# Mistral-Small-3.2-24B-Instruct-2506-Q4_K_M-bartowski.gguf - GGUF Internal File Dump - Endian: LITTLE endian ## Key Value Metadata Store There are 49 key-value pairs in this file | POS | TYPE | Count | Key | Value | |----:|:---------|-------:|:---------------------------------------|:--------------------------------------------------------------------| | 1 | UINT32 | 1 | GGUF.version | 3 | | 2 | UINT64 | 1 | GGUF.tensor_count | 363 | | 3 | UINT64 | 1 | GGUF.kv_count | 46 | | 4 | STRING | 1 | general.architecture | `llama` | | 5 | STRING | 1 | general.type | `model` | | 6 | STRING | 1 | general.name | `Mistral Small 3.2 24B Instruct 2506` | | 7 | STRING | 1 | general.version | `2506` | | 8 | STRING | 1 | general.finetune | `Instruct` | | 9 | STRING | 1 | general.basename | `Mistral-Small-3.2` | | 10 | STRING | 1 | general.size_label | `24B` | | 11 | STRING | 1 | general.license | `apache-2.0` | | 12 | UINT32 | 1 | general.base_model.count | 1 | | 13 | STRING | 1 | general.base_model.0.name | `Mistral Small 3.1 24B Base 2503` | | 14 | STRING | 1 | general.base_model.0.version | `2503` | | 15 | STRING | 1 | general.base_model.0.organization | `Mistralai` | | 16 | STRING | 1 | general.base_model.0.repo_url | `https://huggingface.co/mistral`...`istral-Small-3.1-24B-Base-2503` | | 17 | [STRING] | 1 | general.tags | [ `image-text-to-text` ] | | 18 | [STRING] | 24 | general.languages | [ `en`, `fr`, `de`, `es`, `pt`, ... ] | | 19 | UINT32 | 1 | llama.block_count | 40 | | 20 | UINT32 | 1 | llama.context_length | 131072 | | 21 | UINT32 | 1 | llama.embedding_length | 5120 | | 22 | UINT32 | 1 | llama.feed_forward_length | 32768 | | 23 | UINT32 | 1 | llama.attention.head_count | 32 | | 24 | UINT32 | 1 | llama.attention.head_count_kv | 8 | | 25 | FLOAT32 | 1 | llama.rope.freq_base | 1000000000.0 | | 26 | FLOAT32 | 1 | llama.attention.layer_norm_rms_epsilon | 1e-05 | | 27 | UINT32 | 1 | llama.attention.key_length | 128 | | 28 | UINT32 | 1 | llama.attention.value_length | 128 | | 29 | UINT32 | 1 | llama.vocab_size | 131072 | | 30 | UINT32 | 1 | llama.rope.dimension_count | 128 | | 31 | STRING | 1 | tokenizer.ggml.model | `gpt2` | | 32 | STRING | 1 | tokenizer.ggml.pre | `tekken` | | 33 | [STRING] | 131072 | tokenizer.ggml.tokens | [ ``, ``, ``, `[INST]`, `[/INST]`, ... ] | | 34 | [INT32] | 131072 | tokenizer.ggml.token_type | [ 3, 3, 3, 3, 3, 3, 3, ... ] | | 35 | [STRING] | 269443 | tokenizer.ggml.merges | [ `Ġ Ġ`, `Ġ t`, `e r`, `i n`, `Ġ ĠĠĠ`, ... ] | | 36 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 1 | | 37 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 2 | | 38 | UINT32 | 1 | tokenizer.ggml.unknown_token_id | 0 | | 39 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 11 | | 40 | BOOL | 1 | tokenizer.ggml.add_bos_token | True | | 41 | BOOL | 1 | tokenizer.ggml.add_eos_token | False | | 42 | STRING | 1 | tokenizer.chat_template | `{%- set today = strftime_now("`...` {%- endif %}{%- endfor %}` | | 43 | BOOL | 1 | tokenizer.ggml.add_space_prefix | False | | 44 | UINT32 | 1 | general.quantization_version | 2 | | 45 | UINT32 | 1 | general.file_type | 15 | | 46 | STRING | 1 | quantize.imatrix.file | `/models_out/Mistral-Small-3.2-`...`-3.2-24B-Instruct-2506.imatrix` | | 47 | STRING | 1 | quantize.imatrix.dataset | `/training_dir/calibration_datav3.txt` | | 48 | UINT32 | 1 | quantize.imatrix.entries_count | 280 | | 49 | UINT32 | 1 | quantize.imatrix.chunks_count | 499 | ## Tensors Overview ~24B Elements Total number of elements in all tensors: 23572403200 Elements - [Mistral-Small-3.2-24B-Instruct-2506-Q4\_K\_M-bartowski.gguf - GGUF Internal File Dump](#mistral-small-32-24b-instruct-2506-q4_k_m-bartowskigguf---gguf-internal-file-dump) - [Key Value Metadata Store](#key-value-metadata-store) - [Tensors Overview ~24B Elements](#tensors-overview-24b-elements) - [Tensor Data Offset](#tensor-data-offset) - [Base Tensor Group : ~1B Elements](#base-tensor-group--1b-elements) - [Block 0 Tensor Group : ~556M Elements](#block-0-tensor-group--556m-elements) - [Block 1 Tensor Group : ~556M Elements](#block-1-tensor-group--556m-elements) - [Block 2 Tensor Group : ~556M Elements](#block-2-tensor-group--556m-elements) - [Block 3 Tensor Group : ~556M Elements](#block-3-tensor-group--556m-elements) - [Block 4 Tensor Group : ~556M Elements](#block-4-tensor-group--556m-elements) - [Block 5 Tensor Group : ~556M Elements](#block-5-tensor-group--556m-elements) - [Block 6 Tensor Group : ~556M Elements](#block-6-tensor-group--556m-elements) - [Block 7 Tensor Group : ~556M Elements](#block-7-tensor-group--556m-elements) - [Block 8 Tensor Group : ~556M Elements](#block-8-tensor-group--556m-elements) - [Block 9 Tensor Group : ~556M Elements](#block-9-tensor-group--556m-elements) - [Block 10 Tensor Group : ~556M Elements](#block-10-tensor-group--556m-elements) - [Block 11 Tensor Group : ~556M Elements](#block-11-tensor-group--556m-elements) - [Block 12 Tensor Group : ~556M Elements](#block-12-tensor-group--556m-elements) - [Block 13 Tensor Group : ~556M Elements](#block-13-tensor-group--556m-elements) - [Block 14 Tensor Group : ~556M Elements](#block-14-tensor-group--556m-elements) - [Block 15 Tensor Group : ~556M Elements](#block-15-tensor-group--556m-elements) - [Block 16 Tensor Group : ~556M Elements](#block-16-tensor-group--556m-elements) - [Block 17 Tensor Group : ~556M Elements](#block-17-tensor-group--556m-elements) - [Block 18 Tensor Group : ~556M Elements](#block-18-tensor-group--556m-elements) - [Block 19 Tensor Group : ~556M Elements](#block-19-tensor-group--556m-elements) - [Block 20 Tensor Group : ~556M Elements](#block-20-tensor-group--556m-elements) - [Block 21 Tensor Group : ~556M Elements](#block-21-tensor-group--556m-elements) - [Block 22 Tensor Group : ~556M Elements](#block-22-tensor-group--556m-elements) - [Block 23 Tensor Group : ~556M Elements](#block-23-tensor-group--556m-elements) - [Block 24 Tensor Group : ~556M Elements](#block-24-tensor-group--556m-elements) - [Block 25 Tensor Group : ~556M Elements](#block-25-tensor-group--556m-elements) - [Block 26 Tensor Group : ~556M Elements](#block-26-tensor-group--556m-elements) - [Block 27 Tensor Group : ~556M Elements](#block-27-tensor-group--556m-elements) - [Block 28 Tensor Group : ~556M Elements](#block-28-tensor-group--556m-elements) - [Block 29 Tensor Group : ~556M Elements](#block-29-tensor-group--556m-elements) - [Block 30 Tensor Group : ~556M Elements](#block-30-tensor-group--556m-elements) - [Block 31 Tensor Group : ~556M Elements](#block-31-tensor-group--556m-elements) - [Block 32 Tensor Group : ~556M Elements](#block-32-tensor-group--556m-elements) - [Block 33 Tensor Group : ~556M Elements](#block-33-tensor-group--556m-elements) - [Block 34 Tensor Group : ~556M Elements](#block-34-tensor-group--556m-elements) - [Block 35 Tensor Group : ~556M Elements](#block-35-tensor-group--556m-elements) - [Block 36 Tensor Group : ~556M Elements](#block-36-tensor-group--556m-elements) - [Block 37 Tensor Group : ~556M Elements](#block-37-tensor-group--556m-elements) - [Block 38 Tensor Group : ~556M Elements](#block-38-tensor-group--556m-elements) - [Block 39 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 | 0x786080 | 0x20d00000 | | 1 | output_norm.weight | 0x21486080 | 0x5000 | | 2 | token_embd.weight | 0x2148b080 | 0x16800000 | | 3 | blk.0.attn_k.weight | 0x37c8b080 | 0x2d0000 | | 4 | blk.0.attn_norm.weight | 0x37f5b080 | 0x5000 | | 5 | blk.0.attn_output.weight | 0x37f60080 | 0xb40000 | | 6 | blk.0.attn_q.weight | 0x38aa0080 | 0xb40000 | | 7 | blk.0.attn_v.weight | 0x395e0080 | 0x41a000 | | 8 | blk.0.ffn_down.weight | 0x399fa080 | 0x8340000 | | 9 | blk.0.ffn_gate.weight | 0x41d3a080 | 0x5a00000 | | 10 | blk.0.ffn_norm.weight | 0x4773a080 | 0x5000 | | 11 | blk.0.ffn_up.weight | 0x4773f080 | 0x5a00000 | | 12 | blk.1.attn_k.weight | 0x4d13f080 | 0x2d0000 | | 13 | blk.1.attn_norm.weight | 0x4d40f080 | 0x5000 | | 14 | blk.1.attn_output.weight | 0x4d414080 | 0xb40000 | | 15 | blk.1.attn_q.weight | 0x4df54080 | 0xb40000 | | 16 | blk.1.attn_v.weight | 0x4ea94080 | 0x41a000 | | 17 | blk.1.ffn_down.weight | 0x4eeae080 | 0x8340000 | | 18 | blk.1.ffn_gate.weight | 0x571ee080 | 0x5a00000 | | 19 | blk.1.ffn_norm.weight | 0x5cbee080 | 0x5000 | | 20 | blk.1.ffn_up.weight | 0x5cbf3080 | 0x5a00000 | | 21 | blk.2.attn_k.weight | 0x625f3080 | 0x2d0000 | | 22 | blk.2.attn_norm.weight | 0x628c3080 | 0x5000 | | 23 | blk.2.attn_output.weight | 0x628c8080 | 0xb40000 | | 24 | blk.2.attn_q.weight | 0x63408080 | 0xb40000 | | 25 | blk.2.attn_v.weight | 0x63f48080 | 0x41a000 | | 26 | blk.2.ffn_down.weight | 0x64362080 | 0x8340000 | | 27 | blk.2.ffn_gate.weight | 0x6c6a2080 | 0x5a00000 | | 28 | blk.2.ffn_norm.weight | 0x720a2080 | 0x5000 | | 29 | blk.2.ffn_up.weight | 0x720a7080 | 0x5a00000 | | 30 | blk.3.attn_k.weight | 0x77aa7080 | 0x2d0000 | | 31 | blk.3.attn_norm.weight | 0x77d77080 | 0x5000 | | 32 | blk.3.attn_output.weight | 0x77d7c080 | 0xb40000 | | 33 | blk.3.attn_q.weight | 0x788bc080 | 0xb40000 | | 34 | blk.3.attn_v.weight | 0x793fc080 | 0x41a000 | | 35 | blk.3.ffn_down.weight | 0x79816080 | 0x8340000 | | 36 | blk.3.ffn_gate.weight | 0x81b56080 | 0x5a00000 | | 37 | blk.3.ffn_norm.weight | 0x87556080 | 0x5000 | | 38 | blk.3.ffn_up.weight | 0x8755b080 | 0x5a00000 | | 39 | blk.4.attn_k.weight | 0x8cf5b080 | 0x2d0000 | | 40 | blk.4.attn_norm.weight | 0x8d22b080 | 0x5000 | | 41 | blk.4.attn_output.weight | 0x8d230080 | 0xb40000 | | 42 | blk.4.attn_q.weight | 0x8dd70080 | 0xb40000 | | 43 | blk.4.attn_v.weight | 0x8e8b0080 | 0x41a000 | | 44 | blk.4.ffn_down.weight | 0x8ecca080 | 0x8340000 | | 45 | blk.4.ffn_gate.weight | 0x9700a080 | 0x5a00000 | | 46 | blk.4.ffn_norm.weight | 0x9ca0a080 | 0x5000 | | 47 | blk.4.ffn_up.weight | 0x9ca0f080 | 0x5a00000 | | 48 | blk.5.attn_k.weight | 0xa240f080 | 0x2d0000 | | 49 | blk.5.attn_norm.weight | 0xa26df080 | 0x5000 | | 50 | blk.5.attn_output.weight | 0xa26e4080 | 0xb40000 | | 51 | blk.5.attn_q.weight | 0xa3224080 | 0xb40000 | | 52 | blk.5.attn_v.weight | 0xa3d64080 | 0x2d0000 | | 53 | blk.5.ffn_down.weight | 0xa4034080 | 0x5a00000 | | 54 | blk.5.ffn_gate.weight | 0xa9a34080 | 0x5a00000 | | 55 | blk.5.ffn_norm.weight | 0xaf434080 | 0x5000 | | 56 | blk.5.ffn_up.weight | 0xaf439080 | 0x5a00000 | | 57 | blk.6.attn_k.weight | 0xb4e39080 | 0x2d0000 | | 58 | blk.6.attn_norm.weight | 0xb5109080 | 0x5000 | | 59 | blk.6.attn_output.weight | 0xb510e080 | 0xb40000 | | 60 | blk.6.attn_q.weight | 0xb5c4e080 | 0xb40000 | | 61 | blk.6.attn_v.weight | 0xb678e080 | 0x2d0000 | | 62 | blk.6.ffn_down.weight | 0xb6a5e080 | 0x5a00000 | | 63 | blk.6.ffn_gate.weight | 0xbc45e080 | 0x5a00000 | | 64 | blk.6.ffn_norm.weight | 0xc1e5e080 | 0x5000 | | 65 | blk.6.ffn_up.weight | 0xc1e63080 | 0x5a00000 | | 66 | blk.7.attn_k.weight | 0xc7863080 | 0x2d0000 | | 67 | blk.7.attn_norm.weight | 0xc7b33080 | 0x5000 | | 68 | blk.7.attn_output.weight | 0xc7b38080 | 0xb40000 | | 69 | blk.7.attn_q.weight | 0xc8678080 | 0xb40000 | | 70 | blk.7.attn_v.weight | 0xc91b8080 | 0x41a000 | | 71 | blk.7.ffn_down.weight | 0xc95d2080 | 0x8340000 | | 72 | blk.7.ffn_gate.weight | 0xd1912080 | 0x5a00000 | | 73 | blk.7.ffn_norm.weight | 0xd7312080 | 0x5000 | | 74 | blk.7.ffn_up.weight | 0xd7317080 | 0x5a00000 | | 75 | blk.8.attn_k.weight | 0xdcd17080 | 0x2d0000 | | 76 | blk.8.attn_norm.weight | 0xdcfe7080 | 0x5000 | | 77 | blk.8.attn_output.weight | 0xdcfec080 | 0xb40000 | | 78 | blk.8.attn_q.weight | 0xddb2c080 | 0xb40000 | | 79 | blk.8.attn_v.weight | 0xde66c080 | 0x2d0000 | | 80 | blk.8.ffn_down.weight | 0xde93c080 | 0x5a00000 | | 81 | blk.8.ffn_gate.weight | 0xe433c080 | 0x5a00000 | | 82 | blk.8.ffn_norm.weight | 0xe9d3c080 | 0x5000 | | 83 | blk.8.ffn_up.weight | 0xe9d41080 | 0x5a00000 | | 84 | blk.9.attn_k.weight | 0xef741080 | 0x2d0000 | | 85 | blk.9.attn_norm.weight | 0xefa11080 | 0x5000 | | 86 | blk.9.attn_output.weight | 0xefa16080 | 0xb40000 | | 87 | blk.9.attn_q.weight | 0xf0556080 | 0xb40000 | | 88 | blk.9.attn_v.weight | 0xf1096080 | 0x2d0000 | | 89 | blk.9.ffn_down.weight | 0xf1366080 | 0x5a00000 | | 90 | blk.9.ffn_gate.weight | 0xf6d66080 | 0x5a00000 | | 91 | blk.9.ffn_norm.weight | 0xfc766080 | 0x5000 | | 92 | blk.9.ffn_up.weight | 0xfc76b080 | 0x5a00000 | | 93 | blk.10.attn_k.weight | 0x10216b080 | 0x2d0000 | | 94 | blk.10.attn_norm.weight | 0x10243b080 | 0x5000 | | 95 | blk.10.attn_output.weight | 0x102440080 | 0xb40000 | | 96 | blk.10.attn_q.weight | 0x102f80080 | 0xb40000 | | 97 | blk.10.attn_v.weight | 0x103ac0080 | 0x41a000 | | 98 | blk.10.ffn_down.weight | 0x103eda080 | 0x8340000 | | 99 | blk.10.ffn_gate.weight | 0x10c21a080 | 0x5a00000 | | 100 | blk.10.ffn_norm.weight | 0x111c1a080 | 0x5000 | | 101 | blk.10.ffn_up.weight | 0x111c1f080 | 0x5a00000 | | 102 | blk.11.attn_k.weight | 0x11761f080 | 0x2d0000 | | 103 | blk.11.attn_norm.weight | 0x1178ef080 | 0x5000 | | 104 | blk.11.attn_output.weight | 0x1178f4080 | 0xb40000 | | 105 | blk.11.attn_q.weight | 0x118434080 | 0xb40000 | | 106 | blk.11.attn_v.weight | 0x118f74080 | 0x2d0000 | | 107 | blk.11.ffn_down.weight | 0x119244080 | 0x5a00000 | | 108 | blk.11.ffn_gate.weight | 0x11ec44080 | 0x5a00000 | | 109 | blk.11.ffn_norm.weight | 0x124644080 | 0x5000 | | 110 | blk.11.ffn_up.weight | 0x124649080 | 0x5a00000 | | 111 | blk.12.attn_k.weight | 0x12a049080 | 0x2d0000 | | 112 | blk.12.attn_norm.weight | 0x12a319080 | 0x5000 | | 113 | blk.12.attn_output.weight | 0x12a31e080 | 0xb40000 | | 114 | blk.12.attn_q.weight | 0x12ae5e080 | 0xb40000 | | 115 | blk.12.attn_v.weight | 0x12b99e080 | 0x2d0000 | | 116 | blk.12.ffn_down.weight | 0x12bc6e080 | 0x5a00000 | | 117 | blk.12.ffn_gate.weight | 0x13166e080 | 0x5a00000 | | 118 | blk.12.ffn_norm.weight | 0x13706e080 | 0x5000 | | 119 | blk.12.ffn_up.weight | 0x137073080 | 0x5a00000 | | 120 | blk.13.attn_k.weight | 0x13ca73080 | 0x2d0000 | | 121 | blk.13.attn_norm.weight | 0x13cd43080 | 0x5000 | | 122 | blk.13.attn_output.weight | 0x13cd48080 | 0xb40000 | | 123 | blk.13.attn_q.weight | 0x13d888080 | 0xb40000 | | 124 | blk.13.attn_v.weight | 0x13e3c8080 | 0x41a000 | | 125 | blk.13.ffn_down.weight | 0x13e7e2080 | 0x8340000 | | 126 | blk.13.ffn_gate.weight | 0x146b22080 | 0x5a00000 | | 127 | blk.13.ffn_norm.weight | 0x14c522080 | 0x5000 | | 128 | blk.13.ffn_up.weight | 0x14c527080 | 0x5a00000 | | 129 | blk.14.attn_k.weight | 0x151f27080 | 0x2d0000 | | 130 | blk.14.attn_norm.weight | 0x1521f7080 | 0x5000 | | 131 | blk.14.attn_output.weight | 0x1521fc080 | 0xb40000 | | 132 | blk.14.attn_q.weight | 0x152d3c080 | 0xb40000 | | 133 | blk.14.attn_v.weight | 0x15387c080 | 0x2d0000 | | 134 | blk.14.ffn_down.weight | 0x153b4c080 | 0x5a00000 | | 135 | blk.14.ffn_gate.weight | 0x15954c080 | 0x5a00000 | | 136 | blk.14.ffn_norm.weight | 0x15ef4c080 | 0x5000 | | 137 | blk.14.ffn_up.weight | 0x15ef51080 | 0x5a00000 | | 138 | blk.15.attn_k.weight | 0x164951080 | 0x2d0000 | | 139 | blk.15.attn_norm.weight | 0x164c21080 | 0x5000 | | 140 | blk.15.attn_output.weight | 0x164c26080 | 0xb40000 | | 141 | blk.15.attn_q.weight | 0x165766080 | 0xb40000 | | 142 | blk.15.attn_v.weight | 0x1662a6080 | 0x2d0000 | | 143 | blk.15.ffn_down.weight | 0x166576080 | 0x5a00000 | | 144 | blk.15.ffn_gate.weight | 0x16bf76080 | 0x5a00000 | | 145 | blk.15.ffn_norm.weight | 0x171976080 | 0x5000 | | 146 | blk.15.ffn_up.weight | 0x17197b080 | 0x5a00000 | | 147 | blk.16.attn_k.weight | 0x17737b080 | 0x2d0000 | | 148 | blk.16.attn_norm.weight | 0x17764b080 | 0x5000 | | 149 | blk.16.attn_output.weight | 0x177650080 | 0xb40000 | | 150 | blk.16.attn_q.weight | 0x178190080 | 0xb40000 | | 151 | blk.16.attn_v.weight | 0x178cd0080 | 0x41a000 | | 152 | blk.16.ffn_down.weight | 0x1790ea080 | 0x8340000 | | 153 | blk.16.ffn_gate.weight | 0x18142a080 | 0x5a00000 | | 154 | blk.16.ffn_norm.weight | 0x186e2a080 | 0x5000 | | 155 | blk.16.ffn_up.weight | 0x186e2f080 | 0x5a00000 | | 156 | blk.17.attn_k.weight | 0x18c82f080 | 0x2d0000 | | 157 | blk.17.attn_norm.weight | 0x18caff080 | 0x5000 | | 158 | blk.17.attn_output.weight | 0x18cb04080 | 0xb40000 | | 159 | blk.17.attn_q.weight | 0x18d644080 | 0xb40000 | | 160 | blk.17.attn_v.weight | 0x18e184080 | 0x2d0000 | | 161 | blk.17.ffn_down.weight | 0x18e454080 | 0x5a00000 | | 162 | blk.17.ffn_gate.weight | 0x193e54080 | 0x5a00000 | | 163 | blk.17.ffn_norm.weight | 0x199854080 | 0x5000 | | 164 | blk.17.ffn_up.weight | 0x199859080 | 0x5a00000 | | 165 | blk.18.attn_k.weight | 0x19f259080 | 0x2d0000 | | 166 | blk.18.attn_norm.weight | 0x19f529080 | 0x5000 | | 167 | blk.18.attn_output.weight | 0x19f52e080 | 0xb40000 | | 168 | blk.18.attn_q.weight | 0x1a006e080 | 0xb40000 | | 169 | blk.18.attn_v.weight | 0x1a0bae080 | 0x2d0000 | | 170 | blk.18.ffn_down.weight | 0x1a0e7e080 | 0x5a00000 | | 171 | blk.18.ffn_gate.weight | 0x1a687e080 | 0x5a00000 | | 172 | blk.18.ffn_norm.weight | 0x1ac27e080 | 0x5000 | | 173 | blk.18.ffn_up.weight | 0x1ac283080 | 0x5a00000 | | 174 | blk.19.attn_k.weight | 0x1b1c83080 | 0x2d0000 | | 175 | blk.19.attn_norm.weight | 0x1b1f53080 | 0x5000 | | 176 | blk.19.attn_output.weight | 0x1b1f58080 | 0xb40000 | | 177 | blk.19.attn_q.weight | 0x1b2a98080 | 0xb40000 | | 178 | blk.19.attn_v.weight | 0x1b35d8080 | 0x41a000 | | 179 | blk.19.ffn_down.weight | 0x1b39f2080 | 0x8340000 | | 180 | blk.19.ffn_gate.weight | 0x1bbd32080 | 0x5a00000 | | 181 | blk.19.ffn_norm.weight | 0x1c1732080 | 0x5000 | | 182 | blk.19.ffn_up.weight | 0x1c1737080 | 0x5a00000 | | 183 | blk.20.attn_k.weight | 0x1c7137080 | 0x2d0000 | | 184 | blk.20.attn_norm.weight | 0x1c7407080 | 0x5000 | | 185 | blk.20.attn_output.weight | 0x1c740c080 | 0xb40000 | | 186 | blk.20.attn_q.weight | 0x1c7f4c080 | 0xb40000 | | 187 | blk.20.attn_v.weight | 0x1c8a8c080 | 0x2d0000 | | 188 | blk.20.ffn_down.weight | 0x1c8d5c080 | 0x5a00000 | | 189 | blk.20.ffn_gate.weight | 0x1ce75c080 | 0x5a00000 | | 190 | blk.20.ffn_norm.weight | 0x1d415c080 | 0x5000 | | 191 | blk.20.ffn_up.weight | 0x1d4161080 | 0x5a00000 | | 192 | blk.21.attn_k.weight | 0x1d9b61080 | 0x2d0000 | | 193 | blk.21.attn_norm.weight | 0x1d9e31080 | 0x5000 | | 194 | blk.21.attn_output.weight | 0x1d9e36080 | 0xb40000 | | 195 | blk.21.attn_q.weight | 0x1da976080 | 0xb40000 | | 196 | blk.21.attn_v.weight | 0x1db4b6080 | 0x2d0000 | | 197 | blk.21.ffn_down.weight | 0x1db786080 | 0x5a00000 | | 198 | blk.21.ffn_gate.weight | 0x1e1186080 | 0x5a00000 | | 199 | blk.21.ffn_norm.weight | 0x1e6b86080 | 0x5000 | | 200 | blk.21.ffn_up.weight | 0x1e6b8b080 | 0x5a00000 | | 201 | blk.22.attn_k.weight | 0x1ec58b080 | 0x2d0000 | | 202 | blk.22.attn_norm.weight | 0x1ec85b080 | 0x5000 | | 203 | blk.22.attn_output.weight | 0x1ec860080 | 0xb40000 | | 204 | blk.22.attn_q.weight | 0x1ed3a0080 | 0xb40000 | | 205 | blk.22.attn_v.weight | 0x1edee0080 | 0x41a000 | | 206 | blk.22.ffn_down.weight | 0x1ee2fa080 | 0x8340000 | | 207 | blk.22.ffn_gate.weight | 0x1f663a080 | 0x5a00000 | | 208 | blk.22.ffn_norm.weight | 0x1fc03a080 | 0x5000 | | 209 | blk.22.ffn_up.weight | 0x1fc03f080 | 0x5a00000 | | 210 | blk.23.attn_k.weight | 0x201a3f080 | 0x2d0000 | | 211 | blk.23.attn_norm.weight | 0x201d0f080 | 0x5000 | | 212 | blk.23.attn_output.weight | 0x201d14080 | 0xb40000 | | 213 | blk.23.attn_q.weight | 0x202854080 | 0xb40000 | | 214 | blk.23.attn_v.weight | 0x203394080 | 0x2d0000 | | 215 | blk.23.ffn_down.weight | 0x203664080 | 0x5a00000 | | 216 | blk.23.ffn_gate.weight | 0x209064080 | 0x5a00000 | | 217 | blk.23.ffn_norm.weight | 0x20ea64080 | 0x5000 | | 218 | blk.23.ffn_up.weight | 0x20ea69080 | 0x5a00000 | | 219 | blk.24.attn_k.weight | 0x214469080 | 0x2d0000 | | 220 | blk.24.attn_norm.weight | 0x214739080 | 0x5000 | | 221 | blk.24.attn_output.weight | 0x21473e080 | 0xb40000 | | 222 | blk.24.attn_q.weight | 0x21527e080 | 0xb40000 | | 223 | blk.24.attn_v.weight | 0x215dbe080 | 0x2d0000 | | 224 | blk.24.ffn_down.weight | 0x21608e080 | 0x5a00000 | | 225 | blk.24.ffn_gate.weight | 0x21ba8e080 | 0x5a00000 | | 226 | blk.24.ffn_norm.weight | 0x22148e080 | 0x5000 | | 227 | blk.24.ffn_up.weight | 0x221493080 | 0x5a00000 | | 228 | blk.25.attn_k.weight | 0x226e93080 | 0x2d0000 | | 229 | blk.25.attn_norm.weight | 0x227163080 | 0x5000 | | 230 | blk.25.attn_output.weight | 0x227168080 | 0xb40000 | | 231 | blk.25.attn_q.weight | 0x227ca8080 | 0xb40000 | | 232 | blk.25.attn_v.weight | 0x2287e8080 | 0x41a000 | | 233 | blk.25.ffn_down.weight | 0x228c02080 | 0x8340000 | | 234 | blk.25.ffn_gate.weight | 0x230f42080 | 0x5a00000 | | 235 | blk.25.ffn_norm.weight | 0x236942080 | 0x5000 | | 236 | blk.25.ffn_up.weight | 0x236947080 | 0x5a00000 | | 237 | blk.26.attn_k.weight | 0x23c347080 | 0x2d0000 | | 238 | blk.26.attn_norm.weight | 0x23c617080 | 0x5000 | | 239 | blk.26.attn_output.weight | 0x23c61c080 | 0xb40000 | | 240 | blk.26.attn_q.weight | 0x23d15c080 | 0xb40000 | | 241 | blk.26.attn_v.weight | 0x23dc9c080 | 0x2d0000 | | 242 | blk.26.ffn_down.weight | 0x23df6c080 | 0x5a00000 | | 243 | blk.26.ffn_gate.weight | 0x24396c080 | 0x5a00000 | | 244 | blk.26.ffn_norm.weight | 0x24936c080 | 0x5000 | | 245 | blk.26.ffn_up.weight | 0x249371080 | 0x5a00000 | | 246 | blk.27.attn_k.weight | 0x24ed71080 | 0x2d0000 | | 247 | blk.27.attn_norm.weight | 0x24f041080 | 0x5000 | | 248 | blk.27.attn_output.weight | 0x24f046080 | 0xb40000 | | 249 | blk.27.attn_q.weight | 0x24fb86080 | 0xb40000 | | 250 | blk.27.attn_v.weight | 0x2506c6080 | 0x2d0000 | | 251 | blk.27.ffn_down.weight | 0x250996080 | 0x5a00000 | | 252 | blk.27.ffn_gate.weight | 0x256396080 | 0x5a00000 | | 253 | blk.27.ffn_norm.weight | 0x25bd96080 | 0x5000 | | 254 | blk.27.ffn_up.weight | 0x25bd9b080 | 0x5a00000 | | 255 | blk.28.attn_k.weight | 0x26179b080 | 0x2d0000 | | 256 | blk.28.attn_norm.weight | 0x261a6b080 | 0x5000 | | 257 | blk.28.attn_output.weight | 0x261a70080 | 0xb40000 | | 258 | blk.28.attn_q.weight | 0x2625b0080 | 0xb40000 | | 259 | blk.28.attn_v.weight | 0x2630f0080 | 0x41a000 | | 260 | blk.28.ffn_down.weight | 0x26350a080 | 0x8340000 | | 261 | blk.28.ffn_gate.weight | 0x26b84a080 | 0x5a00000 | | 262 | blk.28.ffn_norm.weight | 0x27124a080 | 0x5000 | | 263 | blk.28.ffn_up.weight | 0x27124f080 | 0x5a00000 | | 264 | blk.29.attn_k.weight | 0x276c4f080 | 0x2d0000 | | 265 | blk.29.attn_norm.weight | 0x276f1f080 | 0x5000 | | 266 | blk.29.attn_output.weight | 0x276f24080 | 0xb40000 | | 267 | blk.29.attn_q.weight | 0x277a64080 | 0xb40000 | | 268 | blk.29.attn_v.weight | 0x2785a4080 | 0x2d0000 | | 269 | blk.29.ffn_down.weight | 0x278874080 | 0x5a00000 | | 270 | blk.29.ffn_gate.weight | 0x27e274080 | 0x5a00000 | | 271 | blk.29.ffn_norm.weight | 0x283c74080 | 0x5000 | | 272 | blk.29.ffn_up.weight | 0x283c79080 | 0x5a00000 | | 273 | blk.30.attn_k.weight | 0x289679080 | 0x2d0000 | | 274 | blk.30.attn_norm.weight | 0x289949080 | 0x5000 | | 275 | blk.30.attn_output.weight | 0x28994e080 | 0xb40000 | | 276 | blk.30.attn_q.weight | 0x28a48e080 | 0xb40000 | | 277 | blk.30.attn_v.weight | 0x28afce080 | 0x2d0000 | | 278 | blk.30.ffn_down.weight | 0x28b29e080 | 0x5a00000 | | 279 | blk.30.ffn_gate.weight | 0x290c9e080 | 0x5a00000 | | 280 | blk.30.ffn_norm.weight | 0x29669e080 | 0x5000 | | 281 | blk.30.ffn_up.weight | 0x2966a3080 | 0x5a00000 | | 282 | blk.31.attn_k.weight | 0x29c0a3080 | 0x2d0000 | | 283 | blk.31.attn_norm.weight | 0x29c373080 | 0x5000 | | 284 | blk.31.attn_output.weight | 0x29c378080 | 0xb40000 | | 285 | blk.31.attn_q.weight | 0x29ceb8080 | 0xb40000 | | 286 | blk.31.attn_v.weight | 0x29d9f8080 | 0x41a000 | | 287 | blk.31.ffn_down.weight | 0x29de12080 | 0x8340000 | | 288 | blk.31.ffn_gate.weight | 0x2a6152080 | 0x5a00000 | | 289 | blk.31.ffn_norm.weight | 0x2abb52080 | 0x5000 | | 290 | blk.31.ffn_up.weight | 0x2abb57080 | 0x5a00000 | | 291 | blk.32.attn_k.weight | 0x2b1557080 | 0x2d0000 | | 292 | blk.32.attn_norm.weight | 0x2b1827080 | 0x5000 | | 293 | blk.32.attn_output.weight | 0x2b182c080 | 0xb40000 | | 294 | blk.32.attn_q.weight | 0x2b236c080 | 0xb40000 | | 295 | blk.32.attn_v.weight | 0x2b2eac080 | 0x2d0000 | | 296 | blk.32.ffn_down.weight | 0x2b317c080 | 0x5a00000 | | 297 | blk.32.ffn_gate.weight | 0x2b8b7c080 | 0x5a00000 | | 298 | blk.32.ffn_norm.weight | 0x2be57c080 | 0x5000 | | 299 | blk.32.ffn_up.weight | 0x2be581080 | 0x5a00000 | | 300 | blk.33.attn_k.weight | 0x2c3f81080 | 0x2d0000 | | 301 | blk.33.attn_norm.weight | 0x2c4251080 | 0x5000 | | 302 | blk.33.attn_output.weight | 0x2c4256080 | 0xb40000 | | 303 | blk.33.attn_q.weight | 0x2c4d96080 | 0xb40000 | | 304 | blk.33.attn_v.weight | 0x2c58d6080 | 0x2d0000 | | 305 | blk.33.ffn_down.weight | 0x2c5ba6080 | 0x5a00000 | | 306 | blk.33.ffn_gate.weight | 0x2cb5a6080 | 0x5a00000 | | 307 | blk.33.ffn_norm.weight | 0x2d0fa6080 | 0x5000 | | 308 | blk.33.ffn_up.weight | 0x2d0fab080 | 0x5a00000 | | 309 | blk.34.attn_k.weight | 0x2d69ab080 | 0x2d0000 | | 310 | blk.34.attn_norm.weight | 0x2d6c7b080 | 0x5000 | | 311 | blk.34.attn_output.weight | 0x2d6c80080 | 0xb40000 | | 312 | blk.34.attn_q.weight | 0x2d77c0080 | 0xb40000 | | 313 | blk.34.attn_v.weight | 0x2d8300080 | 0x41a000 | | 314 | blk.34.ffn_down.weight | 0x2d871a080 | 0x8340000 | | 315 | blk.34.ffn_gate.weight | 0x2e0a5a080 | 0x5a00000 | | 316 | blk.34.ffn_norm.weight | 0x2e645a080 | 0x5000 | | 317 | blk.34.ffn_up.weight | 0x2e645f080 | 0x5a00000 | | 318 | blk.35.attn_k.weight | 0x2ebe5f080 | 0x2d0000 | | 319 | blk.35.attn_norm.weight | 0x2ec12f080 | 0x5000 | | 320 | blk.35.attn_output.weight | 0x2ec134080 | 0xb40000 | | 321 | blk.35.attn_q.weight | 0x2ecc74080 | 0xb40000 | | 322 | blk.35.attn_v.weight | 0x2ed7b4080 | 0x41a000 | | 323 | blk.35.ffn_down.weight | 0x2edbce080 | 0x8340000 | | 324 | blk.35.ffn_gate.weight | 0x2f5f0e080 | 0x5a00000 | | 325 | blk.35.ffn_norm.weight | 0x2fb90e080 | 0x5000 | | 326 | blk.35.ffn_up.weight | 0x2fb913080 | 0x5a00000 | | 327 | blk.36.attn_k.weight | 0x301313080 | 0x2d0000 | | 328 | blk.36.attn_norm.weight | 0x3015e3080 | 0x5000 | | 329 | blk.36.attn_output.weight | 0x3015e8080 | 0xb40000 | | 330 | blk.36.attn_q.weight | 0x302128080 | 0xb40000 | | 331 | blk.36.attn_v.weight | 0x302c68080 | 0x41a000 | | 332 | blk.36.ffn_down.weight | 0x303082080 | 0x8340000 | | 333 | blk.36.ffn_gate.weight | 0x30b3c2080 | 0x5a00000 | | 334 | blk.36.ffn_norm.weight | 0x310dc2080 | 0x5000 | | 335 | blk.36.ffn_up.weight | 0x310dc7080 | 0x5a00000 | | 336 | blk.37.attn_k.weight | 0x3167c7080 | 0x2d0000 | | 337 | blk.37.attn_norm.weight | 0x316a97080 | 0x5000 | | 338 | blk.37.attn_output.weight | 0x316a9c080 | 0xb40000 | | 339 | blk.37.attn_q.weight | 0x3175dc080 | 0xb40000 | | 340 | blk.37.attn_v.weight | 0x31811c080 | 0x41a000 | | 341 | blk.37.ffn_down.weight | 0x318536080 | 0x8340000 | | 342 | blk.37.ffn_gate.weight | 0x320876080 | 0x5a00000 | | 343 | blk.37.ffn_norm.weight | 0x326276080 | 0x5000 | | 344 | blk.37.ffn_up.weight | 0x32627b080 | 0x5a00000 | | 345 | blk.38.attn_k.weight | 0x32bc7b080 | 0x2d0000 | | 346 | blk.38.attn_norm.weight | 0x32bf4b080 | 0x5000 | | 347 | blk.38.attn_output.weight | 0x32bf50080 | 0xb40000 | | 348 | blk.38.attn_q.weight | 0x32ca90080 | 0xb40000 | | 349 | blk.38.attn_v.weight | 0x32d5d0080 | 0x41a000 | | 350 | blk.38.ffn_down.weight | 0x32d9ea080 | 0x8340000 | | 351 | blk.38.ffn_gate.weight | 0x335d2a080 | 0x5a00000 | | 352 | blk.38.ffn_norm.weight | 0x33b72a080 | 0x5000 | | 353 | blk.38.ffn_up.weight | 0x33b72f080 | 0x5a00000 | | 354 | blk.39.attn_k.weight | 0x34112f080 | 0x2d0000 | | 355 | blk.39.attn_norm.weight | 0x3413ff080 | 0x5000 | | 356 | blk.39.attn_output.weight | 0x341404080 | 0xb40000 | | 357 | blk.39.attn_q.weight | 0x341f44080 | 0xb40000 | | 358 | blk.39.attn_v.weight | 0x342a84080 | 0x41a000 | | 359 | blk.39.ffn_down.weight | 0x342e9e080 | 0x8340000 | | 360 | blk.39.ffn_gate.weight | 0x34b1de080 | 0x5a00000 | | 361 | blk.39.ffn_norm.weight | 0x350bde080 | 0x5000 | | 362 | blk.39.ffn_up.weight | 0x350be3080 | 0x5a00000 | ### Base Tensor Group : ~1B Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------|:---------------------------------|:------------------|:----------------------|:-----|--------:| | 0 | output.weight | Output (W) | (~671M) 671088640 | 5120 x 131072 x 1 x 1 | Q6_K | 6.5625 | | 1 | output_norm.weight | Output Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 2 | token_embd.weight | Token Embedding (W) | (~671M) 671088640 | 5120 x 131072 x 1 x 1 | Q4_K | 4.5000 | - Total elements in base: ( ~1B) 1342182400 - Percentage of total elements: 5.69% - Bits per Weight (BPW) for base: 5.5314 bits ### Block 0 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 3 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 4 | blk.0.attn_norm.weight | Block 0 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 5 | blk.0.attn_output.weight | Block 0 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 7 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 8 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 9 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 10 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 11 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.0: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.0: 5.1426 bits ### Block 1 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 12 | blk.1.attn_k.weight | Block 1 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 13 | blk.1.attn_norm.weight | Block 1 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 14 | blk.1.attn_output.weight | Block 1 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 15 | blk.1.attn_q.weight | Block 1 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 16 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 17 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 18 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 19 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 20 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.1: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.1: 5.1426 bits ### Block 2 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 21 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 22 | blk.2.attn_norm.weight | Block 2 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 23 | blk.2.attn_output.weight | Block 2 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 24 | blk.2.attn_q.weight | Block 2 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 25 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 26 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 27 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 28 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 29 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.2: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.2: 5.1426 bits ### Block 3 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 30 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 31 | blk.3.attn_norm.weight | Block 3 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 32 | blk.3.attn_output.weight | Block 3 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 33 | blk.3.attn_q.weight | Block 3 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 34 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 35 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 36 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 37 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 38 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.3: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.3: 5.1426 bits ### Block 4 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 39 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 40 | blk.4.attn_norm.weight | Block 4 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 41 | blk.4.attn_output.weight | Block 4 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 42 | blk.4.attn_q.weight | Block 4 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 43 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 44 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 45 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 46 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 47 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.4: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.4: 5.1426 bits ### Block 5 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 48 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 49 | blk.5.attn_norm.weight | Block 5 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 50 | blk.5.attn_output.weight | Block 5 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 51 | blk.5.attn_q.weight | Block 5 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 52 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 53 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 54 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 55 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 56 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.5: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.5: 4.5005 bits ### Block 6 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 57 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 58 | blk.6.attn_norm.weight | Block 6 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 59 | blk.6.attn_output.weight | Block 6 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 60 | blk.6.attn_q.weight | Block 6 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 61 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 62 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 63 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 64 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 65 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.6: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.6: 4.5005 bits ### Block 7 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 66 | blk.7.attn_k.weight | Block 7 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 67 | blk.7.attn_norm.weight | Block 7 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 68 | blk.7.attn_output.weight | Block 7 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 69 | blk.7.attn_q.weight | Block 7 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 70 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 71 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 72 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 73 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 74 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.7: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.7: 5.1426 bits ### Block 8 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 75 | blk.8.attn_k.weight | Block 8 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 76 | blk.8.attn_norm.weight | Block 8 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 77 | blk.8.attn_output.weight | Block 8 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 78 | blk.8.attn_q.weight | Block 8 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 79 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 80 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 81 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 82 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 83 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.8: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.8: 4.5005 bits ### Block 9 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:-------------------------|:-----------------------------------------------|:------------------|:----------------------|:-----|--------:| | 84 | blk.9.attn_k.weight | Block 9 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 85 | blk.9.attn_norm.weight | Block 9 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 86 | blk.9.attn_output.weight | Block 9 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 87 | blk.9.attn_q.weight | Block 9 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 88 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 89 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 90 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 91 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 92 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.9: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.9: 4.5005 bits ### Block 10 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 93 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 94 | blk.10.attn_norm.weight | Block 10 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 95 | blk.10.attn_output.weight | Block 10 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 96 | blk.10.attn_q.weight | Block 10 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 97 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 98 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 99 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 100 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 101 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.10: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.10: 5.1426 bits ### Block 11 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 102 | blk.11.attn_k.weight | Block 11 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 103 | blk.11.attn_norm.weight | Block 11 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 104 | blk.11.attn_output.weight | Block 11 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 105 | blk.11.attn_q.weight | Block 11 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 106 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 107 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 108 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 109 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 110 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.11: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.11: 4.5005 bits ### Block 12 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 111 | blk.12.attn_k.weight | Block 12 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 112 | blk.12.attn_norm.weight | Block 12 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 113 | blk.12.attn_output.weight | Block 12 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 114 | blk.12.attn_q.weight | Block 12 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 115 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 116 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 117 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 118 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 119 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.12: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.12: 4.5005 bits ### Block 13 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 120 | blk.13.attn_k.weight | Block 13 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 121 | blk.13.attn_norm.weight | Block 13 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 122 | blk.13.attn_output.weight | Block 13 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 123 | blk.13.attn_q.weight | Block 13 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 124 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 125 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 126 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 127 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 128 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.13: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.13: 5.1426 bits ### Block 14 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 129 | blk.14.attn_k.weight | Block 14 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 130 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 131 | blk.14.attn_output.weight | Block 14 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 132 | blk.14.attn_q.weight | Block 14 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 133 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 134 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 135 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 136 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 137 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.14: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.14: 4.5005 bits ### Block 15 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 138 | blk.15.attn_k.weight | Block 15 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 139 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 140 | blk.15.attn_output.weight | Block 15 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 141 | blk.15.attn_q.weight | Block 15 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 142 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 143 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 144 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 145 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 146 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.15: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.15: 4.5005 bits ### Block 16 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 147 | blk.16.attn_k.weight | Block 16 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 148 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 149 | blk.16.attn_output.weight | Block 16 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 150 | blk.16.attn_q.weight | Block 16 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 151 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 152 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 153 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 154 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 155 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.16: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.16: 5.1426 bits ### Block 17 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 156 | blk.17.attn_k.weight | Block 17 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 157 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 158 | blk.17.attn_output.weight | Block 17 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 159 | blk.17.attn_q.weight | Block 17 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 160 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 161 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 162 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 163 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 164 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.17: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.17: 4.5005 bits ### Block 18 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 165 | blk.18.attn_k.weight | Block 18 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 166 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 167 | blk.18.attn_output.weight | Block 18 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 168 | blk.18.attn_q.weight | Block 18 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 169 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 170 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 171 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 172 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 173 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.18: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.18: 4.5005 bits ### Block 19 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 174 | blk.19.attn_k.weight | Block 19 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 175 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 176 | blk.19.attn_output.weight | Block 19 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 177 | blk.19.attn_q.weight | Block 19 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 178 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 179 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 180 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 181 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 182 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.19: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.19: 5.1426 bits ### Block 20 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 183 | blk.20.attn_k.weight | Block 20 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 184 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 185 | blk.20.attn_output.weight | Block 20 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 186 | blk.20.attn_q.weight | Block 20 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 187 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 188 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 189 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 190 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 191 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.20: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.20: 4.5005 bits ### Block 21 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 192 | blk.21.attn_k.weight | Block 21 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 193 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 194 | blk.21.attn_output.weight | Block 21 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 195 | blk.21.attn_q.weight | Block 21 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 196 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 197 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 198 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 199 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 200 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.21: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.21: 4.5005 bits ### Block 22 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 201 | blk.22.attn_k.weight | Block 22 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 202 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 203 | blk.22.attn_output.weight | Block 22 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 204 | blk.22.attn_q.weight | Block 22 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 205 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 206 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 207 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 208 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 209 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.22: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.22: 5.1426 bits ### Block 23 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 210 | blk.23.attn_k.weight | Block 23 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 211 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 212 | blk.23.attn_output.weight | Block 23 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 213 | blk.23.attn_q.weight | Block 23 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 214 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 215 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 216 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 217 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 218 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.23: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.23: 4.5005 bits ### Block 24 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 219 | blk.24.attn_k.weight | Block 24 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 220 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 221 | blk.24.attn_output.weight | Block 24 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 222 | blk.24.attn_q.weight | Block 24 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 223 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 224 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 225 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 226 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 227 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.24: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.24: 4.5005 bits ### Block 25 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 228 | blk.25.attn_k.weight | Block 25 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 229 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 230 | blk.25.attn_output.weight | Block 25 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 231 | blk.25.attn_q.weight | Block 25 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 232 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 233 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 234 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 235 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 236 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.25: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.25: 5.1426 bits ### Block 26 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 237 | blk.26.attn_k.weight | Block 26 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 238 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 239 | blk.26.attn_output.weight | Block 26 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 240 | blk.26.attn_q.weight | Block 26 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 241 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 242 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 243 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 244 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 245 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.26: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.26: 4.5005 bits ### Block 27 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 246 | blk.27.attn_k.weight | Block 27 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 247 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 248 | blk.27.attn_output.weight | Block 27 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 249 | blk.27.attn_q.weight | Block 27 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 250 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 251 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 252 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 253 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 254 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.27: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.27: 4.5005 bits ### Block 28 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 255 | blk.28.attn_k.weight | Block 28 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 256 | blk.28.attn_norm.weight | Block 28 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 257 | blk.28.attn_output.weight | Block 28 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 258 | blk.28.attn_q.weight | Block 28 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 259 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 260 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 261 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 262 | blk.28.ffn_norm.weight | Block 28 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 263 | blk.28.ffn_up.weight | Block 28 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.28: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.28: 5.1426 bits ### Block 29 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 264 | blk.29.attn_k.weight | Block 29 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 265 | blk.29.attn_norm.weight | Block 29 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 266 | blk.29.attn_output.weight | Block 29 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 267 | blk.29.attn_q.weight | Block 29 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 268 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 269 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 270 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 271 | blk.29.ffn_norm.weight | Block 29 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 272 | blk.29.ffn_up.weight | Block 29 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.29: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.29: 4.5005 bits ### Block 30 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 273 | blk.30.attn_k.weight | Block 30 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 274 | blk.30.attn_norm.weight | Block 30 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 275 | blk.30.attn_output.weight | Block 30 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 276 | blk.30.attn_q.weight | Block 30 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 277 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 278 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 279 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 280 | blk.30.ffn_norm.weight | Block 30 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 281 | blk.30.ffn_up.weight | Block 30 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.30: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.30: 4.5005 bits ### Block 31 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 282 | blk.31.attn_k.weight | Block 31 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 283 | blk.31.attn_norm.weight | Block 31 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 284 | blk.31.attn_output.weight | Block 31 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 285 | blk.31.attn_q.weight | Block 31 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 286 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 287 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 288 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 289 | blk.31.ffn_norm.weight | Block 31 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 290 | blk.31.ffn_up.weight | Block 31 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.31: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.31: 5.1426 bits ### Block 32 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 291 | blk.32.attn_k.weight | Block 32 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 292 | blk.32.attn_norm.weight | Block 32 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 293 | blk.32.attn_output.weight | Block 32 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 294 | blk.32.attn_q.weight | Block 32 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 295 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 296 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 297 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 298 | blk.32.ffn_norm.weight | Block 32 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 299 | blk.32.ffn_up.weight | Block 32 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.32: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.32: 4.5005 bits ### Block 33 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 300 | blk.33.attn_k.weight | Block 33 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 301 | blk.33.attn_norm.weight | Block 33 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 302 | blk.33.attn_output.weight | Block 33 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 303 | blk.33.attn_q.weight | Block 33 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 304 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 305 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 306 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 307 | blk.33.ffn_norm.weight | Block 33 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 308 | blk.33.ffn_up.weight | Block 33 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.33: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.33: 4.5005 bits ### Block 34 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 309 | blk.34.attn_k.weight | Block 34 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 310 | blk.34.attn_norm.weight | Block 34 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 311 | blk.34.attn_output.weight | Block 34 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 312 | blk.34.attn_q.weight | Block 34 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 313 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 314 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 315 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 316 | blk.34.ffn_norm.weight | Block 34 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 317 | blk.34.ffn_up.weight | Block 34 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.34: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.34: 5.1426 bits ### Block 35 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 318 | blk.35.attn_k.weight | Block 35 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 319 | blk.35.attn_norm.weight | Block 35 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 320 | blk.35.attn_output.weight | Block 35 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 321 | blk.35.attn_q.weight | Block 35 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 322 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 323 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 324 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 325 | blk.35.ffn_norm.weight | Block 35 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 326 | blk.35.ffn_up.weight | Block 35 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.35: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.35: 5.1426 bits ### Block 36 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 327 | blk.36.attn_k.weight | Block 36 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 328 | blk.36.attn_norm.weight | Block 36 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 329 | blk.36.attn_output.weight | Block 36 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 330 | blk.36.attn_q.weight | Block 36 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 331 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 332 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 333 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 334 | blk.36.ffn_norm.weight | Block 36 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 335 | blk.36.ffn_up.weight | Block 36 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.36: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.36: 5.1426 bits ### Block 37 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 336 | blk.37.attn_k.weight | Block 37 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 337 | blk.37.attn_norm.weight | Block 37 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 338 | blk.37.attn_output.weight | Block 37 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 339 | blk.37.attn_q.weight | Block 37 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 340 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 341 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 342 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 343 | blk.37.ffn_norm.weight | Block 37 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 344 | blk.37.ffn_up.weight | Block 37 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.37: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.37: 5.1426 bits ### Block 38 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 345 | blk.38.attn_k.weight | Block 38 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 346 | blk.38.attn_norm.weight | Block 38 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 347 | blk.38.attn_output.weight | Block 38 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 348 | blk.38.attn_q.weight | Block 38 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 349 | blk.38.attn_v.weight | Block 38 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 350 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 351 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 352 | blk.38.ffn_norm.weight | Block 38 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 353 | blk.38.ffn_up.weight | Block 38 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.38: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.38: 5.1426 bits ### Block 39 Tensor Group : ~556M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW | |-----:|:--------------------------|:------------------------------------------------|:------------------|:----------------------|:-----|--------:| | 354 | blk.39.attn_k.weight | Block 39 Attention Key (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q4_K | 4.5000 | | 355 | blk.39.attn_norm.weight | Block 39 Attention Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 356 | blk.39.attn_output.weight | Block 39 Attention Output (W) | ( ~21M) 20971520 | 4096 x 5120 x 1 x 1 | Q4_K | 4.5000 | | 357 | blk.39.attn_q.weight | Block 39 Attention Query (W) | ( ~21M) 20971520 | 5120 x 4096 x 1 x 1 | Q4_K | 4.5000 | | 358 | blk.39.attn_v.weight | Block 39 Attention Value (W) | ( ~5M) 5242880 | 5120 x 1024 x 1 x 1 | Q6_K | 6.5625 | | 359 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~168M) 167772160 | 32768 x 5120 x 1 x 1 | Q6_K | 6.5625 | | 360 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | | 361 | blk.39.ffn_norm.weight | Block 39 Feed-Forward Network Normalization (W) | ( ~5K) 5120 | 5120 x 1 x 1 x 1 | F32 | 32.0000 | | 362 | blk.39.ffn_up.weight | Block 39 Feed-Forward Network "Up" (W) | (~168M) 167772160 | 5120 x 32768 x 1 x 1 | Q4_K | 4.5000 | - Total elements in blk.39: (~556M) 555755520 - Percentage of total elements: 2.36% - Bits per Weight (BPW) for blk.39: 5.1426 bits Total BPW for Mistral-Small-3.2-24B-Instruct-2506-Q4_K_M-bartowski.gguf: 4.8620 bits