Dolphin-Mistral-24B-Venice-Edition-Q4_K_S.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 | 14 |
| 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-Q4_K_S.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 | 0x16800000 |
| 1 | output_norm.weight | 0x16f84920 | 0x5000 |
| 2 | token_embd.weight | 0x16f89920 | 0x11300000 |
| 3 | blk.0.attn_k.weight | 0x28289920 | 0x226000 |
| 4 | blk.0.attn_norm.weight | 0x284af920 | 0x5000 |
| 5 | blk.0.attn_output.weight | 0x284b4920 | 0xb40000 |
| 6 | blk.0.attn_q.weight | 0x28ff4920 | 0x898000 |
| 7 | blk.0.attn_v.weight | 0x2988c920 | 0x2d0000 |
| 8 | blk.0.ffn_down.weight | 0x29b5c920 | 0x6e00000 |
| 9 | blk.0.ffn_gate.weight | 0x3095c920 | 0x44c0000 |
| 10 | blk.0.ffn_norm.weight | 0x34e1c920 | 0x5000 |
| 11 | blk.0.ffn_up.weight | 0x34e21920 | 0x44c0000 |
| 12 | blk.1.attn_k.weight | 0x392e1920 | 0x226000 |
| 13 | blk.1.attn_norm.weight | 0x39507920 | 0x5000 |
| 14 | blk.1.attn_output.weight | 0x3950c920 | 0xb40000 |
| 15 | blk.1.attn_q.weight | 0x3a04c920 | 0x898000 |
| 16 | blk.1.attn_v.weight | 0x3a8e4920 | 0x2d0000 |
| 17 | blk.1.ffn_down.weight | 0x3abb4920 | 0x6e00000 |
| 18 | blk.1.ffn_gate.weight | 0x419b4920 | 0x44c0000 |
| 19 | blk.1.ffn_norm.weight | 0x45e74920 | 0x5000 |
| 20 | blk.1.ffn_up.weight | 0x45e79920 | 0x44c0000 |
| 21 | blk.2.attn_k.weight | 0x4a339920 | 0x226000 |
| 22 | blk.2.attn_norm.weight | 0x4a55f920 | 0x5000 |
| 23 | blk.2.attn_output.weight | 0x4a564920 | 0xb40000 |
| 24 | blk.2.attn_q.weight | 0x4b0a4920 | 0x898000 |
| 25 | blk.2.attn_v.weight | 0x4b93c920 | 0x2d0000 |
| 26 | blk.2.ffn_down.weight | 0x4bc0c920 | 0x6e00000 |
| 27 | blk.2.ffn_gate.weight | 0x52a0c920 | 0x44c0000 |
| 28 | blk.2.ffn_norm.weight | 0x56ecc920 | 0x5000 |
| 29 | blk.2.ffn_up.weight | 0x56ed1920 | 0x44c0000 |
| 30 | blk.3.attn_k.weight | 0x5b391920 | 0x226000 |
| 31 | blk.3.attn_norm.weight | 0x5b5b7920 | 0x5000 |
| 32 | blk.3.attn_output.weight | 0x5b5bc920 | 0xb40000 |
| 33 | blk.3.attn_q.weight | 0x5c0fc920 | 0x898000 |
| 34 | blk.3.attn_v.weight | 0x5c994920 | 0x2d0000 |
| 35 | blk.3.ffn_down.weight | 0x5cc64920 | 0x6e00000 |
| 36 | blk.3.ffn_gate.weight | 0x63a64920 | 0x44c0000 |
| 37 | blk.3.ffn_norm.weight | 0x67f24920 | 0x5000 |
| 38 | blk.3.ffn_up.weight | 0x67f29920 | 0x44c0000 |
| 39 | blk.4.attn_k.weight | 0x6c3e9920 | 0x226000 |
| 40 | blk.4.attn_norm.weight | 0x6c60f920 | 0x5000 |
| 41 | blk.4.attn_output.weight | 0x6c614920 | 0xb40000 |
| 42 | blk.4.attn_q.weight | 0x6d154920 | 0x898000 |
| 43 | blk.4.attn_v.weight | 0x6d9ec920 | 0x2d0000 |
| 44 | blk.4.ffn_down.weight | 0x6dcbc920 | 0x6e00000 |
| 45 | blk.4.ffn_gate.weight | 0x74abc920 | 0x44c0000 |
| 46 | blk.4.ffn_norm.weight | 0x78f7c920 | 0x5000 |
| 47 | blk.4.ffn_up.weight | 0x78f81920 | 0x44c0000 |
| 48 | blk.5.attn_k.weight | 0x7d441920 | 0x226000 |
| 49 | blk.5.attn_norm.weight | 0x7d667920 | 0x5000 |
| 50 | blk.5.attn_output.weight | 0x7d66c920 | 0xb40000 |
| 51 | blk.5.attn_q.weight | 0x7e1ac920 | 0x898000 |
| 52 | blk.5.attn_v.weight | 0x7ea44920 | 0x2d0000 |
| 53 | blk.5.ffn_down.weight | 0x7ed14920 | 0x5a00000 |
| 54 | blk.5.ffn_gate.weight | 0x84714920 | 0x44c0000 |
| 55 | blk.5.ffn_norm.weight | 0x88bd4920 | 0x5000 |
| 56 | blk.5.ffn_up.weight | 0x88bd9920 | 0x44c0000 |
| 57 | blk.6.attn_k.weight | 0x8d099920 | 0x226000 |
| 58 | blk.6.attn_norm.weight | 0x8d2bf920 | 0x5000 |
| 59 | blk.6.attn_output.weight | 0x8d2c4920 | 0xb40000 |
| 60 | blk.6.attn_q.weight | 0x8de04920 | 0x898000 |
| 61 | blk.6.attn_v.weight | 0x8e69c920 | 0x2d0000 |
| 62 | blk.6.ffn_down.weight | 0x8e96c920 | 0x5a00000 |
| 63 | blk.6.ffn_gate.weight | 0x9436c920 | 0x44c0000 |
| 64 | blk.6.ffn_norm.weight | 0x9882c920 | 0x5000 |
| 65 | blk.6.ffn_up.weight | 0x98831920 | 0x44c0000 |
| 66 | blk.7.attn_k.weight | 0x9ccf1920 | 0x226000 |
| 67 | blk.7.attn_norm.weight | 0x9cf17920 | 0x5000 |
| 68 | blk.7.attn_output.weight | 0x9cf1c920 | 0xb40000 |
| 69 | blk.7.attn_q.weight | 0x9da5c920 | 0x898000 |
| 70 | blk.7.attn_v.weight | 0x9e2f4920 | 0x2d0000 |
| 71 | blk.7.ffn_down.weight | 0x9e5c4920 | 0x5a00000 |
| 72 | blk.7.ffn_gate.weight | 0xa3fc4920 | 0x44c0000 |
| 73 | blk.7.ffn_norm.weight | 0xa8484920 | 0x5000 |
| 74 | blk.7.ffn_up.weight | 0xa8489920 | 0x44c0000 |
| 75 | blk.8.attn_k.weight | 0xac949920 | 0x226000 |
| 76 | blk.8.attn_norm.weight | 0xacb6f920 | 0x5000 |
| 77 | blk.8.attn_output.weight | 0xacb74920 | 0xb40000 |
| 78 | blk.8.attn_q.weight | 0xad6b4920 | 0x898000 |
| 79 | blk.8.attn_v.weight | 0xadf4c920 | 0x2d0000 |
| 80 | blk.8.ffn_down.weight | 0xae21c920 | 0x5a00000 |
| 81 | blk.8.ffn_gate.weight | 0xb3c1c920 | 0x44c0000 |
| 82 | blk.8.ffn_norm.weight | 0xb80dc920 | 0x5000 |
| 83 | blk.8.ffn_up.weight | 0xb80e1920 | 0x44c0000 |
| 84 | blk.9.attn_k.weight | 0xbc5a1920 | 0x226000 |
| 85 | blk.9.attn_norm.weight | 0xbc7c7920 | 0x5000 |
| 86 | blk.9.attn_output.weight | 0xbc7cc920 | 0xb40000 |
| 87 | blk.9.attn_q.weight | 0xbd30c920 | 0x898000 |
| 88 | blk.9.attn_v.weight | 0xbdba4920 | 0x2d0000 |
| 89 | blk.9.ffn_down.weight | 0xbde74920 | 0x5a00000 |
| 90 | blk.9.ffn_gate.weight | 0xc3874920 | 0x44c0000 |
| 91 | blk.9.ffn_norm.weight | 0xc7d34920 | 0x5000 |
| 92 | blk.9.ffn_up.weight | 0xc7d39920 | 0x44c0000 |
| 93 | blk.10.attn_k.weight | 0xcc1f9920 | 0x226000 |
| 94 | blk.10.attn_norm.weight | 0xcc41f920 | 0x5000 |
| 95 | blk.10.attn_output.weight | 0xcc424920 | 0xb40000 |
| 96 | blk.10.attn_q.weight | 0xccf64920 | 0x898000 |
| 97 | blk.10.attn_v.weight | 0xcd7fc920 | 0x2d0000 |
| 98 | blk.10.ffn_down.weight | 0xcdacc920 | 0x5a00000 |
| 99 | blk.10.ffn_gate.weight | 0xd34cc920 | 0x44c0000 |
| 100 | blk.10.ffn_norm.weight | 0xd798c920 | 0x5000 |
| 101 | blk.10.ffn_up.weight | 0xd7991920 | 0x44c0000 |
| 102 | blk.11.attn_k.weight | 0xdbe51920 | 0x226000 |
| 103 | blk.11.attn_norm.weight | 0xdc077920 | 0x5000 |
| 104 | blk.11.attn_output.weight | 0xdc07c920 | 0xb40000 |
| 105 | blk.11.attn_q.weight | 0xdcbbc920 | 0x898000 |
| 106 | blk.11.attn_v.weight | 0xdd454920 | 0x2d0000 |
| 107 | blk.11.ffn_down.weight | 0xdd724920 | 0x5a00000 |
| 108 | blk.11.ffn_gate.weight | 0xe3124920 | 0x44c0000 |
| 109 | blk.11.ffn_norm.weight | 0xe75e4920 | 0x5000 |
| 110 | blk.11.ffn_up.weight | 0xe75e9920 | 0x44c0000 |
| 111 | blk.12.attn_k.weight | 0xebaa9920 | 0x226000 |
| 112 | blk.12.attn_norm.weight | 0xebccf920 | 0x5000 |
| 113 | blk.12.attn_output.weight | 0xebcd4920 | 0xb40000 |
| 114 | blk.12.attn_q.weight | 0xec814920 | 0x898000 |
| 115 | blk.12.attn_v.weight | 0xed0ac920 | 0x2d0000 |
| 116 | blk.12.ffn_down.weight | 0xed37c920 | 0x5a00000 |
| 117 | blk.12.ffn_gate.weight | 0xf2d7c920 | 0x44c0000 |
| 118 | blk.12.ffn_norm.weight | 0xf723c920 | 0x5000 |
| 119 | blk.12.ffn_up.weight | 0xf7241920 | 0x44c0000 |
| 120 | blk.13.attn_k.weight | 0xfb701920 | 0x226000 |
| 121 | blk.13.attn_norm.weight | 0xfb927920 | 0x5000 |
| 122 | blk.13.attn_output.weight | 0xfb92c920 | 0xb40000 |
| 123 | blk.13.attn_q.weight | 0xfc46c920 | 0x898000 |
| 124 | blk.13.attn_v.weight | 0xfcd04920 | 0x2d0000 |
| 125 | blk.13.ffn_down.weight | 0xfcfd4920 | 0x5a00000 |
| 126 | blk.13.ffn_gate.weight | 0x1029d4920 | 0x44c0000 |
| 127 | blk.13.ffn_norm.weight | 0x106e94920 | 0x5000 |
| 128 | blk.13.ffn_up.weight | 0x106e99920 | 0x44c0000 |
| 129 | blk.14.attn_k.weight | 0x10b359920 | 0x226000 |
| 130 | blk.14.attn_norm.weight | 0x10b57f920 | 0x5000 |
| 131 | blk.14.attn_output.weight | 0x10b584920 | 0xb40000 |
| 132 | blk.14.attn_q.weight | 0x10c0c4920 | 0x898000 |
| 133 | blk.14.attn_v.weight | 0x10c95c920 | 0x2d0000 |
| 134 | blk.14.ffn_down.weight | 0x10cc2c920 | 0x5a00000 |
| 135 | blk.14.ffn_gate.weight | 0x11262c920 | 0x44c0000 |
| 136 | blk.14.ffn_norm.weight | 0x116aec920 | 0x5000 |
| 137 | blk.14.ffn_up.weight | 0x116af1920 | 0x44c0000 |
| 138 | blk.15.attn_k.weight | 0x11afb1920 | 0x226000 |
| 139 | blk.15.attn_norm.weight | 0x11b1d7920 | 0x5000 |
| 140 | blk.15.attn_output.weight | 0x11b1dc920 | 0xb40000 |
| 141 | blk.15.attn_q.weight | 0x11bd1c920 | 0x898000 |
| 142 | blk.15.attn_v.weight | 0x11c5b4920 | 0x2d0000 |
| 143 | blk.15.ffn_down.weight | 0x11c884920 | 0x5a00000 |
| 144 | blk.15.ffn_gate.weight | 0x122284920 | 0x44c0000 |
| 145 | blk.15.ffn_norm.weight | 0x126744920 | 0x5000 |
| 146 | blk.15.ffn_up.weight | 0x126749920 | 0x44c0000 |
| 147 | blk.16.attn_k.weight | 0x12ac09920 | 0x226000 |
| 148 | blk.16.attn_norm.weight | 0x12ae2f920 | 0x5000 |
| 149 | blk.16.attn_output.weight | 0x12ae34920 | 0xb40000 |
| 150 | blk.16.attn_q.weight | 0x12b974920 | 0x898000 |
| 151 | blk.16.attn_v.weight | 0x12c20c920 | 0x2d0000 |
| 152 | blk.16.ffn_down.weight | 0x12c4dc920 | 0x5a00000 |
| 153 | blk.16.ffn_gate.weight | 0x131edc920 | 0x44c0000 |
| 154 | blk.16.ffn_norm.weight | 0x13639c920 | 0x5000 |
| 155 | blk.16.ffn_up.weight | 0x1363a1920 | 0x44c0000 |
| 156 | blk.17.attn_k.weight | 0x13a861920 | 0x2d0000 |
| 157 | blk.17.attn_norm.weight | 0x13ab31920 | 0x5000 |
| 158 | blk.17.attn_output.weight | 0x13ab36920 | 0xb40000 |
| 159 | blk.17.attn_q.weight | 0x13b676920 | 0xb40000 |
| 160 | blk.17.attn_v.weight | 0x13c1b6920 | 0x2d0000 |
| 161 | blk.17.ffn_down.weight | 0x13c486920 | 0x5a00000 |
| 162 | blk.17.ffn_gate.weight | 0x141e86920 | 0x44c0000 |
| 163 | blk.17.ffn_norm.weight | 0x146346920 | 0x5000 |
| 164 | blk.17.ffn_up.weight | 0x14634b920 | 0x44c0000 |
| 165 | blk.18.attn_k.weight | 0x14a80b920 | 0x2d0000 |
| 166 | blk.18.attn_norm.weight | 0x14aadb920 | 0x5000 |
| 167 | blk.18.attn_output.weight | 0x14aae0920 | 0xb40000 |
| 168 | blk.18.attn_q.weight | 0x14b620920 | 0xb40000 |
| 169 | blk.18.attn_v.weight | 0x14c160920 | 0x2d0000 |
| 170 | blk.18.ffn_down.weight | 0x14c430920 | 0x5a00000 |
| 171 | blk.18.ffn_gate.weight | 0x151e30920 | 0x44c0000 |
| 172 | blk.18.ffn_norm.weight | 0x1562f0920 | 0x5000 |
| 173 | blk.18.ffn_up.weight | 0x1562f5920 | 0x44c0000 |
| 174 | blk.19.attn_k.weight | 0x15a7b5920 | 0x226000 |
| 175 | blk.19.attn_norm.weight | 0x15a9db920 | 0x5000 |
| 176 | blk.19.attn_output.weight | 0x15a9e0920 | 0xb40000 |
| 177 | blk.19.attn_q.weight | 0x15b520920 | 0x898000 |
| 178 | blk.19.attn_v.weight | 0x15bdb8920 | 0x2d0000 |
| 179 | blk.19.ffn_down.weight | 0x15c088920 | 0x5a00000 |
| 180 | blk.19.ffn_gate.weight | 0x161a88920 | 0x44c0000 |
| 181 | blk.19.ffn_norm.weight | 0x165f48920 | 0x5000 |
| 182 | blk.19.ffn_up.weight | 0x165f4d920 | 0x44c0000 |
| 183 | blk.20.attn_k.weight | 0x16a40d920 | 0x2d0000 |
| 184 | blk.20.attn_norm.weight | 0x16a6dd920 | 0x5000 |
| 185 | blk.20.attn_output.weight | 0x16a6e2920 | 0xb40000 |
| 186 | blk.20.attn_q.weight | 0x16b222920 | 0xb40000 |
| 187 | blk.20.attn_v.weight | 0x16bd62920 | 0x2d0000 |
| 188 | blk.20.ffn_down.weight | 0x16c032920 | 0x5a00000 |
| 189 | blk.20.ffn_gate.weight | 0x171a32920 | 0x5a00000 |
| 190 | blk.20.ffn_norm.weight | 0x177432920 | 0x5000 |
| 191 | blk.20.ffn_up.weight | 0x177437920 | 0x5a00000 |
| 192 | blk.21.attn_k.weight | 0x17ce37920 | 0x226000 |
| 193 | blk.21.attn_norm.weight | 0x17d05d920 | 0x5000 |
| 194 | blk.21.attn_output.weight | 0x17d062920 | 0xb40000 |
| 195 | blk.21.attn_q.weight | 0x17dba2920 | 0x898000 |
| 196 | blk.21.attn_v.weight | 0x17e43a920 | 0x2d0000 |
| 197 | blk.21.ffn_down.weight | 0x17e70a920 | 0x5a00000 |
| 198 | blk.21.ffn_gate.weight | 0x18410a920 | 0x5a00000 |
| 199 | blk.21.ffn_norm.weight | 0x189b0a920 | 0x5000 |
| 200 | blk.21.ffn_up.weight | 0x189b0f920 | 0x5a00000 |
| 201 | blk.22.attn_k.weight | 0x18f50f920 | 0x2d0000 |
| 202 | blk.22.attn_norm.weight | 0x18f7df920 | 0x5000 |
| 203 | blk.22.attn_output.weight | 0x18f7e4920 | 0xb40000 |
| 204 | blk.22.attn_q.weight | 0x190324920 | 0xb40000 |
| 205 | blk.22.attn_v.weight | 0x190e64920 | 0x2d0000 |
| 206 | blk.22.ffn_down.weight | 0x191134920 | 0x5a00000 |
| 207 | blk.22.ffn_gate.weight | 0x196b34920 | 0x5a00000 |
| 208 | blk.22.ffn_norm.weight | 0x19c534920 | 0x5000 |
| 209 | blk.22.ffn_up.weight | 0x19c539920 | 0x5a00000 |
| 210 | blk.23.attn_k.weight | 0x1a1f39920 | 0x2d0000 |
| 211 | blk.23.attn_norm.weight | 0x1a2209920 | 0x5000 |
| 212 | blk.23.attn_output.weight | 0x1a220e920 | 0xb40000 |
| 213 | blk.23.attn_q.weight | 0x1a2d4e920 | 0xb40000 |
| 214 | blk.23.attn_v.weight | 0x1a388e920 | 0x2d0000 |
| 215 | blk.23.ffn_down.weight | 0x1a3b5e920 | 0x5a00000 |
| 216 | blk.23.ffn_gate.weight | 0x1a955e920 | 0x5a00000 |
| 217 | blk.23.ffn_norm.weight | 0x1aef5e920 | 0x5000 |
| 218 | blk.23.ffn_up.weight | 0x1aef63920 | 0x5a00000 |
| 219 | blk.24.attn_k.weight | 0x1b4963920 | 0x2d0000 |
| 220 | blk.24.attn_norm.weight | 0x1b4c33920 | 0x5000 |
| 221 | blk.24.attn_output.weight | 0x1b4c38920 | 0xb40000 |
| 222 | blk.24.attn_q.weight | 0x1b5778920 | 0xb40000 |
| 223 | blk.24.attn_v.weight | 0x1b62b8920 | 0x2d0000 |
| 224 | blk.24.ffn_down.weight | 0x1b6588920 | 0x5a00000 |
| 225 | blk.24.ffn_gate.weight | 0x1bbf88920 | 0x5a00000 |
| 226 | blk.24.ffn_norm.weight | 0x1c1988920 | 0x5000 |
| 227 | blk.24.ffn_up.weight | 0x1c198d920 | 0x5a00000 |
| 228 | blk.25.attn_k.weight | 0x1c738d920 | 0x2d0000 |
| 229 | blk.25.attn_norm.weight | 0x1c765d920 | 0x5000 |
| 230 | blk.25.attn_output.weight | 0x1c7662920 | 0xb40000 |
| 231 | blk.25.attn_q.weight | 0x1c81a2920 | 0xb40000 |
| 232 | blk.25.attn_v.weight | 0x1c8ce2920 | 0x2d0000 |
| 233 | blk.25.ffn_down.weight | 0x1c8fb2920 | 0x5a00000 |
| 234 | blk.25.ffn_gate.weight | 0x1ce9b2920 | 0x5a00000 |
| 235 | blk.25.ffn_norm.weight | 0x1d43b2920 | 0x5000 |
| 236 | blk.25.ffn_up.weight | 0x1d43b7920 | 0x5a00000 |
| 237 | blk.26.attn_k.weight | 0x1d9db7920 | 0x2d0000 |
| 238 | blk.26.attn_norm.weight | 0x1da087920 | 0x5000 |
| 239 | blk.26.attn_output.weight | 0x1da08c920 | 0xb40000 |
| 240 | blk.26.attn_q.weight | 0x1dabcc920 | 0xb40000 |
| 241 | blk.26.attn_v.weight | 0x1db70c920 | 0x2d0000 |
| 242 | blk.26.ffn_down.weight | 0x1db9dc920 | 0x5a00000 |
| 243 | blk.26.ffn_gate.weight | 0x1e13dc920 | 0x5a00000 |
| 244 | blk.26.ffn_norm.weight | 0x1e6ddc920 | 0x5000 |
| 245 | blk.26.ffn_up.weight | 0x1e6de1920 | 0x5a00000 |
| 246 | blk.27.attn_k.weight | 0x1ec7e1920 | 0x226000 |
| 247 | blk.27.attn_norm.weight | 0x1eca07920 | 0x5000 |
| 248 | blk.27.attn_output.weight | 0x1eca0c920 | 0xb40000 |
| 249 | blk.27.attn_q.weight | 0x1ed54c920 | 0x898000 |
| 250 | blk.27.attn_v.weight | 0x1edde4920 | 0x2d0000 |
| 251 | blk.27.ffn_down.weight | 0x1ee0b4920 | 0x5a00000 |
| 252 | blk.27.ffn_gate.weight | 0x1f3ab4920 | 0x5a00000 |
| 253 | blk.27.ffn_norm.weight | 0x1f94b4920 | 0x5000 |
| 254 | blk.27.ffn_up.weight | 0x1f94b9920 | 0x5a00000 |
| 255 | blk.28.attn_k.weight | 0x1feeb9920 | 0x2d0000 |
| 256 | blk.28.attn_norm.weight | 0x1ff189920 | 0x5000 |
| 257 | blk.28.attn_output.weight | 0x1ff18e920 | 0xb40000 |
| 258 | blk.28.attn_q.weight | 0x1ffcce920 | 0xb40000 |
| 259 | blk.28.attn_v.weight | 0x20080e920 | 0x2d0000 |
| 260 | blk.28.ffn_down.weight | 0x200ade920 | 0x5a00000 |
| 261 | blk.28.ffn_gate.weight | 0x2064de920 | 0x5a00000 |
| 262 | blk.28.ffn_norm.weight | 0x20bede920 | 0x5000 |
| 263 | blk.28.ffn_up.weight | 0x20bee3920 | 0x5a00000 |
| 264 | blk.29.attn_k.weight | 0x2118e3920 | 0x2d0000 |
| 265 | blk.29.attn_norm.weight | 0x211bb3920 | 0x5000 |
| 266 | blk.29.attn_output.weight | 0x211bb8920 | 0xb40000 |
| 267 | blk.29.attn_q.weight | 0x2126f8920 | 0xb40000 |
| 268 | blk.29.attn_v.weight | 0x213238920 | 0x2d0000 |
| 269 | blk.29.ffn_down.weight | 0x213508920 | 0x5a00000 |
| 270 | blk.29.ffn_gate.weight | 0x218f08920 | 0x5a00000 |
| 271 | blk.29.ffn_norm.weight | 0x21e908920 | 0x5000 |
| 272 | blk.29.ffn_up.weight | 0x21e90d920 | 0x5a00000 |
| 273 | blk.30.attn_k.weight | 0x22430d920 | 0x2d0000 |
| 274 | blk.30.attn_norm.weight | 0x2245dd920 | 0x5000 |
| 275 | blk.30.attn_output.weight | 0x2245e2920 | 0xb40000 |
| 276 | blk.30.attn_q.weight | 0x225122920 | 0xb40000 |
| 277 | blk.30.attn_v.weight | 0x225c62920 | 0x2d0000 |
| 278 | blk.30.ffn_down.weight | 0x225f32920 | 0x5a00000 |
| 279 | blk.30.ffn_gate.weight | 0x22b932920 | 0x5a00000 |
| 280 | blk.30.ffn_norm.weight | 0x231332920 | 0x5000 |
| 281 | blk.30.ffn_up.weight | 0x231337920 | 0x5a00000 |
| 282 | blk.31.attn_k.weight | 0x236d37920 | 0x2d0000 |
| 283 | blk.31.attn_norm.weight | 0x237007920 | 0x5000 |
| 284 | blk.31.attn_output.weight | 0x23700c920 | 0xb40000 |
| 285 | blk.31.attn_q.weight | 0x237b4c920 | 0xb40000 |
| 286 | blk.31.attn_v.weight | 0x23868c920 | 0x2d0000 |
| 287 | blk.31.ffn_down.weight | 0x23895c920 | 0x5a00000 |
| 288 | blk.31.ffn_gate.weight | 0x23e35c920 | 0x5a00000 |
| 289 | blk.31.ffn_norm.weight | 0x243d5c920 | 0x5000 |
| 290 | blk.31.ffn_up.weight | 0x243d61920 | 0x5a00000 |
| 291 | blk.32.attn_k.weight | 0x249761920 | 0x2d0000 |
| 292 | blk.32.attn_norm.weight | 0x249a31920 | 0x5000 |
| 293 | blk.32.attn_output.weight | 0x249a36920 | 0xb40000 |
| 294 | blk.32.attn_q.weight | 0x24a576920 | 0xb40000 |
| 295 | blk.32.attn_v.weight | 0x24b0b6920 | 0x2d0000 |
| 296 | blk.32.ffn_down.weight | 0x24b386920 | 0x5a00000 |
| 297 | blk.32.ffn_gate.weight | 0x250d86920 | 0x5a00000 |
| 298 | blk.32.ffn_norm.weight | 0x256786920 | 0x5000 |
| 299 | blk.32.ffn_up.weight | 0x25678b920 | 0x5a00000 |
| 300 | blk.33.attn_k.weight | 0x25c18b920 | 0x2d0000 |
| 301 | blk.33.attn_norm.weight | 0x25c45b920 | 0x5000 |
| 302 | blk.33.attn_output.weight | 0x25c460920 | 0xb40000 |
| 303 | blk.33.attn_q.weight | 0x25cfa0920 | 0xb40000 |
| 304 | blk.33.attn_v.weight | 0x25dae0920 | 0x2d0000 |
| 305 | blk.33.ffn_down.weight | 0x25ddb0920 | 0x5a00000 |
| 306 | blk.33.ffn_gate.weight | 0x2637b0920 | 0x5a00000 |
| 307 | blk.33.ffn_norm.weight | 0x2691b0920 | 0x5000 |
| 308 | blk.33.ffn_up.weight | 0x2691b5920 | 0x5a00000 |
| 309 | blk.34.attn_k.weight | 0x26ebb5920 | 0x2d0000 |
| 310 | blk.34.attn_norm.weight | 0x26ee85920 | 0x5000 |
| 311 | blk.34.attn_output.weight | 0x26ee8a920 | 0xb40000 |
| 312 | blk.34.attn_q.weight | 0x26f9ca920 | 0xb40000 |
| 313 | blk.34.attn_v.weight | 0x27050a920 | 0x2d0000 |
| 314 | blk.34.ffn_down.weight | 0x2707da920 | 0x5a00000 |
| 315 | blk.34.ffn_gate.weight | 0x2761da920 | 0x5a00000 |
| 316 | blk.34.ffn_norm.weight | 0x27bbda920 | 0x5000 |
| 317 | blk.34.ffn_up.weight | 0x27bbdf920 | 0x5a00000 |
| 318 | blk.35.attn_k.weight | 0x2815df920 | 0x2d0000 |
| 319 | blk.35.attn_norm.weight | 0x2818af920 | 0x5000 |
| 320 | blk.35.attn_output.weight | 0x2818b4920 | 0xb40000 |
| 321 | blk.35.attn_q.weight | 0x2823f4920 | 0xb40000 |
| 322 | blk.35.attn_v.weight | 0x282f34920 | 0x2d0000 |
| 323 | blk.35.ffn_down.weight | 0x283204920 | 0x5a00000 |
| 324 | blk.35.ffn_gate.weight | 0x288c04920 | 0x5a00000 |
| 325 | blk.35.ffn_norm.weight | 0x28e604920 | 0x5000 |
| 326 | blk.35.ffn_up.weight | 0x28e609920 | 0x5a00000 |
| 327 | blk.36.attn_k.weight | 0x294009920 | 0x2d0000 |
| 328 | blk.36.attn_norm.weight | 0x2942d9920 | 0x5000 |
| 329 | blk.36.attn_output.weight | 0x2942de920 | 0xb40000 |
| 330 | blk.36.attn_q.weight | 0x294e1e920 | 0xb40000 |
| 331 | blk.36.attn_v.weight | 0x29595e920 | 0x2d0000 |
| 332 | blk.36.ffn_down.weight | 0x295c2e920 | 0x5a00000 |
| 333 | blk.36.ffn_gate.weight | 0x29b62e920 | 0x5a00000 |
| 334 | blk.36.ffn_norm.weight | 0x2a102e920 | 0x5000 |
| 335 | blk.36.ffn_up.weight | 0x2a1033920 | 0x5a00000 |
| 336 | blk.37.attn_k.weight | 0x2a6a33920 | 0x2d0000 |
| 337 | blk.37.attn_norm.weight | 0x2a6d03920 | 0x5000 |
| 338 | blk.37.attn_output.weight | 0x2a6d08920 | 0xb40000 |
| 339 | blk.37.attn_q.weight | 0x2a7848920 | 0xb40000 |
| 340 | blk.37.attn_v.weight | 0x2a8388920 | 0x2d0000 |
| 341 | blk.37.ffn_down.weight | 0x2a8658920 | 0x5a00000 |
| 342 | blk.37.ffn_gate.weight | 0x2ae058920 | 0x5a00000 |
| 343 | blk.37.ffn_norm.weight | 0x2b3a58920 | 0x5000 |
| 344 | blk.37.ffn_up.weight | 0x2b3a5d920 | 0x5a00000 |
| 345 | blk.38.attn_k.weight | 0x2b945d920 | 0x2d0000 |
| 346 | blk.38.attn_norm.weight | 0x2b972d920 | 0x5000 |
| 347 | blk.38.attn_output.weight | 0x2b9732920 | 0xb40000 |
| 348 | blk.38.attn_q.weight | 0x2ba272920 | 0xb40000 |
| 349 | blk.38.attn_v.weight | 0x2badb2920 | 0x2d0000 |
| 350 | blk.38.ffn_down.weight | 0x2bb082920 | 0x5a00000 |
| 351 | blk.38.ffn_gate.weight | 0x2c0a82920 | 0x5a00000 |
| 352 | blk.38.ffn_norm.weight | 0x2c6482920 | 0x5000 |
| 353 | blk.38.ffn_up.weight | 0x2c6487920 | 0x5a00000 |
| 354 | blk.39.attn_k.weight | 0x2cbe87920 | 0x2d0000 |
| 355 | blk.39.attn_norm.weight | 0x2cc157920 | 0x5000 |
| 356 | blk.39.attn_output.weight | 0x2cc15c920 | 0xb40000 |
| 357 | blk.39.attn_q.weight | 0x2ccc9c920 | 0xb40000 |
| 358 | blk.39.attn_v.weight | 0x2cd7dc920 | 0x2d0000 |
| 359 | blk.39.ffn_down.weight | 0x2cdaac920 | 0x5a00000 |
| 360 | blk.39.ffn_gate.weight | 0x2d34ac920 | 0x5a00000 |
| 361 | blk.39.ffn_norm.weight | 0x2d8eac920 | 0x5000 |
| 362 | blk.39.ffn_up.weight | 0x2d8eb1920 | 0x5a00000 |
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 | Q4_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 | Q3_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 | Q4_K |
| 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 7 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 8 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 9 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 15 | blk.1.attn_q.weight | Block 1 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 16 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 17 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 18 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 24 | blk.2.attn_q.weight | Block 2 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 25 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 26 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 27 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 33 | blk.3.attn_q.weight | Block 3 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 34 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 35 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 36 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 42 | blk.4.attn_q.weight | Block 4 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 43 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 44 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q5_K |
| 45 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 51 | blk.5.attn_q.weight | Block 5 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 52 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 53 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 54 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 60 | blk.6.attn_q.weight | Block 6 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 61 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 62 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 63 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 69 | blk.7.attn_q.weight | Block 7 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 70 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 71 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 72 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 78 | blk.8.attn_q.weight | Block 8 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 79 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 80 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 81 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 87 | blk.9.attn_q.weight | Block 9 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 88 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 89 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 90 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 96 | blk.10.attn_q.weight | Block 10 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 97 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 98 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 99 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 105 | blk.11.attn_q.weight | Block 11 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 106 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 107 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 108 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 114 | blk.12.attn_q.weight | Block 12 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 115 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 116 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 117 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 123 | blk.13.attn_q.weight | Block 13 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 124 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 125 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 126 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 132 | blk.14.attn_q.weight | Block 14 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 133 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 134 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 135 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 141 | blk.15.attn_q.weight | Block 15 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 142 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 143 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 144 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 150 | blk.16.attn_q.weight | Block 16 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 151 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 152 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 153 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q4_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 | Q4_K |
| 161 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 162 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q4_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 | Q4_K |
| 170 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 171 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q3_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 | Q4_K |
| 177 | blk.19.attn_q.weight | Block 19 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 178 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 179 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 180 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q3_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 | Q3_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 | Q4_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 | Q4_K |
| 188 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q3_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 | Q4_K |
| 195 | blk.21.attn_q.weight | Block 21 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 196 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 197 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q4_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 | Q4_K |
| 206 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q4_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 | Q4_K |
| 215 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q4_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 | Q4_K |
| 224 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q4_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 | Q4_K |
| 231 | blk.25.attn_q.weight | Block 25 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 232 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 233 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q4_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 | Q4_K |
| 242 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q3_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 | Q4_K |
| 249 | blk.27.attn_q.weight | Block 27 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q3_K |
| 250 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 251 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q4_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 | Q4_K |
| 258 | blk.28.attn_q.weight | Block 28 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 259 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 260 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q4_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 | Q4_K |
| 269 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_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 | Q4_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 | Q4_K |
| 276 | blk.30.attn_q.weight | Block 30 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 277 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 278 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 279 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_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 | Q4_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 | Q4_K |
| 287 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 288 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_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 | Q4_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 | Q4_K |
| 294 | blk.32.attn_q.weight | Block 32 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 295 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 296 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 297 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_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 | Q4_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 | Q4_K |
| 303 | blk.33.attn_q.weight | Block 33 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 304 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 305 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 306 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_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 | Q4_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 | Q4_K |
| 312 | blk.34.attn_q.weight | Block 34 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 313 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 314 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 315 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_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 | Q4_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 | Q4_K |
| 321 | blk.35.attn_q.weight | Block 35 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 322 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 323 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 324 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_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 | Q4_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 | Q4_K |
| 330 | blk.36.attn_q.weight | Block 36 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 331 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 332 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 333 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_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 | Q4_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 | Q4_K |
| 339 | blk.37.attn_q.weight | Block 37 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 340 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 341 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 342 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_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 | Q4_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 | Q4_K |
| 348 | blk.38.attn_q.weight | Block 38 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K |
| 349 | blk.38.attn_v.weight | Block 38 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K |
| 350 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 351 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_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 | Q4_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 | Q4_K |
| 359 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K |
| 360 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_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 | Q4_K |
- Total elements in blk.39: (~556M) 555755520
- Percentage of total elements: 2.36%