 314 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 315 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 316 | blk.34.ffn_norm.weight | Block 34 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 317 | blk.34.ffn_up.weight | Block 34 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.34: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.34: 6.4562 bits
Block 35 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 318 | blk.35.attn_k.weight | Block 35 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 319 | blk.35.attn_norm.weight | Block 35 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 320 | blk.35.attn_output.weight | Block 35 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 321 | blk.35.attn_q.weight | Block 35 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 322 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 323 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 324 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 325 | blk.35.ffn_norm.weight | Block 35 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 326 | blk.35.ffn_up.weight | Block 35 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.35: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.35: 6.4562 bits
Block 36 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 327 | blk.36.attn_k.weight | Block 36 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 328 | blk.36.attn_norm.weight | Block 36 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 329 | blk.36.attn_output.weight | Block 36 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 330 | blk.36.attn_q.weight | Block 36 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 331 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 332 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 333 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 334 | blk.36.ffn_norm.weight | Block 36 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 335 | blk.36.ffn_up.weight | Block 36 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.36: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.36: 6.4562 bits
Block 37 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|---|---|---|---|---|---|---|
| 336 | blk.37.attn_k.weight | Block 37 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 337 | blk.37.attn_norm.weight | Block 37 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 338 | blk.37.attn_output.weight | Block 37 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q6_K | 6.5625 |
| 339 | blk.37.attn_q.weight | Block 37 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 340 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 |
| 341 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q8_0 | 8.5000 |
| 342 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
| 343 | blk.37.ffn_norm.weight | Block 37 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 |
| 344 | blk.37.ffn_up.weight | Block 37 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.37: (~556M) 555755520
- Percentage of total elements: 2.47%
- Bits per Weight (BPW) for blk.37: 6.4562 bits
Total BPW for Mistral-Small-3.2-24B-Instruct-pruned-Q6_K.gguf: 6.7205 bits