Dolphin-Mistral-24B-Venice-Edition-Q5_K_M.gguf - GGUF Internal File Dump
- Endian: LITTLE endian
Key Value Metadata Store
There are 46 key-value pairs in this file
| POS | TYPE | Count | Key | Value |
|---|---|---|---|---|
| 1 | UINT32 | 1 | GGUF.version | 3 |
| 2 | UINT64 | 1 | GGUF.tensor_count | 363 |
| 3 | UINT64 | 1 | GGUF.kv_count | 43 |
| 4 | STRING | 1 | general.architecture | llama |
| 5 | STRING | 1 | general.type | model |
| 6 | STRING | 1 | general.name | Dolphin Mistral 24B Venice Edition |
| 7 | STRING | 1 | general.finetune | Venice-Edition |
| 8 | STRING | 1 | general.basename | Dolphin-Mistral |
| 9 | STRING | 1 | general.size_label | 24B |
| 10 | STRING | 1 | general.license | apache-2.0 |
| 11 | UINT32 | 1 | general.base_model.count | 1 |
| 12 | STRING | 1 | general.base_model.0.name | Mistral Small 24B Instruct 2501 |
| 13 | STRING | 1 | general.base_model.0.version | 2501 |
| 14 | STRING | 1 | general.base_model.0.organization | Mistralai |
| 15 | STRING | 1 | general.base_model.0.repo_url | https://huggingface.co/mistral...istral-Small-24B-Instruct-2501 |
| 16 | UINT32 | 1 | llama.block_count | 40 |
| 17 | UINT32 | 1 | llama.context_length | 32768 |
| 18 | UINT32 | 1 | llama.embedding_length | 5120 |
| 19 | UINT32 | 1 | llama.feed_forward_length | 32768 |
| 20 | UINT32 | 1 | llama.attention.head_count | 32 |
| 21 | UINT32 | 1 | llama.attention.head_count_kv | 8 |
| 22 | FLOAT32 | 1 | llama.rope.freq_base | 100000000.0 |
| 23 | FLOAT32 | 1 | llama.attention.layer_norm_rms_epsilon | 1e-05 |
| 24 | UINT32 | 1 | llama.attention.key_length | 128 |
| 25 | UINT32 | 1 | llama.attention.value_length | 128 |
| 26 | UINT32 | 1 | llama.vocab_size | 131072 |
| 27 | UINT32 | 1 | llama.rope.dimension_count | 128 |
| 28 | STRING | 1 | tokenizer.ggml.model | gpt2 |
| 29 | STRING | 1 | tokenizer.ggml.pre | tekken |
| 30 | [STRING] | 131072 | tokenizer.ggml.tokens | [ <unk>, <s>, </s>, [INST], [/INST], ... ] |
| 31 | [INT32] | 131072 | tokenizer.ggml.token_type | [ 3, 3, 3, 3, 3, 3, 3, ... ] |
| 32 | [STRING] | 269443 | tokenizer.ggml.merges | [ Ġ Ġ, Ġ t, e r, i n, Ġ ĠĠĠ, ... ] |
| 33 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 1 |
| 34 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 2 |
| 35 | UINT32 | 1 | tokenizer.ggml.unknown_token_id | 0 |
| 36 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 11 |
| 37 | BOOL | 1 | tokenizer.ggml.add_bos_token | True |
| 38 | BOOL | 1 | tokenizer.ggml.add_eos_token | False |
| 39 | STRING | 1 | tokenizer.chat_template | {%- set today = strftime_now("... {%- endif %}{%- endfor %} |
| 40 | BOOL | 1 | tokenizer.ggml.add_space_prefix | False |
| 41 | UINT32 | 1 | general.quantization_version | 2 |
| 42 | UINT32 | 1 | general.file_type | 17 |
| 43 | STRING | 1 | quantize.imatrix.file | ./imatrix/imatrix-Dolphin-Mist...l-24B-Venice-Edition-small.dat |
| 44 | STRING | 1 | quantize.imatrix.dataset | ../../datasets/imatrix/combined_eur_small.txt |
| 45 | INT32 | 1 | quantize.imatrix.entries_count | 281 |
| 46 | INT32 | 1 | quantize.imatrix.chunks_count | 3192 |
Tensors Overview ~24B Elements
Total number of elements in all tensors: 23572403200 Elements
- Dolphin-Mistral-24B-Venice-Edition-Q5_K_M.gguf - GGUF Internal File Dump
- Key Value Metadata Store
- Tensors Overview ~24B 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
- Block 38 Tensor Group : ~556M Elements
- Block 39 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 | 0x784920 | 0x1b800000 |
| 1 | output_norm.weight | 0x1bf84920 | 0x5000 |
| 2 | token_embd.weight | 0x1bf89920 | 0x11300000 |
| 3 | blk.0.attn_k.weight | 0x2d289920 | 0x2d0000 |
| 4 | blk.0.attn_norm.weight | 0x2d559920 | 0x5000 |
| 5 | blk.0.attn_output.weight | 0x2d55e920 | 0xdc0000 |
| 6 | blk.0.attn_q.weight | 0x2e31e920 | 0xb40000 |
| 7 | blk.0.attn_v.weight | 0x2ee5e920 | 0x370000 |
| 8 | blk.0.ffn_down.weight | 0x2f1ce920 | 0x8340000 |
| 9 | blk.0.ffn_gate.weight | 0x3750e920 | 0x5a00000 |
| 10 | blk.0.ffn_norm.weight | 0x3cf0e920 | 0x5000 |
| 11 | blk.0.ffn_up.weight | 0x3cf13920 | 0x5a00000 |
| 12 | blk.1.attn_k.weight | 0x42913920 | 0x2d0000 |
| 13 | blk.1.attn_norm.weight | 0x42be3920 | 0x5000 |
| 14 | blk.1.attn_output.weight | 0x42be8920 | 0xdc0000 |
| 15 | blk.1.attn_q.weight | 0x439a8920 | 0xb40000 |
| 16 | blk.1.attn_v.weight | 0x444e8920 | 0x370000 |
| 17 | blk.1.ffn_down.weight | 0x44858920 | 0x8340000 |
| 18 | blk.1.ffn_gate.weight | 0x4cb98920 | 0x5a00000 |
| 19 | blk.1.ffn_norm.weight | 0x52598920 | 0x5000 |
| 20 | blk.1.ffn_up.weight | 0x5259d920 | 0x5a00000 |
| 21 | blk.2.attn_k.weight | 0x57f9d920 | 0x2d0000 |
| 22 | blk.2.attn_norm.weight | 0x5826d920 | 0x5000 |
| 23 | blk.2.attn_output.weight | 0x58272920 | 0xdc0000 |
| 24 | blk.2.attn_q.weight | 0x59032920 | 0xb40000 |
| 25 | blk.2.attn_v.weight | 0x59b72920 | 0x370000 |
| 26 | blk.2.ffn_down.weight | 0x59ee2920 | 0x8340000 |
| 27 | blk.2.ffn_gate.weight | 0x62222920 | 0x5a00000 |
| 28 | blk.2.ffn_norm.weight | 0x67c22920 | 0x5000 |
| 29 | blk.2.ffn_up.weight | 0x67c27920 | 0x5a00000 |
| 30 | blk.3.attn_k.weight | 0x6d627920 | 0x2d0000 |
| 31 | blk.3.attn_norm.weight | 0x6d8f7920 | 0x5000 |
| 32 | blk.3.attn_output.weight | 0x6d8fc920 | 0xdc0000 |
| 33 | blk.3.attn_q.weight | 0x6e6bc920 | 0xb40000 |
| 34 | blk.3.attn_v.weight | 0x6f1fc920 | 0x370000 |
| 35 | blk.3.ffn_down.weight | 0x6f56c920 | 0x8340000 |
| 36 | blk.3.ffn_gate.weight | 0x778ac920 | 0x5a00000 |
| 37 | blk.3.ffn_norm.weight | 0x7d2ac920 | 0x5000 |
| 38 | blk.3.ffn_up.weight | 0x7d2b1920 | 0x5a00000 |
| 39 | blk.4.attn_k.weight | 0x82cb1920 | 0x2d0000 |
| 40 | blk.4.attn_norm.weight | 0x82f81920 | 0x5000 |
| 41 | blk.4.attn_output.weight | 0x82f86920 | 0xdc0000 |
| 42 | blk.4.attn_q.weight | 0x83d46920 | 0xb40000 |
| 43 | blk.4.attn_v.weight | 0x84886920 | 0x370000 |
| 44 | blk.4.ffn_down.weight | 0x84bf6920 | 0x8340000 |
| 45 | blk.4.ffn_gate.weight | 0x8cf36920 | 0x5a00000 |
| 46 | blk.4.ffn_norm.weight | 0x92936920 | 0x5000 |
| 47 | blk.4.ffn_up.weight | 0x9293b920 | 0x5a00000 |
| 48 | blk.5.attn_k.weight | 0x9833b920 | 0x2d0000 |
| 49 | blk.5.attn_norm.weight | 0x9860b920 | 0x5000 |
| 50 | blk.5.attn_output.weight | 0x98610920 | 0xdc0000 |
| 51 | blk.5.attn_q.weight | 0x993d0920 | 0xb40000 |
| 52 | blk.5.attn_v.weight | 0x99f10920 | 0x41a000 |
| 53 | blk.5.ffn_down.weight | 0x9a32a920 | 0x6e00000 |
| 54 | blk.5.ffn_gate.weight | 0xa112a920 | 0x5a00000 |
| 55 | blk.5.ffn_norm.weight | 0xa6b2a920 | 0x5000 |
| 56 | blk.5.ffn_up.weight | 0xa6b2f920 | 0x5a00000 |
| 57 | blk.6.attn_k.weight | 0xac52f920 | 0x2d0000 |
| 58 | blk.6.attn_norm.weight | 0xac7ff920 | 0x5000 |
| 59 | blk.6.attn_output.weight | 0xac804920 | 0xdc0000 |
| 60 | blk.6.attn_q.weight | 0xad5c4920 | 0xb40000 |
| 61 | blk.6.attn_v.weight | 0xae104920 | 0x41a000 |
| 62 | blk.6.ffn_down.weight | 0xae51e920 | 0x6e00000 |
| 63 | blk.6.ffn_gate.weight | 0xb531e920 | 0x5a00000 |
| 64 | blk.6.ffn_norm.weight | 0xbad1e920 | 0x5000 |
| 65 | blk.6.ffn_up.weight | 0xbad23920 | 0x5a00000 |
| 66 | blk.7.attn_k.weight | 0xc0723920 | 0x2d0000 |
| 67 | blk.7.attn_norm.weight | 0xc09f3920 | 0x5000 |
| 68 | blk.7.attn_output.weight | 0xc09f8920 | 0xdc0000 |
| 69 | blk.7.attn_q.weight | 0xc17b8920 | 0xb40000 |
| 70 | blk.7.attn_v.weight | 0xc22f8920 | 0x370000 |
| 71 | blk.7.ffn_down.weight | 0xc2668920 | 0x8340000 |
| 72 | blk.7.ffn_gate.weight | 0xca9a8920 | 0x5a00000 |
| 73 | blk.7.ffn_norm.weight | 0xd03a8920 | 0x5000 |
| 74 | blk.7.ffn_up.weight | 0xd03ad920 | 0x5a00000 |
| 75 | blk.8.attn_k.weight | 0xd5dad920 | 0x2d0000 |
| 76 | blk.8.attn_norm.weight | 0xd607d920 | 0x5000 |
| 77 | blk.8.attn_output.weight | 0xd6082920 | 0xdc0000 |
| 78 | blk.8.attn_q.weight | 0xd6e42920 | 0xb40000 |
| 79 | blk.8.attn_v.weight | 0xd7982920 | 0x41a000 |
| 80 | blk.8.ffn_down.weight | 0xd7d9c920 | 0x6e00000 |
| 81 | blk.8.ffn_gate.weight | 0xdeb9c920 | 0x5a00000 |
| 82 | blk.8.ffn_norm.weight | 0xe459c920 | 0x5000 |
| 83 | blk.8.ffn_up.weight | 0xe45a1920 | 0x5a00000 |
| 84 | blk.9.attn_k.weight | 0xe9fa1920 | 0x2d0000 |
| 85 | blk.9.attn_norm.weight | 0xea271920 | 0x5000 |
| 86 | blk.9.attn_output.weight | 0xea276920 | 0xdc0000 |
| 87 | blk.9.attn_q.weight | 0xeb036920 | 0xb40000 |
| 88 | blk.9.attn_v.weight | 0xebb76920 | 0x41a000 |
| 89 | blk.9.ffn_down.weight | 0xebf90920 | 0x6e00000 |
| 90 | blk.9.ffn_gate.weight | 0xf2d90920 | 0x5a00000 |
| 91 | blk.9.ffn_norm.weight | 0xf8790920 | 0x5000 |
| 92 | blk.9.ffn_up.weight | 0xf8795920 | 0x5a00000 |
| 93 | blk.10.attn_k.weight | 0xfe195920 | 0x2d0000 |
| 94 | blk.10.attn_norm.weight | 0xfe465920 | 0x5000 |
| 95 | blk.10.attn_output.weight | 0xfe46a920 | 0xdc0000 |
| 96 | blk.10.attn_q.weight | 0xff22a920 | 0xb40000 |
| 97 | blk.10.attn_v.weight | 0xffd6a920 | 0x370000 |
| 98 | blk.10.ffn_down.weight | 0x1000da920 | 0x8340000 |
| 99 | blk.10.ffn_gate.weight | 0x10841a920 | 0x5a00000 |
| 100 | blk.10.ffn_norm.weight | 0x10de1a920 | 0x5000 |
| 101 | blk.10.ffn_up.weight | 0x10de1f920 | 0x5a00000 |
| 102 | blk.11.attn_k.weight | 0x11381f920 | 0x2d0000 |
| 103 | blk.11.attn_norm.weight | 0x113aef920 | 0x5000 |
| 104 | blk.11.attn_output.weight | 0x113af4920 | 0xdc0000 |
| 105 | blk.11.attn_q.weight | 0x1148b4920 | 0xb40000 |
| 106 | blk.11.attn_v.weight | 0x1153f4920 | 0x41a000 |
| 107 | blk.11.ffn_down.weight | 0x11580e920 | 0x6e00000 |
| 108 | blk.11.ffn_gate.weight | 0x11c60e920 | 0x5a00000 |
| 109 | blk.11.ffn_norm.weight | 0x12200e920 | 0x5000 |
| 110 | blk.11.ffn_up.weight | 0x122013920 | 0x5a00000 |
| 111 | blk.12.attn_k.weight | 0x127a13920 | 0x2d0000 |
| 112 | blk.12.attn_norm.weight | 0x127ce3920 | 0x5000 |
| 113 | blk.12.attn_output.weight | 0x127ce8920 | 0xdc0000 |
| 114 | blk.12.attn_q.weight | 0x128aa8920 | 0xb40000 |
| 115 | blk.12.attn_v.weight | 0x1295e8920 | 0x41a000 |
| 116 | blk.12.ffn_down.weight | 0x129a02920 | 0x6e00000 |
| 117 | blk.12.ffn_gate.weight | 0x130802920 | 0x5a00000 |
| 118 | blk.12.ffn_norm.weight | 0x136202920 | 0x5000 |
| 119 | blk.12.ffn_up.weight | 0x136207920 | 0x5a00000 |
| 120 | blk.13.attn_k.weight | 0x13bc07920 | 0x2d0000 |
| 121 | blk.13.attn_norm.weight | 0x13bed7920 | 0x5000 |
| 122 | blk.13.attn_output.weight | 0x13bedc920 | 0xdc0000 |
| 123 | blk.13.attn_q.weight | 0x13cc9c920 | 0xb40000 |
| 124 | blk.13.attn_v.weight | 0x13d7dc920 | 0x370000 |
| 125 | blk.13.ffn_down.weight | 0x13db4c920 | 0x8340000 |
| 126 | blk.13.ffn_gate.weight | 0x145e8c920 | 0x5a00000 |
| 127 | blk.13.ffn_norm.weight | 0x14b88c920 | 0x5000 |
| 128 | blk.13.ffn_up.weight | 0x14b891920 | 0x5a00000 |
| 129 | blk.14.attn_k.weight | 0x151291920 | 0x2d0000 |
| 130 | blk.14.attn_norm.weight | 0x151561920 | 0x5000 |
| 131 | blk.14.attn_output.weight | 0x151566920 | 0xdc0000 |
| 132 | blk.14.attn_q.weight | 0x152326920 | 0xb40000 |
| 133 | blk.14.attn_v.weight | 0x152e66920 | 0x41a000 |
| 134 | blk.14.ffn_down.weight | 0x153280920 | 0x6e00000 |
| 135 | blk.14.ffn_gate.weight | 0x15a080920 | 0x5a00000 |
| 136 | blk.14.ffn_norm.weight | 0x15fa80920 | 0x5000 |
| 137 | blk.14.ffn_up.weight | 0x15fa85920 | 0x5a00000 |
| 138 | blk.15.attn_k.weight | 0x165485920 | 0x2d0000 |
| 139 | blk.15.attn_norm.weight | 0x165755920 | 0x5000 |
| 140 | blk.15.attn_output.weight | 0x16575a920 | 0xdc0000 |
| 141 | blk.15.attn_q.weight | 0x16651a920 | 0xb40000 |
| 142 | blk.15.attn_v.weight | 0x16705a920 | 0x41a000 |
| 143 | blk.15.ffn_down.weight | 0x167474920 | 0x6e00000 |
| 144 | blk.15.ffn_gate.weight | 0x16e274920 | 0x5a00000 |
| 145 | blk.15.ffn_norm.weight | 0x173c74920 | 0x5000 |
| 146 | blk.15.ffn_up.weight | 0x173c79920 | 0x5a00000 |
| 147 | blk.16.attn_k.weight | 0x179679920 | 0x2d0000 |
| 148 | blk.16.attn_norm.weight | 0x179949920 | 0x5000 |
| 149 | blk.16.attn_output.weight | 0x17994e920 | 0xdc0000 |
| 150 | blk.16.attn_q.weight | 0x17a70e920 | 0xb40000 |
| 151 | blk.16.attn_v.weight | 0x17b24e920 | 0x370000 |
| 152 | blk.16.ffn_down.weight | 0x17b5be920 | 0x8340000 |
| 153 | blk.16.ffn_gate.weight | 0x1838fe920 | 0x5a00000 |
| 154 | blk.16.ffn_norm.weight | 0x1892fe920 | 0x5000 |
| 155 | blk.16.ffn_up.weight | 0x189303920 | 0x5a00000 |
| 156 | blk.17.attn_k.weight | 0x18ed03920 | 0x2d0000 |
| 157 | blk.17.attn_norm.weight | 0x18efd3920 | 0x5000 |
| 158 | blk.17.attn_output.weight | 0x18efd8920 | 0xdc0000 |
| 159 | blk.17.attn_q.weight | 0x18fd98920 | 0xb40000 |
| 160 | blk.17.attn_v.weight | 0x1908d8920 | 0x41a000 |
| 161 | blk.17.ffn_down.weight | 0x190cf2920 | 0x6e00000 |
| 162 | blk.17.ffn_gate.weight | 0x197af2920 | 0x5a00000 |
| 163 | blk.17.ffn_norm.weight | 0x19d4f2920 | 0x5000 |
| 164 | blk.17.ffn_up.weight | 0x19d4f7920 | 0x5a00000 |
| 165 | blk.18.attn_k.weight | 0x1a2ef7920 | 0x2d0000 |
| 166 | blk.18.attn_norm.weight | 0x1a31c7920 | 0x5000 |
| 167 | blk.18.attn_output.weight | 0x1a31cc920 | 0xdc0000 |
| 168 | blk.18.attn_q.weight | 0x1a3f8c920 | 0xb40000 |
| 169 | blk.18.attn_v.weight | 0x1a4acc920 | 0x41a000 |
| 170 | blk.18.ffn_down.weight | 0x1a4ee6920 | 0x6e00000 |
| 171 | blk.18.ffn_gate.weight | 0x1abce6920 | 0x5a00000 |
| 172 | blk.18.ffn_norm.weight | 0x1b16e6920 | 0x5000 |
| 173 | blk.18.ffn_up.weight | 0x1b16eb920 | 0x5a00000 |
| 174 | blk.19.attn_k.weight | 0x1b70eb920 | 0x2d0000 |
| 175 | blk.19.attn_norm.weight | 0x1b73bb920 | 0x5000 |
| 176 | blk.19.attn_output.weight | 0x1b73c0920 | 0xdc0000 |
| 177 | blk.19.attn_q.weight | 0x1b8180920 | 0xb40000 |
| 178 | blk.19.attn_v.weight | 0x1b8cc0920 | 0x370000 |
| 179 | blk.19.ffn_down.weight | 0x1b9030920 | 0x8340000 |
| 180 | blk.19.ffn_gate.weight | 0x1c1370920 | 0x5a00000 |
| 181 | blk.19.ffn_norm.weight | 0x1c6d70920 | 0x5000 |
| 182 | blk.19.ffn_up.weight | 0x1c6d75920 | 0x5a00000 |
| 183 | blk.20.attn_k.weight | 0x1cc775920 | 0x2d0000 |
| 184 | blk.20.attn_norm.weight | 0x1cca45920 | 0x5000 |
| 185 | blk.20.attn_output.weight | 0x1cca4a920 | 0xdc0000 |
| 186 | blk.20.attn_q.weight | 0x1cd80a920 | 0xb40000 |
| 187 | blk.20.attn_v.weight | 0x1ce34a920 | 0x41a000 |
| 188 | blk.20.ffn_down.weight | 0x1ce764920 | 0x6e00000 |
| 189 | blk.20.ffn_gate.weight | 0x1d5564920 | 0x5a00000 |
| 190 | blk.20.ffn_norm.weight | 0x1daf64920 | 0x5000 |
| 191 | blk.20.ffn_up.weight | 0x1daf69920 | 0x5a00000 |
| 192 | blk.21.attn_k.weight | 0x1e0969920 | 0x2d0000 |
| 193 | blk.21.attn_norm.weight | 0x1e0c39920 | 0x5000 |
| 194 | blk.21.attn_output.weight | 0x1e0c3e920 | 0xdc0000 |
| 195 | blk.21.attn_q.weight | 0x1e19fe920 | 0xb40000 |
| 196 | blk.21.attn_v.weight | 0x1e253e920 | 0x41a000 |
| 197 | blk.21.ffn_down.weight | 0x1e2958920 | 0x6e00000 |
| 198 | blk.21.ffn_gate.weight | 0x1e9758920 | 0x5a00000 |
| 199 | blk.21.ffn_norm.weight | 0x1ef158920 | 0x5000 |
| 200 | blk.21.ffn_up.weight | 0x1ef15d920 | 0x5a00000 |
| 201 | blk.22.attn_k.weight | 0x1f4b5d920 | 0x2d0000 |
| 202 | blk.22.attn_norm.weight | 0x1f4e2d920 | 0x5000 |
| 203 | blk.22.attn_output.weight | 0x1f4e32920 | 0xdc0000 |
| 204 | blk.22.attn_q.weight | 0x1f5bf2920 | 0xb40000 |
| 205 | blk.22.attn_v.weight | 0x1f6732920 | 0x370000 |
| 206 | blk.22.ffn_down.weight | 0x1f6aa2920 | 0x8340000 |
| 207 | blk.22.ffn_gate.weight | 0x1fede2920 | 0x5a00000 |
| 208 | blk.22.ffn_norm.weight | 0x2047e2920 | 0x5000 |
| 209 | blk.22.ffn_up.weight | 0x2047e7920 | 0x5a00000 |
| 210 | blk.23.attn_k.weight | 0x20a1e7920 | 0x2d0000 |
| 211 | blk.23.attn_norm.weight | 0x20a4b7920 | 0x5000 |
| 212 | blk.23.attn_output.weight | 0x20a4bc920 | 0xdc0000 |
| 213 | blk.23.attn_q.weight | 0x20b27c920 | 0xb40000 |
| 214 | blk.23.attn_v.weight | 0x20bdbc920 | 0x41a000 |
| 215 | blk.23.ffn_down.weight | 0x20c1d6920 | 0x6e00000 |
| 216 | blk.23.ffn_gate.weight | 0x212fd6920 | 0x5a00000 |
| 217 | blk.23.ffn_norm.weight | 0x2189d6920 | 0x5000 |
| 218 | blk.23.ffn_up.weight | 0x2189db920 | 0x5a00000 |
| 219 | blk.24.attn_k.weight | 0x21e3db920 | 0x2d0000 |
| 220 | blk.24.attn_norm.weight | 0x21e6ab920 | 0x5000 |
| 221 | blk.24.attn_output.weight | 0x21e6b0920 | 0xdc0000 |
| 222 | blk.24.attn_q.weight | 0x21f470920 | 0xb40000 |
| 223 | blk.24.attn_v.weight | 0x21ffb0920 | 0x41a000 |
| 224 | blk.24.ffn_down.weight | 0x2203ca920 | 0x6e00000 |
| 225 | blk.24.ffn_gate.weight | 0x2271ca920 | 0x5a00000 |
| 226 | blk.24.ffn_norm.weight | 0x22cbca920 | 0x5000 |
| 227 | blk.24.ffn_up.weight | 0x22cbcf920 | 0x5a00000 |
| 228 | blk.25.attn_k.weight | 0x2325cf920 | 0x370000 |
| 229 | blk.25.attn_norm.weight | 0x23293f920 | 0x5000 |
| 230 | blk.25.attn_output.weight | 0x232944920 | 0xdc0000 |
| 231 | blk.25.attn_q.weight | 0x233704920 | 0xdc0000 |
| 232 | blk.25.attn_v.weight | 0x2344c4920 | 0x41a000 |
| 233 | blk.25.ffn_down.weight | 0x2348de920 | 0x8340000 |
| 234 | blk.25.ffn_gate.weight | 0x23cc1e920 | 0x5a00000 |
| 235 | blk.25.ffn_norm.weight | 0x24261e920 | 0x5000 |
| 236 | blk.25.ffn_up.weight | 0x242623920 | 0x5a00000 |
| 237 | blk.26.attn_k.weight | 0x248023920 | 0x2d0000 |
| 238 | blk.26.attn_norm.weight | 0x2482f3920 | 0x5000 |
| 239 | blk.26.attn_output.weight | 0x2482f8920 | 0xdc0000 |
| 240 | blk.26.attn_q.weight | 0x2490b8920 | 0xb40000 |
| 241 | blk.26.attn_v.weight | 0x249bf8920 | 0x41a000 |
| 242 | blk.26.ffn_down.weight | 0x24a012920 | 0x6e00000 |
| 243 | blk.26.ffn_gate.weight | 0x250e12920 | 0x5a00000 |
| 244 | blk.26.ffn_norm.weight | 0x256812920 | 0x5000 |
| 245 | blk.26.ffn_up.weight | 0x256817920 | 0x5a00000 |
| 246 | blk.27.attn_k.weight | 0x25c217920 | 0x2d0000 |
| 247 | blk.27.attn_norm.weight | 0x25c4e7920 | 0x5000 |
| 248 | blk.27.attn_output.weight | 0x25c4ec920 | 0xdc0000 |
| 249 | blk.27.attn_q.weight | 0x25d2ac920 | 0xb40000 |
| 250 | blk.27.attn_v.weight | 0x25ddec920 | 0x41a000 |
| 251 | blk.27.ffn_down.weight | 0x25e206920 | 0x6e00000 |
| 252 | blk.27.ffn_gate.weight | 0x265006920 | 0x5a00000 |
| 253 | blk.27.ffn_norm.weight | 0x26aa06920 | 0x5000 |
| 254 | blk.27.ffn_up.weight | 0x26aa0b920 | 0x5a00000 |
| 255 | blk.28.attn_k.weight | 0x27040b920 | 0x370000 |
| 256 | blk.28.attn_norm.weight | 0x27077b920 | 0x5000 |
| 257 | blk.28.attn_output.weight | 0x270780920 | 0xdc0000 |
| 258 | blk.28.attn_q.weight | 0x271540920 | 0xdc0000 |
| 259 | blk.28.attn_v.weight | 0x272300920 | 0x41a000 |
| 260 | blk.28.ffn_down.weight | 0x27271a920 | 0x8340000 |
| 261 | blk.28.ffn_gate.weight | 0x27aa5a920 | 0x5a00000 |
| 262 | blk.28.ffn_norm.weight | 0x28045a920 | 0x5000 |
| 263 | blk.28.ffn_up.weight | 0x28045f920 | 0x5a00000 |
| 264 | blk.29.attn_k.weight | 0x285e5f920 | 0x2d0000 |
| 265 | blk.29.attn_norm.weight | 0x28612f920 | 0x5000 |
| 266 | blk.29.attn_output.weight | 0x286134920 | 0xdc0000 |
| 267 | blk.29.attn_q.weight | 0x286ef4920 | 0xb40000 |
| 268 | blk.29.attn_v.weight | 0x287a34920 | 0x41a000 |
| 269 | blk.29.ffn_down.weight | 0x287e4e920 | 0x6e00000 |
| 270 | blk.29.ffn_gate.weight | 0x28ec4e920 | 0x5a00000 |
| 271 | blk.29.ffn_norm.weight | 0x29464e920 | 0x5000 |
| 272 | blk.29.ffn_up.weight | 0x294653920 | 0x5a00000 |
| 273 | blk.30.attn_k.weight | 0x29a053920 | 0x370000 |
| 274 | blk.30.attn_norm.weight | 0x29a3c3920 | 0x5000 |
| 275 | blk.30.attn_output.weight | 0x29a3c8920 | 0xdc0000 |
| 276 | blk.30.attn_q.weight | 0x29b188920 | 0xdc0000 |
| 277 | blk.30.attn_v.weight | 0x29bf48920 | 0x41a000 |
| 278 | blk.30.ffn_down.weight | 0x29c362920 | 0x6e00000 |
| 279 | blk.30.ffn_gate.weight | 0x2a3162920 | 0x6e00000 |
| 280 | blk.30.ffn_norm.weight | 0x2a9f62920 | 0x5000 |
| 281 | blk.30.ffn_up.weight | 0x2a9f67920 | 0x6e00000 |
| 282 | blk.31.attn_k.weight | 0x2b0d67920 | 0x2d0000 |
| 283 | blk.31.attn_norm.weight | 0x2b1037920 | 0x5000 |
| 284 | blk.31.attn_output.weight | 0x2b103c920 | 0xdc0000 |
| 285 | blk.31.attn_q.weight | 0x2b1dfc920 | 0xb40000 |
| 286 | blk.31.attn_v.weight | 0x2b293c920 | 0x370000 |
| 287 | blk.31.ffn_down.weight | 0x2b2cac920 | 0x8340000 |
| 288 | blk.31.ffn_gate.weight | 0x2bafec920 | 0x6e00000 |
| 289 | blk.31.ffn_norm.weight | 0x2c1dec920 | 0x5000 |
| 290 | blk.31.ffn_up.weight | 0x2c1df1920 | 0x6e00000 |
| 291 | blk.32.attn_k.weight | 0x2c8bf1920 | 0x370000 |
| 292 | blk.32.attn_norm.weight | 0x2c8f61920 | 0x5000 |
| 293 | blk.32.attn_output.weight | 0x2c8f66920 | 0xdc0000 |
| 294 | blk.32.attn_q.weight | 0x2c9d26920 | 0xdc0000 |
| 295 | blk.32.attn_v.weight | 0x2caae6920 | 0x41a000 |
| 296 | blk.32.ffn_down.weight | 0x2caf00920 | 0x6e00000 |
| 297 | blk.32.ffn_gate.weight | 0x2d1d00920 | 0x6e00000 |
| 298 | blk.32.ffn_norm.weight | 0x2d8b00920 | 0x5000 |
| 299 | blk.32.ffn_up.weight | 0x2d8b05920 | 0x6e00000 |
| 300 | blk.33.attn_k.weight | 0x2df905920 | 0x370000 |
| 301 | blk.33.attn_norm.weight | 0x2dfc75920 | 0x5000 |
| 302 | blk.33.attn_output.weight | 0x2dfc7a920 | 0xdc0000 |
| 303 | blk.33.attn_q.weight | 0x2e0a3a920 | 0xdc0000 |
| 304 | blk.33.attn_v.weight | 0x2e17fa920 | 0x41a000 |
| 305 | blk.33.ffn_down.weight | 0x2e1c14920 | 0x6e00000 |
| 306 | blk.33.ffn_gate.weight | 0x2e8a14920 | 0x6e00000 |
| 307 | blk.33.ffn_norm.weight | 0x2ef814920 | 0x5000 |
| 308 | blk.33.ffn_up.weight | 0x2ef819920 | 0x6e00000 |
| 309 | blk.34.attn_k.weight | 0x2f6619920 | 0x370000 |
| 310 | blk.34.attn_norm.weight | 0x2f6989920 | 0x5000 |
| 311 | blk.34.attn_output.weight | 0x2f698e920 | 0xdc0000 |
| 312 | blk.34.attn_q.weight | 0x2f774e920 | 0xdc0000 |
| 313 | blk.34.attn_v.weight | 0x2f850e920 | 0x41a000 |
| 314 | blk.34.ffn_down.weight | 0x2f8928920 | 0x8340000 |
| 315 | blk.34.ffn_gate.weight | 0x300c68920 | 0x6e00000 |
| 316 | blk.34.ffn_norm.weight | 0x307a68920 | 0x5000 |
| 317 | blk.34.ffn_up.weight | 0x307a6d920 | 0x6e00000 |
| 318 | blk.35.attn_k.weight | 0x30e86d920 | 0x370000 |
| 319 | blk.35.attn_norm.weight | 0x30ebdd920 | 0x5000 |
| 320 | blk.35.attn_output.weight | 0x30ebe2920 | 0xdc0000 |
| 321 | blk.35.attn_q.weight | 0x30f9a2920 | 0xdc0000 |
| 322 | blk.35.attn_v.weight | 0x310762920 | 0x41a000 |
| 323 | blk.35.ffn_down.weight | 0x310b7c920 | 0x8340000 |
| 324 | blk.35.ffn_gate.weight | 0x318ebc920 | 0x6e00000 |
| 325 | blk.35.ffn_norm.weight | 0x31fcbc920 | 0x5000 |
| 326 | blk.35.ffn_up.weight | 0x31fcc1920 | 0x6e00000 |
| 327 | blk.36.attn_k.weight | 0x326ac1920 | 0x370000 |
| 328 | blk.36.attn_norm.weight | 0x326e31920 | 0x5000 |
| 329 | blk.36.attn_output.weight | 0x326e36920 | 0xdc0000 |
| 330 | blk.36.attn_q.weight | 0x327bf6920 | 0xdc0000 |
| 331 | blk.36.attn_v.weight | 0x3289b6920 | 0x41a000 |
| 332 | blk.36.ffn_down.weight | 0x328dd0920 | 0x8340000 |
| 333 | blk.36.ffn_gate.weight | 0x331110920 | 0x6e00000 |
| 334 | blk.36.ffn_norm.weight | 0x337f10920 | 0x5000 |
| 335 | blk.36.ffn_up.weight | 0x337f15920 | 0x6e00000 |
| 336 | blk.37.attn_k.weight | 0x33ed15920 | 0x370000 |
| 337 | blk.37.attn_norm.weight | 0x33f085920 | 0x5000 |
| 338 | blk.37.attn_output.weight | 0x33f08a920 | 0xdc0000 |
| 339 | blk.37.attn_q.weight | 0x33fe4a920 | 0xdc0000 |
| 340 | blk.37.attn_v.weight | 0x340c0a920 | 0x41a000 |
| 341 | blk.37.ffn_down.weight | 0x341024920 | 0x8340000 |
| 342 | blk.37.ffn_gate.weight | 0x349364920 | 0x6e00000 |
| 343 | blk.37.ffn_norm.weight | 0x350164920 | 0x5000 |
| 344 | blk.37.ffn_up.weight | 0x350169920 | 0x6e00000 |
| 345 | blk.38.attn_k.weight | 0x356f69920 | 0x370000 |
| 346 | blk.38.attn_norm.weight | 0x3572d9920 | 0x5000 |
| 347 | blk.38.attn_output.weight | 0x3572de920 | 0xdc0000 |
| 348 | blk.38.attn_q.weight | 0x35809e920 | 0xdc0000 |
| 349 | blk.38.attn_v.weight | 0x358e5e920 | 0x41a000 |
| 350 | blk.38.ffn_down.weight | 0x359278920 | 0x8340000 |
| 351 | blk.38.ffn_gate.weight | 0x3615b8920 | 0x6e00000 |
| 352 | blk.38.ffn_norm.weight | 0x3683b8920 | 0x5000 |
| 353 | blk.38.ffn_up.weight | 0x3683bd920 | 0x6e00000 |
| 354 | blk.39.attn_k.weight | 0x36f1bd920 | 0x2d0000 |
| 355 | blk.39.attn_norm.weight | 0x36f48d920 | 0x5000 |
| 356 | blk.39.attn_output.weight | 0x36f492920 | 0xdc0000 |
| 357 | blk.39.attn_q.weight | 0x370252920 | 0xb40000 |
| 358 | blk.39.attn_v.weight | 0x370d92920 | 0x370000 |
| 359 | blk.39.ffn_down.weight | 0x371102920 | 0x8340000 |
| 360 | blk.39.ffn_gate.weight | 0x379442920 | 0x6e00000 |
| 361 | blk.39.ffn_norm.weight | 0x380242920 | 0x5000 |
| 362 | blk.39.ffn_up.weight | 0x380247920 | 0x6e00000 |
Base Tensor Group : ~1B Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 0 | output.weight | Output (W) | (~671M) 671088640 | 5120 x 131072 x 1 x 1 | Q5_K |
| 1 | output_norm.weight | Output Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 2 | token_embd.weight | Token Embedding (W) | (~671M) 671088640 | 5120 x 131072 x 1 x 1 | Q3_K |
- Total elements in base: ( ~1B) 1342182400
- Percentage of total elements: 5.69%
Block 0 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 3 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 4 | blk.0.attn_norm.weight | Block 0 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 5 | blk.0.attn_output.weight | Block 0 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 7 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 8 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 9 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 10 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 11 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.0: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 1 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 12 | blk.1.attn_k.weight | Block 1 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 13 | blk.1.attn_norm.weight | Block 1 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 14 | blk.1.attn_output.weight | Block 1 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 15 | blk.1.attn_q.weight | Block 1 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 16 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 17 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 18 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 19 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 20 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.1: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 2 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 21 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 22 | blk.2.attn_norm.weight | Block 2 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 23 | blk.2.attn_output.weight | Block 2 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 24 | blk.2.attn_q.weight | Block 2 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 25 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 26 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 27 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 28 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 29 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.2: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 3 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 30 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 31 | blk.3.attn_norm.weight | Block 3 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 32 | blk.3.attn_output.weight | Block 3 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 33 | blk.3.attn_q.weight | Block 3 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 34 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 35 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 36 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 37 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 38 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.3: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 4 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 39 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 40 | blk.4.attn_norm.weight | Block 4 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 41 | blk.4.attn_output.weight | Block 4 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 42 | blk.4.attn_q.weight | Block 4 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 43 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 44 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 45 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 46 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 47 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.4: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 5 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 48 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 49 | blk.5.attn_norm.weight | Block 5 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 50 | blk.5.attn_output.weight | Block 5 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 51 | blk.5.attn_q.weight | Block 5 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 52 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 53 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 54 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 55 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 56 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.5: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 6 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 57 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 58 | blk.6.attn_norm.weight | Block 6 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 59 | blk.6.attn_output.weight | Block 6 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 60 | blk.6.attn_q.weight | Block 6 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 61 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 62 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 63 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 64 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 65 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.6: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 7 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 66 | blk.7.attn_k.weight | Block 7 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 67 | blk.7.attn_norm.weight | Block 7 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 68 | blk.7.attn_output.weight | Block 7 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 69 | blk.7.attn_q.weight | Block 7 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 70 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 71 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 72 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 73 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 74 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.7: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 8 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 75 | blk.8.attn_k.weight | Block 8 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 76 | blk.8.attn_norm.weight | Block 8 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 77 | blk.8.attn_output.weight | Block 8 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 78 | blk.8.attn_q.weight | Block 8 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 79 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 80 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 81 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 82 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 83 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.8: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 9 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 84 | blk.9.attn_k.weight | Block 9 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 85 | blk.9.attn_norm.weight | Block 9 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 86 | blk.9.attn_output.weight | Block 9 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 87 | blk.9.attn_q.weight | Block 9 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 88 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 89 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 90 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 91 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 92 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.9: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 10 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 93 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 94 | blk.10.attn_norm.weight | Block 10 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 95 | blk.10.attn_output.weight | Block 10 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 96 | blk.10.attn_q.weight | Block 10 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 97 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 98 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 99 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 100 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 101 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.10: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 11 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 102 | blk.11.attn_k.weight | Block 11 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 103 | blk.11.attn_norm.weight | Block 11 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 104 | blk.11.attn_output.weight | Block 11 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 105 | blk.11.attn_q.weight | Block 11 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 106 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 107 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 108 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 109 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 110 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.11: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 12 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 111 | blk.12.attn_k.weight | Block 12 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 112 | blk.12.attn_norm.weight | Block 12 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 113 | blk.12.attn_output.weight | Block 12 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 114 | blk.12.attn_q.weight | Block 12 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 115 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 116 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 117 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 118 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 119 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.12: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 13 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 120 | blk.13.attn_k.weight | Block 13 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 121 | blk.13.attn_norm.weight | Block 13 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 122 | blk.13.attn_output.weight | Block 13 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 123 | blk.13.attn_q.weight | Block 13 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 124 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 125 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 126 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 127 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 128 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.13: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 14 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 129 | blk.14.attn_k.weight | Block 14 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 130 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 131 | blk.14.attn_output.weight | Block 14 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 132 | blk.14.attn_q.weight | Block 14 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 133 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 134 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 135 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 136 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 137 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.14: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 15 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 138 | blk.15.attn_k.weight | Block 15 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 139 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 140 | blk.15.attn_output.weight | Block 15 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 141 | blk.15.attn_q.weight | Block 15 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 142 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 143 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 144 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 145 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 146 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.15: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 16 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 147 | blk.16.attn_k.weight | Block 16 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 148 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 149 | blk.16.attn_output.weight | Block 16 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 150 | blk.16.attn_q.weight | Block 16 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 151 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 152 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 153 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 154 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 155 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.16: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 17 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 156 | blk.17.attn_k.weight | Block 17 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 157 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 158 | blk.17.attn_output.weight | Block 17 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 159 | blk.17.attn_q.weight | Block 17 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 160 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 161 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 162 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 163 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 164 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.17: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 18 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 165 | blk.18.attn_k.weight | Block 18 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 166 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 167 | blk.18.attn_output.weight | Block 18 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 168 | blk.18.attn_q.weight | Block 18 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 169 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 170 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 171 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 172 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 173 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.18: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 19 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 174 | blk.19.attn_k.weight | Block 19 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 175 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 176 | blk.19.attn_output.weight | Block 19 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 177 | blk.19.attn_q.weight | Block 19 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 178 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 179 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 180 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 181 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 182 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.19: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 20 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 183 | blk.20.attn_k.weight | Block 20 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 184 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 185 | blk.20.attn_output.weight | Block 20 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 186 | blk.20.attn_q.weight | Block 20 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 187 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 188 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 189 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 190 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 191 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.20: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 21 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 192 | blk.21.attn_k.weight | Block 21 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 193 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 194 | blk.21.attn_output.weight | Block 21 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 195 | blk.21.attn_q.weight | Block 21 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 196 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 197 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 198 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 199 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 200 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.21: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 22 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 201 | blk.22.attn_k.weight | Block 22 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 202 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 203 | blk.22.attn_output.weight | Block 22 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 204 | blk.22.attn_q.weight | Block 22 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 205 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 206 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 207 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 208 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 209 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.22: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 23 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 210 | blk.23.attn_k.weight | Block 23 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 211 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 212 | blk.23.attn_output.weight | Block 23 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 213 | blk.23.attn_q.weight | Block 23 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 214 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 215 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 216 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 217 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 218 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.23: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 24 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 219 | blk.24.attn_k.weight | Block 24 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 220 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 221 | blk.24.attn_output.weight | Block 24 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 222 | blk.24.attn_q.weight | Block 24 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 223 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 224 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 225 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 226 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 227 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.24: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 25 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 228 | blk.25.attn_k.weight | Block 25 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 229 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 230 | blk.25.attn_output.weight | Block 25 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 231 | blk.25.attn_q.weight | Block 25 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 232 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 233 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 234 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 235 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 236 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.25: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 26 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 237 | blk.26.attn_k.weight | Block 26 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 238 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 239 | blk.26.attn_output.weight | Block 26 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 240 | blk.26.attn_q.weight | Block 26 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 241 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 242 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 243 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 244 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 245 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.26: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 27 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 246 | blk.27.attn_k.weight | Block 27 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 247 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 248 | blk.27.attn_output.weight | Block 27 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 249 | blk.27.attn_q.weight | Block 27 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 250 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 251 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 252 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 253 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 254 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.27: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 28 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 255 | blk.28.attn_k.weight | Block 28 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 256 | blk.28.attn_norm.weight | Block 28 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 257 | blk.28.attn_output.weight | Block 28 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 258 | blk.28.attn_q.weight | Block 28 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 259 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 260 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 261 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 262 | blk.28.ffn_norm.weight | Block 28 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 263 | blk.28.ffn_up.weight | Block 28 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.28: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 29 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 264 | blk.29.attn_k.weight | Block 29 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 265 | blk.29.attn_norm.weight | Block 29 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 266 | blk.29.attn_output.weight | Block 29 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 267 | blk.29.attn_q.weight | Block 29 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 268 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 269 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 270 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
| 271 | blk.29.ffn_norm.weight | Block 29 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 272 | blk.29.ffn_up.weight | Block 29 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K |
- Total elements in blk.29: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 30 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 273 | blk.30.attn_k.weight | Block 30 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 274 | blk.30.attn_norm.weight | Block 30 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 275 | blk.30.attn_output.weight | Block 30 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 276 | blk.30.attn_q.weight | Block 30 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 277 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 278 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 279 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 280 | blk.30.ffn_norm.weight | Block 30 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 281 | blk.30.ffn_up.weight | Block 30 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.30: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 31 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 282 | blk.31.attn_k.weight | Block 31 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 283 | blk.31.attn_norm.weight | Block 31 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 284 | blk.31.attn_output.weight | Block 31 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 285 | blk.31.attn_q.weight | Block 31 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 286 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 287 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 288 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 289 | blk.31.ffn_norm.weight | Block 31 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 290 | blk.31.ffn_up.weight | Block 31 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.31: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 32 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 291 | blk.32.attn_k.weight | Block 32 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 292 | blk.32.attn_norm.weight | Block 32 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 293 | blk.32.attn_output.weight | Block 32 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 294 | blk.32.attn_q.weight | Block 32 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 295 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 296 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 297 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 298 | blk.32.ffn_norm.weight | Block 32 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 299 | blk.32.ffn_up.weight | Block 32 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.32: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 33 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 300 | blk.33.attn_k.weight | Block 33 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 301 | blk.33.attn_norm.weight | Block 33 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 302 | blk.33.attn_output.weight | Block 33 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 303 | blk.33.attn_q.weight | Block 33 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 304 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 305 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 306 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 307 | blk.33.ffn_norm.weight | Block 33 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 308 | blk.33.ffn_up.weight | Block 33 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.33: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 34 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 309 | blk.34.attn_k.weight | Block 34 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 310 | blk.34.attn_norm.weight | Block 34 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 311 | blk.34.attn_output.weight | Block 34 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 312 | blk.34.attn_q.weight | Block 34 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 313 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 314 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 315 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 316 | blk.34.ffn_norm.weight | Block 34 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 317 | blk.34.ffn_up.weight | Block 34 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.34: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 35 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 318 | blk.35.attn_k.weight | Block 35 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 319 | blk.35.attn_norm.weight | Block 35 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 320 | blk.35.attn_output.weight | Block 35 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 321 | blk.35.attn_q.weight | Block 35 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 322 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 323 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 324 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 325 | blk.35.ffn_norm.weight | Block 35 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 326 | blk.35.ffn_up.weight | Block 35 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.35: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 36 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 327 | blk.36.attn_k.weight | Block 36 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 328 | blk.36.attn_norm.weight | Block 36 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 329 | blk.36.attn_output.weight | Block 36 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 330 | blk.36.attn_q.weight | Block 36 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 331 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 332 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 333 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 334 | blk.36.ffn_norm.weight | Block 36 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 335 | blk.36.ffn_up.weight | Block 36 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.36: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 37 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 336 | blk.37.attn_k.weight | Block 37 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 337 | blk.37.attn_norm.weight | Block 37 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 338 | blk.37.attn_output.weight | Block 37 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 339 | blk.37.attn_q.weight | Block 37 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 340 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 341 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 342 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 343 | blk.37.ffn_norm.weight | Block 37 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 344 | blk.37.ffn_up.weight | Block 37 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.37: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 38 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 345 | blk.38.attn_k.weight | Block 38 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 346 | blk.38.attn_norm.weight | Block 38 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 347 | blk.38.attn_output.weight | Block 38 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 348 | blk.38.attn_q.weight | Block 38 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q5_K |
| 349 | blk.38.attn_v.weight | Block 38 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K |
| 350 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 351 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 352 | blk.38.ffn_norm.weight | Block 38 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 353 | blk.38.ffn_up.weight | Block 38 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.38: (~556M) 555755520
- Percentage of total elements: 2.36%
Block 39 Tensor Group : ~556M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type |
|---|---|---|---|---|---|
| 354 | blk.39.attn_k.weight | Block 39 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 355 | blk.39.attn_norm.weight | Block 39 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 356 | blk.39.attn_output.weight | Block 39 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q5_K |
| 357 | blk.39.attn_q.weight | Block 39 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 358 | blk.39.attn_v.weight | Block 39 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q5_K |
| 359 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K |
| 360 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
| 361 | blk.39.ffn_norm.weight | Block 39 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 |
| 362 | blk.39.ffn_up.weight | Block 39 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q5_K |
- Total elements in blk.39: (~556M) 555755520
- Percentage of total elements: 2.36%