Dolphin-Mistral-24B-Venice-Edition-IQ4_NL.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 | 25 |
| 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-IQ4_NL.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 | 0x2a8000 |
| 8 | blk.0.ffn_down.weight | 0x29b34920 | 0x5a00000 |
| 9 | blk.0.ffn_gate.weight | 0x2f534920 | 0x44c0000 |
| 10 | blk.0.ffn_norm.weight | 0x339f4920 | 0x5000 |
| 11 | blk.0.ffn_up.weight | 0x339f9920 | 0x44c0000 |
| 12 | blk.1.attn_k.weight | 0x37eb9920 | 0x226000 |
| 13 | blk.1.attn_norm.weight | 0x380df920 | 0x5000 |
| 14 | blk.1.attn_output.weight | 0x380e4920 | 0xb40000 |
| 15 | blk.1.attn_q.weight | 0x38c24920 | 0x898000 |
| 16 | blk.1.attn_v.weight | 0x394bc920 | 0x2a8000 |
| 17 | blk.1.ffn_down.weight | 0x39764920 | 0x5a00000 |
| 18 | blk.1.ffn_gate.weight | 0x3f164920 | 0x44c0000 |
| 19 | blk.1.ffn_norm.weight | 0x43624920 | 0x5000 |
| 20 | blk.1.ffn_up.weight | 0x43629920 | 0x44c0000 |
| 21 | blk.2.attn_k.weight | 0x47ae9920 | 0x226000 |
| 22 | blk.2.attn_norm.weight | 0x47d0f920 | 0x5000 |
| 23 | blk.2.attn_output.weight | 0x47d14920 | 0xb40000 |
| 24 | blk.2.attn_q.weight | 0x48854920 | 0x898000 |
| 25 | blk.2.attn_v.weight | 0x490ec920 | 0x2a8000 |
| 26 | blk.2.ffn_down.weight | 0x49394920 | 0x5a00000 |
| 27 | blk.2.ffn_gate.weight | 0x4ed94920 | 0x44c0000 |
| 28 | blk.2.ffn_norm.weight | 0x53254920 | 0x5000 |
| 29 | blk.2.ffn_up.weight | 0x53259920 | 0x44c0000 |
| 30 | blk.3.attn_k.weight | 0x57719920 | 0x226000 |
| 31 | blk.3.attn_norm.weight | 0x5793f920 | 0x5000 |
| 32 | blk.3.attn_output.weight | 0x57944920 | 0xb40000 |
| 33 | blk.3.attn_q.weight | 0x58484920 | 0x898000 |
| 34 | blk.3.attn_v.weight | 0x58d1c920 | 0x2a8000 |
| 35 | blk.3.ffn_down.weight | 0x58fc4920 | 0x5a00000 |
| 36 | blk.3.ffn_gate.weight | 0x5e9c4920 | 0x44c0000 |
| 37 | blk.3.ffn_norm.weight | 0x62e84920 | 0x5000 |
| 38 | blk.3.ffn_up.weight | 0x62e89920 | 0x44c0000 |
| 39 | blk.4.attn_k.weight | 0x67349920 | 0x226000 |
| 40 | blk.4.attn_norm.weight | 0x6756f920 | 0x5000 |
| 41 | blk.4.attn_output.weight | 0x67574920 | 0xb40000 |
| 42 | blk.4.attn_q.weight | 0x680b4920 | 0x898000 |
| 43 | blk.4.attn_v.weight | 0x6894c920 | 0x2a8000 |
| 44 | blk.4.ffn_down.weight | 0x68bf4920 | 0x5a00000 |
| 45 | blk.4.ffn_gate.weight | 0x6e5f4920 | 0x44c0000 |
| 46 | blk.4.ffn_norm.weight | 0x72ab4920 | 0x5000 |
| 47 | blk.4.ffn_up.weight | 0x72ab9920 | 0x44c0000 |
| 48 | blk.5.attn_k.weight | 0x76f79920 | 0x226000 |
| 49 | blk.5.attn_norm.weight | 0x7719f920 | 0x5000 |
| 50 | blk.5.attn_output.weight | 0x771a4920 | 0xb40000 |
| 51 | blk.5.attn_q.weight | 0x77ce4920 | 0x898000 |
| 52 | blk.5.attn_v.weight | 0x7857c920 | 0x2a8000 |
| 53 | blk.5.ffn_down.weight | 0x78824920 | 0x5a00000 |
| 54 | blk.5.ffn_gate.weight | 0x7e224920 | 0x44c0000 |
| 55 | blk.5.ffn_norm.weight | 0x826e4920 | 0x5000 |
| 56 | blk.5.ffn_up.weight | 0x826e9920 | 0x44c0000 |
| 57 | blk.6.attn_k.weight | 0x86ba9920 | 0x226000 |
| 58 | blk.6.attn_norm.weight | 0x86dcf920 | 0x5000 |
| 59 | blk.6.attn_output.weight | 0x86dd4920 | 0xb40000 |
| 60 | blk.6.attn_q.weight | 0x87914920 | 0x898000 |
| 61 | blk.6.attn_v.weight | 0x881ac920 | 0x2a8000 |
| 62 | blk.6.ffn_down.weight | 0x88454920 | 0x5a00000 |
| 63 | blk.6.ffn_gate.weight | 0x8de54920 | 0x44c0000 |
| 64 | blk.6.ffn_norm.weight | 0x92314920 | 0x5000 |
| 65 | blk.6.ffn_up.weight | 0x92319920 | 0x44c0000 |
| 66 | blk.7.attn_k.weight | 0x967d9920 | 0x226000 |
| 67 | blk.7.attn_norm.weight | 0x969ff920 | 0x5000 |
| 68 | blk.7.attn_output.weight | 0x96a04920 | 0xb40000 |
| 69 | blk.7.attn_q.weight | 0x97544920 | 0x898000 |
| 70 | blk.7.attn_v.weight | 0x97ddc920 | 0x2a8000 |
| 71 | blk.7.ffn_down.weight | 0x98084920 | 0x5a00000 |
| 72 | blk.7.ffn_gate.weight | 0x9da84920 | 0x44c0000 |
| 73 | blk.7.ffn_norm.weight | 0xa1f44920 | 0x5000 |
| 74 | blk.7.ffn_up.weight | 0xa1f49920 | 0x44c0000 |
| 75 | blk.8.attn_k.weight | 0xa6409920 | 0x226000 |
| 76 | blk.8.attn_norm.weight | 0xa662f920 | 0x5000 |
| 77 | blk.8.attn_output.weight | 0xa6634920 | 0xb40000 |
| 78 | blk.8.attn_q.weight | 0xa7174920 | 0x898000 |
| 79 | blk.8.attn_v.weight | 0xa7a0c920 | 0x2a8000 |
| 80 | blk.8.ffn_down.weight | 0xa7cb4920 | 0x5a00000 |
| 81 | blk.8.ffn_gate.weight | 0xad6b4920 | 0x44c0000 |
| 82 | blk.8.ffn_norm.weight | 0xb1b74920 | 0x5000 |
| 83 | blk.8.ffn_up.weight | 0xb1b79920 | 0x44c0000 |
| 84 | blk.9.attn_k.weight | 0xb6039920 | 0x226000 |
| 85 | blk.9.attn_norm.weight | 0xb625f920 | 0x5000 |
| 86 | blk.9.attn_output.weight | 0xb6264920 | 0xb40000 |
| 87 | blk.9.attn_q.weight | 0xb6da4920 | 0x898000 |
| 88 | blk.9.attn_v.weight | 0xb763c920 | 0x2a8000 |
| 89 | blk.9.ffn_down.weight | 0xb78e4920 | 0x5a00000 |
| 90 | blk.9.ffn_gate.weight | 0xbd2e4920 | 0x44c0000 |
| 91 | blk.9.ffn_norm.weight | 0xc17a4920 | 0x5000 |
| 92 | blk.9.ffn_up.weight | 0xc17a9920 | 0x44c0000 |
| 93 | blk.10.attn_k.weight | 0xc5c69920 | 0x226000 |
| 94 | blk.10.attn_norm.weight | 0xc5e8f920 | 0x5000 |
| 95 | blk.10.attn_output.weight | 0xc5e94920 | 0xb40000 |
| 96 | blk.10.attn_q.weight | 0xc69d4920 | 0x898000 |
| 97 | blk.10.attn_v.weight | 0xc726c920 | 0x2a8000 |
| 98 | blk.10.ffn_down.weight | 0xc7514920 | 0x5a00000 |
| 99 | blk.10.ffn_gate.weight | 0xccf14920 | 0x44c0000 |
| 100 | blk.10.ffn_norm.weight | 0xd13d4920 | 0x5000 |
| 101 | blk.10.ffn_up.weight | 0xd13d9920 | 0x44c0000 |
| 102 | blk.11.attn_k.weight | 0xd5899920 | 0x226000 |
| 103 | blk.11.attn_norm.weight | 0xd5abf920 | 0x5000 |
| 104 | blk.11.attn_output.weight | 0xd5ac4920 | 0xb40000 |
| 105 | blk.11.attn_q.weight | 0xd6604920 | 0x898000 |
| 106 | blk.11.attn_v.weight | 0xd6e9c920 | 0x2a8000 |
| 107 | blk.11.ffn_down.weight | 0xd7144920 | 0x5a00000 |
| 108 | blk.11.ffn_gate.weight | 0xdcb44920 | 0x44c0000 |
| 109 | blk.11.ffn_norm.weight | 0xe1004920 | 0x5000 |
| 110 | blk.11.ffn_up.weight | 0xe1009920 | 0x44c0000 |
| 111 | blk.12.attn_k.weight | 0xe54c9920 | 0x226000 |
| 112 | blk.12.attn_norm.weight | 0xe56ef920 | 0x5000 |
| 113 | blk.12.attn_output.weight | 0xe56f4920 | 0xb40000 |
| 114 | blk.12.attn_q.weight | 0xe6234920 | 0x898000 |
| 115 | blk.12.attn_v.weight | 0xe6acc920 | 0x2a8000 |
| 116 | blk.12.ffn_down.weight | 0xe6d74920 | 0x5a00000 |
| 117 | blk.12.ffn_gate.weight | 0xec774920 | 0x44c0000 |
| 118 | blk.12.ffn_norm.weight | 0xf0c34920 | 0x5000 |
| 119 | blk.12.ffn_up.weight | 0xf0c39920 | 0x44c0000 |
| 120 | blk.13.attn_k.weight | 0xf50f9920 | 0x226000 |
| 121 | blk.13.attn_norm.weight | 0xf531f920 | 0x5000 |
| 122 | blk.13.attn_output.weight | 0xf5324920 | 0xb40000 |
| 123 | blk.13.attn_q.weight | 0xf5e64920 | 0x898000 |
| 124 | blk.13.attn_v.weight | 0xf66fc920 | 0x2a8000 |
| 125 | blk.13.ffn_down.weight | 0xf69a4920 | 0x5a00000 |
| 126 | blk.13.ffn_gate.weight | 0xfc3a4920 | 0x44c0000 |
| 127 | blk.13.ffn_norm.weight | 0x100864920 | 0x5000 |
| 128 | blk.13.ffn_up.weight | 0x100869920 | 0x44c0000 |
| 129 | blk.14.attn_k.weight | 0x104d29920 | 0x226000 |
| 130 | blk.14.attn_norm.weight | 0x104f4f920 | 0x5000 |
| 131 | blk.14.attn_output.weight | 0x104f54920 | 0xb40000 |
| 132 | blk.14.attn_q.weight | 0x105a94920 | 0x898000 |
| 133 | blk.14.attn_v.weight | 0x10632c920 | 0x2a8000 |
| 134 | blk.14.ffn_down.weight | 0x1065d4920 | 0x5a00000 |
| 135 | blk.14.ffn_gate.weight | 0x10bfd4920 | 0x44c0000 |
| 136 | blk.14.ffn_norm.weight | 0x110494920 | 0x5000 |
| 137 | blk.14.ffn_up.weight | 0x110499920 | 0x44c0000 |
| 138 | blk.15.attn_k.weight | 0x114959920 | 0x226000 |
| 139 | blk.15.attn_norm.weight | 0x114b7f920 | 0x5000 |
| 140 | blk.15.attn_output.weight | 0x114b84920 | 0xb40000 |
| 141 | blk.15.attn_q.weight | 0x1156c4920 | 0x898000 |
| 142 | blk.15.attn_v.weight | 0x115f5c920 | 0x2a8000 |
| 143 | blk.15.ffn_down.weight | 0x116204920 | 0x5a00000 |
| 144 | blk.15.ffn_gate.weight | 0x11bc04920 | 0x44c0000 |
| 145 | blk.15.ffn_norm.weight | 0x1200c4920 | 0x5000 |
| 146 | blk.15.ffn_up.weight | 0x1200c9920 | 0x44c0000 |
| 147 | blk.16.attn_k.weight | 0x124589920 | 0x226000 |
| 148 | blk.16.attn_norm.weight | 0x1247af920 | 0x5000 |
| 149 | blk.16.attn_output.weight | 0x1247b4920 | 0xb40000 |
| 150 | blk.16.attn_q.weight | 0x1252f4920 | 0x898000 |
| 151 | blk.16.attn_v.weight | 0x125b8c920 | 0x2a8000 |
| 152 | blk.16.ffn_down.weight | 0x125e34920 | 0x5a00000 |
| 153 | blk.16.ffn_gate.weight | 0x12b834920 | 0x44c0000 |
| 154 | blk.16.ffn_norm.weight | 0x12fcf4920 | 0x5000 |
| 155 | blk.16.ffn_up.weight | 0x12fcf9920 | 0x44c0000 |
| 156 | blk.17.attn_k.weight | 0x1341b9920 | 0x2d0000 |
| 157 | blk.17.attn_norm.weight | 0x134489920 | 0x5000 |
| 158 | blk.17.attn_output.weight | 0x13448e920 | 0xb40000 |
| 159 | blk.17.attn_q.weight | 0x134fce920 | 0xb40000 |
| 160 | blk.17.attn_v.weight | 0x135b0e920 | 0x2d0000 |
| 161 | blk.17.ffn_down.weight | 0x135dde920 | 0x5a00000 |
| 162 | blk.17.ffn_gate.weight | 0x13b7de920 | 0x44c0000 |
| 163 | blk.17.ffn_norm.weight | 0x13fc9e920 | 0x5000 |
| 164 | blk.17.ffn_up.weight | 0x13fca3920 | 0x44c0000 |
| 165 | blk.18.attn_k.weight | 0x144163920 | 0x2d0000 |
| 166 | blk.18.attn_norm.weight | 0x144433920 | 0x5000 |
| 167 | blk.18.attn_output.weight | 0x144438920 | 0xb40000 |
| 168 | blk.18.attn_q.weight | 0x144f78920 | 0xb40000 |
| 169 | blk.18.attn_v.weight | 0x145ab8920 | 0x2d0000 |
| 170 | blk.18.ffn_down.weight | 0x145d88920 | 0x5a00000 |
| 171 | blk.18.ffn_gate.weight | 0x14b788920 | 0x44c0000 |
| 172 | blk.18.ffn_norm.weight | 0x14fc48920 | 0x5000 |
| 173 | blk.18.ffn_up.weight | 0x14fc4d920 | 0x44c0000 |
| 174 | blk.19.attn_k.weight | 0x15410d920 | 0x226000 |
| 175 | blk.19.attn_norm.weight | 0x154333920 | 0x5000 |
| 176 | blk.19.attn_output.weight | 0x154338920 | 0xb40000 |
| 177 | blk.19.attn_q.weight | 0x154e78920 | 0x898000 |
| 178 | blk.19.attn_v.weight | 0x155710920 | 0x2a8000 |
| 179 | blk.19.ffn_down.weight | 0x1559b8920 | 0x5a00000 |
| 180 | blk.19.ffn_gate.weight | 0x15b3b8920 | 0x44c0000 |
| 181 | blk.19.ffn_norm.weight | 0x15f878920 | 0x5000 |
| 182 | blk.19.ffn_up.weight | 0x15f87d920 | 0x44c0000 |
| 183 | blk.20.attn_k.weight | 0x163d3d920 | 0x2d0000 |
| 184 | blk.20.attn_norm.weight | 0x16400d920 | 0x5000 |
| 185 | blk.20.attn_output.weight | 0x164012920 | 0xb40000 |
| 186 | blk.20.attn_q.weight | 0x164b52920 | 0xb40000 |
| 187 | blk.20.attn_v.weight | 0x165692920 | 0x2d0000 |
| 188 | blk.20.ffn_down.weight | 0x165962920 | 0x5a00000 |
| 189 | blk.20.ffn_gate.weight | 0x16b362920 | 0x5a00000 |
| 190 | blk.20.ffn_norm.weight | 0x170d62920 | 0x5000 |
| 191 | blk.20.ffn_up.weight | 0x170d67920 | 0x5a00000 |
| 192 | blk.21.attn_k.weight | 0x176767920 | 0x226000 |
| 193 | blk.21.attn_norm.weight | 0x17698d920 | 0x5000 |
| 194 | blk.21.attn_output.weight | 0x176992920 | 0xb40000 |
| 195 | blk.21.attn_q.weight | 0x1774d2920 | 0x898000 |
| 196 | blk.21.attn_v.weight | 0x177d6a920 | 0x2a8000 |
| 197 | blk.21.ffn_down.weight | 0x178012920 | 0x5a00000 |
| 198 | blk.21.ffn_gate.weight | 0x17da12920 | 0x5a00000 |
| 199 | blk.21.ffn_norm.weight | 0x183412920 | 0x5000 |
| 200 | blk.21.ffn_up.weight | 0x183417920 | 0x5a00000 |
| 201 | blk.22.attn_k.weight | 0x188e17920 | 0x2d0000 |
| 202 | blk.22.attn_norm.weight | 0x1890e7920 | 0x5000 |
| 203 | blk.22.attn_output.weight | 0x1890ec920 | 0xb40000 |
| 204 | blk.22.attn_q.weight | 0x189c2c920 | 0xb40000 |
| 205 | blk.22.attn_v.weight | 0x18a76c920 | 0x2d0000 |
| 206 | blk.22.ffn_down.weight | 0x18aa3c920 | 0x5a00000 |
| 207 | blk.22.ffn_gate.weight | 0x19043c920 | 0x5a00000 |
| 208 | blk.22.ffn_norm.weight | 0x195e3c920 | 0x5000 |
| 209 | blk.22.ffn_up.weight | 0x195e41920 | 0x5a00000 |
| 210 | blk.23.attn_k.weight | 0x19b841920 | 0x2d0000 |
| 211 | blk.23.attn_norm.weight | 0x19bb11920 | 0x5000 |
| 212 | blk.23.attn_output.weight | 0x19bb16920 | 0xb40000 |
| 213 | blk.23.attn_q.weight | 0x19c656920 | 0xb40000 |
| 214 | blk.23.attn_v.weight | 0x19d196920 | 0x2d0000 |
| 215 | blk.23.ffn_down.weight | 0x19d466920 | 0x5a00000 |
| 216 | blk.23.ffn_gate.weight | 0x1a2e66920 | 0x5a00000 |
| 217 | blk.23.ffn_norm.weight | 0x1a8866920 | 0x5000 |
| 218 | blk.23.ffn_up.weight | 0x1a886b920 | 0x5a00000 |
| 219 | blk.24.attn_k.weight | 0x1ae26b920 | 0x2d0000 |
| 220 | blk.24.attn_norm.weight | 0x1ae53b920 | 0x5000 |
| 221 | blk.24.attn_output.weight | 0x1ae540920 | 0xb40000 |
| 222 | blk.24.attn_q.weight | 0x1af080920 | 0xb40000 |
| 223 | blk.24.attn_v.weight | 0x1afbc0920 | 0x2d0000 |
| 224 | blk.24.ffn_down.weight | 0x1afe90920 | 0x5a00000 |
| 225 | blk.24.ffn_gate.weight | 0x1b5890920 | 0x5a00000 |
| 226 | blk.24.ffn_norm.weight | 0x1bb290920 | 0x5000 |
| 227 | blk.24.ffn_up.weight | 0x1bb295920 | 0x5a00000 |
| 228 | blk.25.attn_k.weight | 0x1c0c95920 | 0x2d0000 |
| 229 | blk.25.attn_norm.weight | 0x1c0f65920 | 0x5000 |
| 230 | blk.25.attn_output.weight | 0x1c0f6a920 | 0xb40000 |
| 231 | blk.25.attn_q.weight | 0x1c1aaa920 | 0xb40000 |
| 232 | blk.25.attn_v.weight | 0x1c25ea920 | 0x2d0000 |
| 233 | blk.25.ffn_down.weight | 0x1c28ba920 | 0x5a00000 |
| 234 | blk.25.ffn_gate.weight | 0x1c82ba920 | 0x5a00000 |
| 235 | blk.25.ffn_norm.weight | 0x1cdcba920 | 0x5000 |
| 236 | blk.25.ffn_up.weight | 0x1cdcbf920 | 0x5a00000 |
| 237 | blk.26.attn_k.weight | 0x1d36bf920 | 0x2d0000 |
| 238 | blk.26.attn_norm.weight | 0x1d398f920 | 0x5000 |
| 239 | blk.26.attn_output.weight | 0x1d3994920 | 0xb40000 |
| 240 | blk.26.attn_q.weight | 0x1d44d4920 | 0xb40000 |
| 241 | blk.26.attn_v.weight | 0x1d5014920 | 0x2d0000 |
| 242 | blk.26.ffn_down.weight | 0x1d52e4920 | 0x5a00000 |
| 243 | blk.26.ffn_gate.weight | 0x1dace4920 | 0x5a00000 |
| 244 | blk.26.ffn_norm.weight | 0x1e06e4920 | 0x5000 |
| 245 | blk.26.ffn_up.weight | 0x1e06e9920 | 0x5a00000 |
| 246 | blk.27.attn_k.weight | 0x1e60e9920 | 0x226000 |
| 247 | blk.27.attn_norm.weight | 0x1e630f920 | 0x5000 |
| 248 | blk.27.attn_output.weight | 0x1e6314920 | 0xb40000 |
| 249 | blk.27.attn_q.weight | 0x1e6e54920 | 0x898000 |
| 250 | blk.27.attn_v.weight | 0x1e76ec920 | 0x2a8000 |
| 251 | blk.27.ffn_down.weight | 0x1e7994920 | 0x5a00000 |
| 252 | blk.27.ffn_gate.weight | 0x1ed394920 | 0x5a00000 |
| 253 | blk.27.ffn_norm.weight | 0x1f2d94920 | 0x5000 |
| 254 | blk.27.ffn_up.weight | 0x1f2d99920 | 0x5a00000 |
| 255 | blk.28.attn_k.weight | 0x1f8799920 | 0x2d0000 |
| 256 | blk.28.attn_norm.weight | 0x1f8a69920 | 0x5000 |
| 257 | blk.28.attn_output.weight | 0x1f8a6e920 | 0xb40000 |
| 258 | blk.28.attn_q.weight | 0x1f95ae920 | 0xb40000 |
| 259 | blk.28.attn_v.weight | 0x1fa0ee920 | 0x2d0000 |
| 260 | blk.28.ffn_down.weight | 0x1fa3be920 | 0x5a00000 |
| 261 | blk.28.ffn_gate.weight | 0x1ffdbe920 | 0x5a00000 |
| 262 | blk.28.ffn_norm.weight | 0x2057be920 | 0x5000 |
| 263 | blk.28.ffn_up.weight | 0x2057c3920 | 0x5a00000 |
| 264 | blk.29.attn_k.weight | 0x20b1c3920 | 0x2d0000 |
| 265 | blk.29.attn_norm.weight | 0x20b493920 | 0x5000 |
| 266 | blk.29.attn_output.weight | 0x20b498920 | 0xb40000 |
| 267 | blk.29.attn_q.weight | 0x20bfd8920 | 0xb40000 |
| 268 | blk.29.attn_v.weight | 0x20cb18920 | 0x2d0000 |
| 269 | blk.29.ffn_down.weight | 0x20cde8920 | 0x5a00000 |
| 270 | blk.29.ffn_gate.weight | 0x2127e8920 | 0x5a00000 |
| 271 | blk.29.ffn_norm.weight | 0x2181e8920 | 0x5000 |
| 272 | blk.29.ffn_up.weight | 0x2181ed920 | 0x5a00000 |
| 273 | blk.30.attn_k.weight | 0x21dbed920 | 0x2d0000 |
| 274 | blk.30.attn_norm.weight | 0x21debd920 | 0x5000 |
| 275 | blk.30.attn_output.weight | 0x21dec2920 | 0xb40000 |
| 276 | blk.30.attn_q.weight | 0x21ea02920 | 0xb40000 |
| 277 | blk.30.attn_v.weight | 0x21f542920 | 0x2d0000 |
| 278 | blk.30.ffn_down.weight | 0x21f812920 | 0x5a00000 |
| 279 | blk.30.ffn_gate.weight | 0x225212920 | 0x5a00000 |
| 280 | blk.30.ffn_norm.weight | 0x22ac12920 | 0x5000 |
| 281 | blk.30.ffn_up.weight | 0x22ac17920 | 0x5a00000 |
| 282 | blk.31.attn_k.weight | 0x230617920 | 0x2d0000 |
| 283 | blk.31.attn_norm.weight | 0x2308e7920 | 0x5000 |
| 284 | blk.31.attn_output.weight | 0x2308ec920 | 0xb40000 |
| 285 | blk.31.attn_q.weight | 0x23142c920 | 0xb40000 |
| 286 | blk.31.attn_v.weight | 0x231f6c920 | 0x2d0000 |
| 287 | blk.31.ffn_down.weight | 0x23223c920 | 0x5a00000 |
| 288 | blk.31.ffn_gate.weight | 0x237c3c920 | 0x5a00000 |
| 289 | blk.31.ffn_norm.weight | 0x23d63c920 | 0x5000 |
| 290 | blk.31.ffn_up.weight | 0x23d641920 | 0x5a00000 |
| 291 | blk.32.attn_k.weight | 0x243041920 | 0x2d0000 |
| 292 | blk.32.attn_norm.weight | 0x243311920 | 0x5000 |
| 293 | blk.32.attn_output.weight | 0x243316920 | 0xb40000 |
| 294 | blk.32.attn_q.weight | 0x243e56920 | 0xb40000 |
| 295 | blk.32.attn_v.weight | 0x244996920 | 0x2d0000 |
| 296 | blk.32.ffn_down.weight | 0x244c66920 | 0x5a00000 |
| 297 | blk.32.ffn_gate.weight | 0x24a666920 | 0x5a00000 |
| 298 | blk.32.ffn_norm.weight | 0x250066920 | 0x5000 |
| 299 | blk.32.ffn_up.weight | 0x25006b920 | 0x5a00000 |
| 300 | blk.33.attn_k.weight | 0x255a6b920 | 0x2d0000 |
| 301 | blk.33.attn_norm.weight | 0x255d3b920 | 0x5000 |
| 302 | blk.33.attn_output.weight | 0x255d40920 | 0xb40000 |
| 303 | blk.33.attn_q.weight | 0x256880920 | 0xb40000 |
| 304 | blk.33.attn_v.weight | 0x2573c0920 | 0x2d0000 |
| 305 | blk.33.ffn_down.weight | 0x257690920 | 0x5a00000 |
| 306 | blk.33.ffn_gate.weight | 0x25d090920 | 0x5a00000 |
| 307 | blk.33.ffn_norm.weight | 0x262a90920 | 0x5000 |
| 308 | blk.33.ffn_up.weight | 0x262a95920 | 0x5a00000 |
| 309 | blk.34.attn_k.weight | 0x268495920 | 0x2d0000 |
| 310 | blk.34.attn_norm.weight | 0x268765920 | 0x5000 |
| 311 | blk.34.attn_output.weight | 0x26876a920 | 0xb40000 |
| 312 | blk.34.attn_q.weight | 0x2692aa920 | 0xb40000 |
| 313 | blk.34.attn_v.weight | 0x269dea920 | 0x2d0000 |
| 314 | blk.34.ffn_down.weight | 0x26a0ba920 | 0x5a00000 |
| 315 | blk.34.ffn_gate.weight | 0x26faba920 | 0x5a00000 |
| 316 | blk.34.ffn_norm.weight | 0x2754ba920 | 0x5000 |
| 317 | blk.34.ffn_up.weight | 0x2754bf920 | 0x5a00000 |
| 318 | blk.35.attn_k.weight | 0x27aebf920 | 0x2d0000 |
| 319 | blk.35.attn_norm.weight | 0x27b18f920 | 0x5000 |
| 320 | blk.35.attn_output.weight | 0x27b194920 | 0xb40000 |
| 321 | blk.35.attn_q.weight | 0x27bcd4920 | 0xb40000 |
| 322 | blk.35.attn_v.weight | 0x27c814920 | 0x2d0000 |
| 323 | blk.35.ffn_down.weight | 0x27cae4920 | 0x5a00000 |
| 324 | blk.35.ffn_gate.weight | 0x2824e4920 | 0x5a00000 |
| 325 | blk.35.ffn_norm.weight | 0x287ee4920 | 0x5000 |
| 326 | blk.35.ffn_up.weight | 0x287ee9920 | 0x5a00000 |
| 327 | blk.36.attn_k.weight | 0x28d8e9920 | 0x2d0000 |
| 328 | blk.36.attn_norm.weight | 0x28dbb9920 | 0x5000 |
| 329 | blk.36.attn_output.weight | 0x28dbbe920 | 0xb40000 |
| 330 | blk.36.attn_q.weight | 0x28e6fe920 | 0xb40000 |
| 331 | blk.36.attn_v.weight | 0x28f23e920 | 0x2d0000 |
| 332 | blk.36.ffn_down.weight | 0x28f50e920 | 0x5a00000 |
| 333 | blk.36.ffn_gate.weight | 0x294f0e920 | 0x5a00000 |
| 334 | blk.36.ffn_norm.weight | 0x29a90e920 | 0x5000 |
| 335 | blk.36.ffn_up.weight | 0x29a913920 | 0x5a00000 |
| 336 | blk.37.attn_k.weight | 0x2a0313920 | 0x2d0000 |
| 337 | blk.37.attn_norm.weight | 0x2a05e3920 | 0x5000 |
| 338 | blk.37.attn_output.weight | 0x2a05e8920 | 0xb40000 |
| 339 | blk.37.attn_q.weight | 0x2a1128920 | 0xb40000 |
| 340 | blk.37.attn_v.weight | 0x2a1c68920 | 0x2d0000 |
| 341 | blk.37.ffn_down.weight | 0x2a1f38920 | 0x5a00000 |
| 342 | blk.37.ffn_gate.weight | 0x2a7938920 | 0x5a00000 |
| 343 | blk.37.ffn_norm.weight | 0x2ad338920 | 0x5000 |
| 344 | blk.37.ffn_up.weight | 0x2ad33d920 | 0x5a00000 |
| 345 | blk.38.attn_k.weight | 0x2b2d3d920 | 0x2d0000 |
| 346 | blk.38.attn_norm.weight | 0x2b300d920 | 0x5000 |
| 347 | blk.38.attn_output.weight | 0x2b3012920 | 0xb40000 |
| 348 | blk.38.attn_q.weight | 0x2b3b52920 | 0xb40000 |
| 349 | blk.38.attn_v.weight | 0x2b4692920 | 0x2d0000 |
| 350 | blk.38.ffn_down.weight | 0x2b4962920 | 0x5a00000 |
| 351 | blk.38.ffn_gate.weight | 0x2ba362920 | 0x5a00000 |
| 352 | blk.38.ffn_norm.weight | 0x2bfd62920 | 0x5000 |
| 353 | blk.38.ffn_up.weight | 0x2bfd67920 | 0x5a00000 |
| 354 | blk.39.attn_k.weight | 0x2c5767920 | 0x2d0000 |
| 355 | blk.39.attn_norm.weight | 0x2c5a37920 | 0x5000 |
| 356 | blk.39.attn_output.weight | 0x2c5a3c920 | 0xb40000 |
| 357 | blk.39.attn_q.weight | 0x2c657c920 | 0xb40000 |
| 358 | blk.39.attn_v.weight | 0x2c70bc920 | 0x2d0000 |
| 359 | blk.39.ffn_down.weight | 0x2c738c920 | 0x5a00000 |
| 360 | blk.39.ffn_gate.weight | 0x2ccd8c920 | 0x5a00000 |
| 361 | blk.39.ffn_norm.weight | 0x2d278c920 | 0x5000 |
| 362 | blk.39.ffn_up.weight | 0x2d2791920 | 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 | IQ4_NL |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 7 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 8 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 9 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 15 | blk.1.attn_q.weight | Block 1 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 16 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 17 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 18 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 24 | blk.2.attn_q.weight | Block 2 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 25 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 26 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 27 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 33 | blk.3.attn_q.weight | Block 3 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 34 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 35 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 36 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 42 | blk.4.attn_q.weight | Block 4 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 43 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 44 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 45 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 51 | blk.5.attn_q.weight | Block 5 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 52 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 53 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 54 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 60 | blk.6.attn_q.weight | Block 6 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 61 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 62 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 63 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 69 | blk.7.attn_q.weight | Block 7 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 70 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 71 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 72 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 78 | blk.8.attn_q.weight | Block 8 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 79 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 80 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 81 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 87 | blk.9.attn_q.weight | Block 9 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 88 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 89 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 90 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 96 | blk.10.attn_q.weight | Block 10 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 97 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 98 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 99 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 105 | blk.11.attn_q.weight | Block 11 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 106 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 107 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 108 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 114 | blk.12.attn_q.weight | Block 12 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 115 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 116 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 117 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 123 | blk.13.attn_q.weight | Block 13 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 124 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 125 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 126 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 132 | blk.14.attn_q.weight | Block 14 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 133 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 134 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 135 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 141 | blk.15.attn_q.weight | Block 15 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 142 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 143 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 144 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 150 | blk.16.attn_q.weight | Block 16 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 151 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 152 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 153 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 159 | blk.17.attn_q.weight | Block 17 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 160 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 161 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 162 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 168 | blk.18.attn_q.weight | Block 18 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 169 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 170 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 171 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 177 | blk.19.attn_q.weight | Block 19 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 178 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 179 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 180 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ3_S |
| 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 | IQ3_S |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 186 | blk.20.attn_q.weight | Block 20 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 187 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 188 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 189 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 195 | blk.21.attn_q.weight | Block 21 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 196 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 197 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 198 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 204 | blk.22.attn_q.weight | Block 22 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 205 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 206 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 207 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 213 | blk.23.attn_q.weight | Block 23 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 214 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 215 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 216 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 222 | blk.24.attn_q.weight | Block 24 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 223 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 224 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 225 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 231 | blk.25.attn_q.weight | Block 25 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 232 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 233 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 234 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 240 | blk.26.attn_q.weight | Block 26 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 241 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 242 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 243 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ3_S |
| 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 | IQ4_NL |
| 249 | blk.27.attn_q.weight | Block 27 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ3_S |
| 250 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_XS |
| 251 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 252 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 258 | blk.28.attn_q.weight | Block 28 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 259 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 260 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 261 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 267 | blk.29.attn_q.weight | Block 29 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 268 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 269 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 270 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 276 | blk.30.attn_q.weight | Block 30 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 277 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 278 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 279 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 285 | blk.31.attn_q.weight | Block 31 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 286 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 287 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 288 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 294 | blk.32.attn_q.weight | Block 32 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 295 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 296 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 297 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 303 | blk.33.attn_q.weight | Block 33 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 304 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 305 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 306 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 312 | blk.34.attn_q.weight | Block 34 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 313 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 314 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 315 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 321 | blk.35.attn_q.weight | Block 35 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 322 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 323 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 324 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 330 | blk.36.attn_q.weight | Block 36 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 331 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 332 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 333 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 339 | blk.37.attn_q.weight | Block 37 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 340 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 341 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 342 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 348 | blk.38.attn_q.weight | Block 38 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 349 | blk.38.attn_v.weight | Block 38 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 350 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 351 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- 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 | IQ4_NL |
| 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 | IQ4_NL |
| 357 | blk.39.attn_q.weight | Block 39 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | IQ4_NL |
| 358 | blk.39.attn_v.weight | Block 39 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | IQ4_NL |
| 359 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | IQ4_NL |
| 360 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | IQ4_NL |
| 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 | IQ4_NL |
- Total elements in blk.39: (~556M) 555755520
- Percentage of total elements: 2.36%