# Watt-Tool-8B-Q4_K_M.gguf - GGUF Internal File Dump - Endian: LITTLE endian ## Key Value Metadata Store There are 43 key-value pairs in this file | POS | TYPE | Count | Key | Value | |----:|:---------|-------:|:---------------------------------------|:--------------------------------------------------------------------| | 1 | UINT32 | 1 | GGUF.version | 3 | | 2 | UINT64 | 1 | GGUF.tensor_count | 292 | | 3 | UINT64 | 1 | GGUF.kv_count | 40 | | 4 | STRING | 1 | general.architecture | `llama` | | 5 | STRING | 1 | general.type | `model` | | 6 | STRING | 1 | general.name | `Watt Tool 8B GGUF` | | 7 | STRING | 1 | general.finetune | `GGUF` | | 8 | STRING | 1 | general.basename | `Watt-Tool` | | 9 | STRING | 1 | general.size_label | `8B` | | 10 | STRING | 1 | general.license | `apache-2.0` | | 11 | UINT32 | 1 | general.base_model.count | 1 | | 12 | STRING | 1 | general.base_model.0.name | `Llama 3.1 8B Instruct` | | 13 | STRING | 1 | general.base_model.0.organization | `Meta Llama` | | 14 | STRING | 1 | general.base_model.0.repo_url | `https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct` | | 15 | [STRING] | 4 | general.tags | [ `function-calling`, `tool-use`, `llama`, `bfcl` ] | | 16 | [STRING] | 1 | general.languages | [ `en` ] | | 17 | UINT32 | 1 | llama.block_count | 32 | | 18 | UINT32 | 1 | llama.context_length | 131072 | | 19 | UINT32 | 1 | llama.embedding_length | 4096 | | 20 | UINT32 | 1 | llama.feed_forward_length | 14336 | | 21 | UINT32 | 1 | llama.attention.head_count | 32 | | 22 | UINT32 | 1 | llama.attention.head_count_kv | 8 | | 23 | FLOAT32 | 1 | llama.rope.freq_base | 500000.0 | | 24 | FLOAT32 | 1 | llama.attention.layer_norm_rms_epsilon | 1e-05 | | 25 | UINT32 | 1 | llama.attention.key_length | 128 | | 26 | UINT32 | 1 | llama.attention.value_length | 128 | | 27 | UINT32 | 1 | llama.vocab_size | 128256 | | 28 | UINT32 | 1 | llama.rope.dimension_count | 128 | | 29 | STRING | 1 | tokenizer.ggml.model | `gpt2` | | 30 | STRING | 1 | tokenizer.ggml.pre | `llama-bpe` | | 31 | [STRING] | 128256 | tokenizer.ggml.tokens | [ `!`, `"`, `#`, `$`, `%`, ... ] | | 32 | [INT32] | 128256 | tokenizer.ggml.token_type | [ 1, 1, 1, 1, 1, 1, 1, ... ] | | 33 | [STRING] | 280147 | tokenizer.ggml.merges | [ `Ġ Ġ`, `Ġ ĠĠĠ`, `ĠĠ ĠĠ`, `ĠĠĠ Ġ`, `i n`, ... ] | | 34 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 128000 | | 35 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 128009 | | 36 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 128009 | | 37 | STRING | 1 | tokenizer.chat_template | `{{ '<|begin_of_text|>' }}{% if`...`d|>' }}{% endif %}{% endfor %}` | | 38 | UINT32 | 1 | general.quantization_version | 2 | | 39 | UINT32 | 1 | general.file_type | 15 | | 40 | STRING | 1 | quantize.imatrix.file | `./imatrix/imatrix-Watt-Tool-8B-small.dat` | | 41 | STRING | 1 | quantize.imatrix.dataset | `../../datasets/imatrix/calibration_eur_small.txt` | | 42 | INT32 | 1 | quantize.imatrix.entries_count | 225 | | 43 | INT32 | 1 | quantize.imatrix.chunks_count | 962 | ## Tensors Overview ~8B Elements Total number of elements in all tensors: 8030261312 Elements - [Watt-Tool-8B-Q4\_K\_M.gguf - GGUF Internal File Dump](#watt-tool-8b-q4_k_mgguf---gguf-internal-file-dump) - [Key Value Metadata Store](#key-value-metadata-store) - [Tensors Overview ~8B Elements](#tensors-overview-8b-elements) - [Tensor Data Offset](#tensor-data-offset) - [Base Tensor Group : ~1B Elements](#base-tensor-group--1b-elements) - [Block 0 Tensor Group : ~218M Elements](#block-0-tensor-group--218m-elements) - [Block 1 Tensor Group : ~218M Elements](#block-1-tensor-group--218m-elements) - [Block 2 Tensor Group : ~218M Elements](#block-2-tensor-group--218m-elements) - [Block 3 Tensor Group : ~218M Elements](#block-3-tensor-group--218m-elements) - [Block 4 Tensor Group : ~218M Elements](#block-4-tensor-group--218m-elements) - [Block 5 Tensor Group : ~218M Elements](#block-5-tensor-group--218m-elements) - [Block 6 Tensor Group : ~218M Elements](#block-6-tensor-group--218m-elements) - [Block 7 Tensor Group : ~218M Elements](#block-7-tensor-group--218m-elements) - [Block 8 Tensor Group : ~218M Elements](#block-8-tensor-group--218m-elements) - [Block 9 Tensor Group : ~218M Elements](#block-9-tensor-group--218m-elements) - [Block 10 Tensor Group : ~218M Elements](#block-10-tensor-group--218m-elements) - [Block 11 Tensor Group : ~218M Elements](#block-11-tensor-group--218m-elements) - [Block 12 Tensor Group : ~218M Elements](#block-12-tensor-group--218m-elements) - [Block 13 Tensor Group : ~218M Elements](#block-13-tensor-group--218m-elements) - [Block 14 Tensor Group : ~218M Elements](#block-14-tensor-group--218m-elements) - [Block 15 Tensor Group : ~218M Elements](#block-15-tensor-group--218m-elements) - [Block 16 Tensor Group : ~218M Elements](#block-16-tensor-group--218m-elements) - [Block 17 Tensor Group : ~218M Elements](#block-17-tensor-group--218m-elements) - [Block 18 Tensor Group : ~218M Elements](#block-18-tensor-group--218m-elements) - [Block 19 Tensor Group : ~218M Elements](#block-19-tensor-group--218m-elements) - [Block 20 Tensor Group : ~218M Elements](#block-20-tensor-group--218m-elements) - [Block 21 Tensor Group : ~218M Elements](#block-21-tensor-group--218m-elements) - [Block 22 Tensor Group : ~218M Elements](#block-22-tensor-group--218m-elements) - [Block 23 Tensor Group : ~218M Elements](#block-23-tensor-group--218m-elements) - [Block 24 Tensor Group : ~218M Elements](#block-24-tensor-group--218m-elements) - [Block 25 Tensor Group : ~218M Elements](#block-25-tensor-group--218m-elements) - [Block 26 Tensor Group : ~218M Elements](#block-26-tensor-group--218m-elements) - [Block 27 Tensor Group : ~218M Elements](#block-27-tensor-group--218m-elements) - [Block 28 Tensor Group : ~218M Elements](#block-28-tensor-group--218m-elements) - [Block 29 Tensor Group : ~218M Elements](#block-29-tensor-group--218m-elements) - [Block 30 Tensor Group : ~218M Elements](#block-30-tensor-group--218m-elements) - [Block 31 Tensor Group : ~218M Elements](#block-31-tensor-group--218m-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 | 0x779620 | 0x119d0000 | | 1 | output_norm.weight | 0x12149620 | 0x4000 | | 2 | rope_freqs.weight | 0x1214d620 | 0x100 | | 3 | token_embd.weight | 0x1214d720 | 0xd746000 | | 4 | blk.0.attn_k.weight | 0x1f893720 | 0x1b8000 | | 5 | blk.0.attn_norm.weight | 0x1fa4b720 | 0x4000 | | 6 | blk.0.attn_output.weight | 0x1fa4f720 | 0x900000 | | 7 | blk.0.attn_q.weight | 0x2034f720 | 0x6e0000 | | 8 | blk.0.attn_v.weight | 0x20a2f720 | 0x240000 | | 9 | blk.0.ffn_down.weight | 0x20c6f720 | 0x2680000 | | 10 | blk.0.ffn_gate.weight | 0x232ef720 | 0x1810000 | | 11 | blk.0.ffn_norm.weight | 0x24aff720 | 0x4000 | | 12 | blk.0.ffn_up.weight | 0x24b03720 | 0x1810000 | | 13 | blk.1.attn_k.weight | 0x26313720 | 0x1b8000 | | 14 | blk.1.attn_norm.weight | 0x264cb720 | 0x4000 | | 15 | blk.1.attn_output.weight | 0x264cf720 | 0x900000 | | 16 | blk.1.attn_q.weight | 0x26dcf720 | 0x6e0000 | | 17 | blk.1.attn_v.weight | 0x274af720 | 0x240000 | | 18 | blk.1.ffn_down.weight | 0x276ef720 | 0x2680000 | | 19 | blk.1.ffn_gate.weight | 0x29d6f720 | 0x1810000 | | 20 | blk.1.ffn_norm.weight | 0x2b57f720 | 0x4000 | | 21 | blk.1.ffn_up.weight | 0x2b583720 | 0x1810000 | | 22 | blk.2.attn_k.weight | 0x2cd93720 | 0x1b8000 | | 23 | blk.2.attn_norm.weight | 0x2cf4b720 | 0x4000 | | 24 | blk.2.attn_output.weight | 0x2cf4f720 | 0x900000 | | 25 | blk.2.attn_q.weight | 0x2d84f720 | 0x6e0000 | | 26 | blk.2.attn_v.weight | 0x2df2f720 | 0x240000 | | 27 | blk.2.ffn_down.weight | 0x2e16f720 | 0x2680000 | | 28 | blk.2.ffn_gate.weight | 0x307ef720 | 0x1810000 | | 29 | blk.2.ffn_norm.weight | 0x31fff720 | 0x4000 | | 30 | blk.2.ffn_up.weight | 0x32003720 | 0x1810000 | | 31 | blk.3.attn_k.weight | 0x33813720 | 0x1b8000 | | 32 | blk.3.attn_norm.weight | 0x339cb720 | 0x4000 | | 33 | blk.3.attn_output.weight | 0x339cf720 | 0x900000 | | 34 | blk.3.attn_q.weight | 0x342cf720 | 0x6e0000 | | 35 | blk.3.attn_v.weight | 0x349af720 | 0x240000 | | 36 | blk.3.ffn_down.weight | 0x34bef720 | 0x2680000 | | 37 | blk.3.ffn_gate.weight | 0x3726f720 | 0x1810000 | | 38 | blk.3.ffn_norm.weight | 0x38a7f720 | 0x4000 | | 39 | blk.3.ffn_up.weight | 0x38a83720 | 0x1810000 | | 40 | blk.4.attn_k.weight | 0x3a293720 | 0x1b8000 | | 41 | blk.4.attn_norm.weight | 0x3a44b720 | 0x4000 | | 42 | blk.4.attn_output.weight | 0x3a44f720 | 0x900000 | | 43 | blk.4.attn_q.weight | 0x3ad4f720 | 0x6e0000 | | 44 | blk.4.attn_v.weight | 0x3b42f720 | 0x240000 | | 45 | blk.4.ffn_down.weight | 0x3b66f720 | 0x2680000 | | 46 | blk.4.ffn_gate.weight | 0x3dcef720 | 0x1810000 | | 47 | blk.4.ffn_norm.weight | 0x3f4ff720 | 0x4000 | | 48 | blk.4.ffn_up.weight | 0x3f503720 | 0x1810000 | | 49 | blk.5.attn_k.weight | 0x40d13720 | 0x1b8000 | | 50 | blk.5.attn_norm.weight | 0x40ecb720 | 0x4000 | | 51 | blk.5.attn_output.weight | 0x40ecf720 | 0x900000 | | 52 | blk.5.attn_q.weight | 0x417cf720 | 0x6e0000 | | 53 | blk.5.attn_v.weight | 0x41eaf720 | 0x240000 | | 54 | blk.5.ffn_down.weight | 0x420ef720 | 0x2680000 | | 55 | blk.5.ffn_gate.weight | 0x4476f720 | 0x1810000 | | 56 | blk.5.ffn_norm.weight | 0x45f7f720 | 0x4000 | | 57 | blk.5.ffn_up.weight | 0x45f83720 | 0x1810000 | | 58 | blk.6.attn_k.weight | 0x47793720 | 0x1b8000 | | 59 | blk.6.attn_norm.weight | 0x4794b720 | 0x4000 | | 60 | blk.6.attn_output.weight | 0x4794f720 | 0x900000 | | 61 | blk.6.attn_q.weight | 0x4824f720 | 0x6e0000 | | 62 | blk.6.attn_v.weight | 0x4892f720 | 0x240000 | | 63 | blk.6.ffn_down.weight | 0x48b6f720 | 0x2680000 | | 64 | blk.6.ffn_gate.weight | 0x4b1ef720 | 0x1810000 | | 65 | blk.6.ffn_norm.weight | 0x4c9ff720 | 0x4000 | | 66 | blk.6.ffn_up.weight | 0x4ca03720 | 0x1810000 | | 67 | blk.7.attn_k.weight | 0x4e213720 | 0x1b8000 | | 68 | blk.7.attn_norm.weight | 0x4e3cb720 | 0x4000 | | 69 | blk.7.attn_output.weight | 0x4e3cf720 | 0x900000 | | 70 | blk.7.attn_q.weight | 0x4eccf720 | 0x6e0000 | | 71 | blk.7.attn_v.weight | 0x4f3af720 | 0x240000 | | 72 | blk.7.ffn_down.weight | 0x4f5ef720 | 0x2680000 | | 73 | blk.7.ffn_gate.weight | 0x51c6f720 | 0x1810000 | | 74 | blk.7.ffn_norm.weight | 0x5347f720 | 0x4000 | | 75 | blk.7.ffn_up.weight | 0x53483720 | 0x1810000 | | 76 | blk.8.attn_k.weight | 0x54c93720 | 0x1b8000 | | 77 | blk.8.attn_norm.weight | 0x54e4b720 | 0x4000 | | 78 | blk.8.attn_output.weight | 0x54e4f720 | 0x900000 | | 79 | blk.8.attn_q.weight | 0x5574f720 | 0x6e0000 | | 80 | blk.8.attn_v.weight | 0x55e2f720 | 0x240000 | | 81 | blk.8.ffn_down.weight | 0x5606f720 | 0x2680000 | | 82 | blk.8.ffn_gate.weight | 0x586ef720 | 0x1810000 | | 83 | blk.8.ffn_norm.weight | 0x59eff720 | 0x4000 | | 84 | blk.8.ffn_up.weight | 0x59f03720 | 0x1810000 | | 85 | blk.9.attn_k.weight | 0x5b713720 | 0x1b8000 | | 86 | blk.9.attn_norm.weight | 0x5b8cb720 | 0x4000 | | 87 | blk.9.attn_output.weight | 0x5b8cf720 | 0x900000 | | 88 | blk.9.attn_q.weight | 0x5c1cf720 | 0x6e0000 | | 89 | blk.9.attn_v.weight | 0x5c8af720 | 0x240000 | | 90 | blk.9.ffn_down.weight | 0x5caef720 | 0x2680000 | | 91 | blk.9.ffn_gate.weight | 0x5f16f720 | 0x1810000 | | 92 | blk.9.ffn_norm.weight | 0x6097f720 | 0x4000 | | 93 | blk.9.ffn_up.weight | 0x60983720 | 0x1810000 | | 94 | blk.10.attn_k.weight | 0x62193720 | 0x1b8000 | | 95 | blk.10.attn_norm.weight | 0x6234b720 | 0x4000 | | 96 | blk.10.attn_output.weight | 0x6234f720 | 0x900000 | | 97 | blk.10.attn_q.weight | 0x62c4f720 | 0x6e0000 | | 98 | blk.10.attn_v.weight | 0x6332f720 | 0x240000 | | 99 | blk.10.ffn_down.weight | 0x6356f720 | 0x2680000 | | 100 | blk.10.ffn_gate.weight | 0x65bef720 | 0x1810000 | | 101 | blk.10.ffn_norm.weight | 0x673ff720 | 0x4000 | | 102 | blk.10.ffn_up.weight | 0x67403720 | 0x1810000 | | 103 | blk.11.attn_k.weight | 0x68c13720 | 0x1b8000 | | 104 | blk.11.attn_norm.weight | 0x68dcb720 | 0x4000 | | 105 | blk.11.attn_output.weight | 0x68dcf720 | 0x900000 | | 106 | blk.11.attn_q.weight | 0x696cf720 | 0x6e0000 | | 107 | blk.11.attn_v.weight | 0x69daf720 | 0x240000 | | 108 | blk.11.ffn_down.weight | 0x69fef720 | 0x2680000 | | 109 | blk.11.ffn_gate.weight | 0x6c66f720 | 0x1810000 | | 110 | blk.11.ffn_norm.weight | 0x6de7f720 | 0x4000 | | 111 | blk.11.ffn_up.weight | 0x6de83720 | 0x1810000 | | 112 | blk.12.attn_k.weight | 0x6f693720 | 0x1b8000 | | 113 | blk.12.attn_norm.weight | 0x6f84b720 | 0x4000 | | 114 | blk.12.attn_output.weight | 0x6f84f720 | 0x900000 | | 115 | blk.12.attn_q.weight | 0x7014f720 | 0x6e0000 | | 116 | blk.12.attn_v.weight | 0x7082f720 | 0x240000 | | 117 | blk.12.ffn_down.weight | 0x70a6f720 | 0x2680000 | | 118 | blk.12.ffn_gate.weight | 0x730ef720 | 0x1810000 | | 119 | blk.12.ffn_norm.weight | 0x748ff720 | 0x4000 | | 120 | blk.12.ffn_up.weight | 0x74903720 | 0x1810000 | | 121 | blk.13.attn_k.weight | 0x76113720 | 0x240000 | | 122 | blk.13.attn_norm.weight | 0x76353720 | 0x4000 | | 123 | blk.13.attn_output.weight | 0x76357720 | 0x900000 | | 124 | blk.13.attn_q.weight | 0x76c57720 | 0x900000 | | 125 | blk.13.attn_v.weight | 0x77557720 | 0x2c0000 | | 126 | blk.13.ffn_down.weight | 0x77817720 | 0x2680000 | | 127 | blk.13.ffn_gate.weight | 0x79e97720 | 0x1810000 | | 128 | blk.13.ffn_norm.weight | 0x7b6a7720 | 0x4000 | | 129 | blk.13.ffn_up.weight | 0x7b6ab720 | 0x1810000 | | 130 | blk.14.attn_k.weight | 0x7cebb720 | 0x240000 | | 131 | blk.14.attn_norm.weight | 0x7d0fb720 | 0x4000 | | 132 | blk.14.attn_output.weight | 0x7d0ff720 | 0x900000 | | 133 | blk.14.attn_q.weight | 0x7d9ff720 | 0x900000 | | 134 | blk.14.attn_v.weight | 0x7e2ff720 | 0x2c0000 | | 135 | blk.14.ffn_down.weight | 0x7e5bf720 | 0x2680000 | | 136 | blk.14.ffn_gate.weight | 0x80c3f720 | 0x1810000 | | 137 | blk.14.ffn_norm.weight | 0x8244f720 | 0x4000 | | 138 | blk.14.ffn_up.weight | 0x82453720 | 0x1810000 | | 139 | blk.15.attn_k.weight | 0x83c63720 | 0x1b8000 | | 140 | blk.15.attn_norm.weight | 0x83e1b720 | 0x4000 | | 141 | blk.15.attn_output.weight | 0x83e1f720 | 0x900000 | | 142 | blk.15.attn_q.weight | 0x8471f720 | 0x6e0000 | | 143 | blk.15.attn_v.weight | 0x84dff720 | 0x240000 | | 144 | blk.15.ffn_down.weight | 0x8503f720 | 0x2680000 | | 145 | blk.15.ffn_gate.weight | 0x876bf720 | 0x1810000 | | 146 | blk.15.ffn_norm.weight | 0x88ecf720 | 0x4000 | | 147 | blk.15.ffn_up.weight | 0x88ed3720 | 0x1810000 | | 148 | blk.16.attn_k.weight | 0x8a6e3720 | 0x240000 | | 149 | blk.16.attn_norm.weight | 0x8a923720 | 0x4000 | | 150 | blk.16.attn_output.weight | 0x8a927720 | 0x900000 | | 151 | blk.16.attn_q.weight | 0x8b227720 | 0x900000 | | 152 | blk.16.attn_v.weight | 0x8bb27720 | 0x2c0000 | | 153 | blk.16.ffn_down.weight | 0x8bde7720 | 0x2680000 | | 154 | blk.16.ffn_gate.weight | 0x8e467720 | 0x1f80000 | | 155 | blk.16.ffn_norm.weight | 0x903e7720 | 0x4000 | | 156 | blk.16.ffn_up.weight | 0x903eb720 | 0x1f80000 | | 157 | blk.17.attn_k.weight | 0x9236b720 | 0x1b8000 | | 158 | blk.17.attn_norm.weight | 0x92523720 | 0x4000 | | 159 | blk.17.attn_output.weight | 0x92527720 | 0x900000 | | 160 | blk.17.attn_q.weight | 0x92e27720 | 0x6e0000 | | 161 | blk.17.attn_v.weight | 0x93507720 | 0x240000 | | 162 | blk.17.ffn_down.weight | 0x93747720 | 0x2680000 | | 163 | blk.17.ffn_gate.weight | 0x95dc7720 | 0x1f80000 | | 164 | blk.17.ffn_norm.weight | 0x97d47720 | 0x4000 | | 165 | blk.17.ffn_up.weight | 0x97d4b720 | 0x1f80000 | | 166 | blk.18.attn_k.weight | 0x99ccb720 | 0x240000 | | 167 | blk.18.attn_norm.weight | 0x99f0b720 | 0x4000 | | 168 | blk.18.attn_output.weight | 0x99f0f720 | 0x900000 | | 169 | blk.18.attn_q.weight | 0x9a80f720 | 0x900000 | | 170 | blk.18.attn_v.weight | 0x9b10f720 | 0x2c0000 | | 171 | blk.18.ffn_down.weight | 0x9b3cf720 | 0x2680000 | | 172 | blk.18.ffn_gate.weight | 0x9da4f720 | 0x1f80000 | | 173 | blk.18.ffn_norm.weight | 0x9f9cf720 | 0x4000 | | 174 | blk.18.ffn_up.weight | 0x9f9d3720 | 0x1f80000 | | 175 | blk.19.attn_k.weight | 0xa1953720 | 0x240000 | | 176 | blk.19.attn_norm.weight | 0xa1b93720 | 0x4000 | | 177 | blk.19.attn_output.weight | 0xa1b97720 | 0x900000 | | 178 | blk.19.attn_q.weight | 0xa2497720 | 0x900000 | | 179 | blk.19.attn_v.weight | 0xa2d97720 | 0x2c0000 | | 180 | blk.19.ffn_down.weight | 0xa3057720 | 0x2680000 | | 181 | blk.19.ffn_gate.weight | 0xa56d7720 | 0x1f80000 | | 182 | blk.19.ffn_norm.weight | 0xa7657720 | 0x4000 | | 183 | blk.19.ffn_up.weight | 0xa765b720 | 0x1f80000 | | 184 | blk.20.attn_k.weight | 0xa95db720 | 0x240000 | | 185 | blk.20.attn_norm.weight | 0xa981b720 | 0x4000 | | 186 | blk.20.attn_output.weight | 0xa981f720 | 0x900000 | | 187 | blk.20.attn_q.weight | 0xaa11f720 | 0x900000 | | 188 | blk.20.attn_v.weight | 0xaaa1f720 | 0x2c0000 | | 189 | blk.20.ffn_down.weight | 0xaacdf720 | 0x2680000 | | 190 | blk.20.ffn_gate.weight | 0xad35f720 | 0x1f80000 | | 191 | blk.20.ffn_norm.weight | 0xaf2df720 | 0x4000 | | 192 | blk.20.ffn_up.weight | 0xaf2e3720 | 0x1f80000 | | 193 | blk.21.attn_k.weight | 0xb1263720 | 0x240000 | | 194 | blk.21.attn_norm.weight | 0xb14a3720 | 0x4000 | | 195 | blk.21.attn_output.weight | 0xb14a7720 | 0x900000 | | 196 | blk.21.attn_q.weight | 0xb1da7720 | 0x900000 | | 197 | blk.21.attn_v.weight | 0xb26a7720 | 0x2c0000 | | 198 | blk.21.ffn_down.weight | 0xb2967720 | 0x2680000 | | 199 | blk.21.ffn_gate.weight | 0xb4fe7720 | 0x1f80000 | | 200 | blk.21.ffn_norm.weight | 0xb6f67720 | 0x4000 | | 201 | blk.21.ffn_up.weight | 0xb6f6b720 | 0x1f80000 | | 202 | blk.22.attn_k.weight | 0xb8eeb720 | 0x240000 | | 203 | blk.22.attn_norm.weight | 0xb912b720 | 0x4000 | | 204 | blk.22.attn_output.weight | 0xb912f720 | 0x900000 | | 205 | blk.22.attn_q.weight | 0xb9a2f720 | 0x900000 | | 206 | blk.22.attn_v.weight | 0xba32f720 | 0x2c0000 | | 207 | blk.22.ffn_down.weight | 0xba5ef720 | 0x2680000 | | 208 | blk.22.ffn_gate.weight | 0xbcc6f720 | 0x1f80000 | | 209 | blk.22.ffn_norm.weight | 0xbebef720 | 0x4000 | | 210 | blk.22.ffn_up.weight | 0xbebf3720 | 0x1f80000 | | 211 | blk.23.attn_k.weight | 0xc0b73720 | 0x240000 | | 212 | blk.23.attn_norm.weight | 0xc0db3720 | 0x4000 | | 213 | blk.23.attn_output.weight | 0xc0db7720 | 0x900000 | | 214 | blk.23.attn_q.weight | 0xc16b7720 | 0x900000 | | 215 | blk.23.attn_v.weight | 0xc1fb7720 | 0x2c0000 | | 216 | blk.23.ffn_down.weight | 0xc2277720 | 0x2680000 | | 217 | blk.23.ffn_gate.weight | 0xc48f7720 | 0x1f80000 | | 218 | blk.23.ffn_norm.weight | 0xc6877720 | 0x4000 | | 219 | blk.23.ffn_up.weight | 0xc687b720 | 0x1f80000 | | 220 | blk.24.attn_k.weight | 0xc87fb720 | 0x240000 | | 221 | blk.24.attn_norm.weight | 0xc8a3b720 | 0x4000 | | 222 | blk.24.attn_output.weight | 0xc8a3f720 | 0x900000 | | 223 | blk.24.attn_q.weight | 0xc933f720 | 0x900000 | | 224 | blk.24.attn_v.weight | 0xc9c3f720 | 0x2c0000 | | 225 | blk.24.ffn_down.weight | 0xc9eff720 | 0x2680000 | | 226 | blk.24.ffn_gate.weight | 0xcc57f720 | 0x1f80000 | | 227 | blk.24.ffn_norm.weight | 0xce4ff720 | 0x4000 | | 228 | blk.24.ffn_up.weight | 0xce503720 | 0x1f80000 | | 229 | blk.25.attn_k.weight | 0xd0483720 | 0x240000 | | 230 | blk.25.attn_norm.weight | 0xd06c3720 | 0x4000 | | 231 | blk.25.attn_output.weight | 0xd06c7720 | 0x900000 | | 232 | blk.25.attn_q.weight | 0xd0fc7720 | 0x900000 | | 233 | blk.25.attn_v.weight | 0xd18c7720 | 0x2c0000 | | 234 | blk.25.ffn_down.weight | 0xd1b87720 | 0x2680000 | | 235 | blk.25.ffn_gate.weight | 0xd4207720 | 0x1f80000 | | 236 | blk.25.ffn_norm.weight | 0xd6187720 | 0x4000 | | 237 | blk.25.ffn_up.weight | 0xd618b720 | 0x1f80000 | | 238 | blk.26.attn_k.weight | 0xd810b720 | 0x240000 | | 239 | blk.26.attn_norm.weight | 0xd834b720 | 0x4000 | | 240 | blk.26.attn_output.weight | 0xd834f720 | 0x900000 | | 241 | blk.26.attn_q.weight | 0xd8c4f720 | 0x900000 | | 242 | blk.26.attn_v.weight | 0xd954f720 | 0x2c0000 | | 243 | blk.26.ffn_down.weight | 0xd980f720 | 0x2680000 | | 244 | blk.26.ffn_gate.weight | 0xdbe8f720 | 0x1f80000 | | 245 | blk.26.ffn_norm.weight | 0xdde0f720 | 0x4000 | | 246 | blk.26.ffn_up.weight | 0xdde13720 | 0x1f80000 | | 247 | blk.27.attn_k.weight | 0xdfd93720 | 0x240000 | | 248 | blk.27.attn_norm.weight | 0xdffd3720 | 0x4000 | | 249 | blk.27.attn_output.weight | 0xdffd7720 | 0x900000 | | 250 | blk.27.attn_q.weight | 0xe08d7720 | 0x900000 | | 251 | blk.27.attn_v.weight | 0xe11d7720 | 0x2c0000 | | 252 | blk.27.ffn_down.weight | 0xe1497720 | 0x2680000 | | 253 | blk.27.ffn_gate.weight | 0xe3b17720 | 0x1f80000 | | 254 | blk.27.ffn_norm.weight | 0xe5a97720 | 0x4000 | | 255 | blk.27.ffn_up.weight | 0xe5a9b720 | 0x1f80000 | | 256 | blk.28.attn_k.weight | 0xe7a1b720 | 0x240000 | | 257 | blk.28.attn_norm.weight | 0xe7c5b720 | 0x4000 | | 258 | blk.28.attn_output.weight | 0xe7c5f720 | 0x900000 | | 259 | blk.28.attn_q.weight | 0xe855f720 | 0x900000 | | 260 | blk.28.attn_v.weight | 0xe8e5f720 | 0x2c0000 | | 261 | blk.28.ffn_down.weight | 0xe911f720 | 0x2680000 | | 262 | blk.28.ffn_gate.weight | 0xeb79f720 | 0x1f80000 | | 263 | blk.28.ffn_norm.weight | 0xed71f720 | 0x4000 | | 264 | blk.28.ffn_up.weight | 0xed723720 | 0x1f80000 | | 265 | blk.29.attn_k.weight | 0xef6a3720 | 0x240000 | | 266 | blk.29.attn_norm.weight | 0xef8e3720 | 0x4000 | | 267 | blk.29.attn_output.weight | 0xef8e7720 | 0x900000 | | 268 | blk.29.attn_q.weight | 0xf01e7720 | 0x900000 | | 269 | blk.29.attn_v.weight | 0xf0ae7720 | 0x2c0000 | | 270 | blk.29.ffn_down.weight | 0xf0da7720 | 0x2680000 | | 271 | blk.29.ffn_gate.weight | 0xf3427720 | 0x1f80000 | | 272 | blk.29.ffn_norm.weight | 0xf53a7720 | 0x4000 | | 273 | blk.29.ffn_up.weight | 0xf53ab720 | 0x1f80000 | | 274 | blk.30.attn_k.weight | 0xf732b720 | 0x240000 | | 275 | blk.30.attn_norm.weight | 0xf756b720 | 0x4000 | | 276 | blk.30.attn_output.weight | 0xf756f720 | 0x900000 | | 277 | blk.30.attn_q.weight | 0xf7e6f720 | 0x900000 | | 278 | blk.30.attn_v.weight | 0xf876f720 | 0x2c0000 | | 279 | blk.30.ffn_down.weight | 0xf8a2f720 | 0x2680000 | | 280 | blk.30.ffn_gate.weight | 0xfb0af720 | 0x1f80000 | | 281 | blk.30.ffn_norm.weight | 0xfd02f720 | 0x4000 | | 282 | blk.30.ffn_up.weight | 0xfd033720 | 0x1f80000 | | 283 | blk.31.attn_k.weight | 0xfefb3720 | 0x1b8000 | | 284 | blk.31.attn_norm.weight | 0xff16b720 | 0x4000 | | 285 | blk.31.attn_output.weight | 0xff16f720 | 0x900000 | | 286 | blk.31.attn_q.weight | 0xffa6f720 | 0x6e0000 | | 287 | blk.31.attn_v.weight | 0x10014f720 | 0x240000 | | 288 | blk.31.ffn_down.weight | 0x10038f720 | 0x2680000 | | 289 | blk.31.ffn_gate.weight | 0x102a0f720 | 0x1f80000 | | 290 | blk.31.ffn_norm.weight | 0x10498f720 | 0x4000 | | 291 | blk.31.ffn_up.weight | 0x104993720 | 0x1f80000 | ### Base Tensor Group : ~1B Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------|:---------------------------------|:------------------|:----------------------|:-----| | 0 | output.weight | Output (W) | (~525M) 525336576 | 4096 x 128256 x 1 x 1 | Q4_K | | 1 | output_norm.weight | Output Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 2 | rope_freqs.weight | Rope_Freqs (W) | ( 64) 64 | 64 x 1 x 1 x 1 | F32 | | 3 | token_embd.weight | Token Embedding (W) | (~525M) 525336576 | 4096 x 128256 x 1 x 1 | Q3_K | - Total elements in base: ( ~1B) 1050677312 - Percentage of total elements: 13.08% ### Block 0 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 4 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 5 | blk.0.attn_norm.weight | Block 0 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 6 | blk.0.attn_output.weight | Block 0 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 7 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 8 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 9 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 10 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 11 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 12 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.0: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 1 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 13 | blk.1.attn_k.weight | Block 1 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 14 | blk.1.attn_norm.weight | Block 1 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 15 | blk.1.attn_output.weight | Block 1 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 16 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 17 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 18 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 19 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 20 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 21 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.1: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 2 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 22 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 23 | blk.2.attn_norm.weight | Block 2 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 24 | blk.2.attn_output.weight | Block 2 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 25 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 26 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 27 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 28 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 29 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 30 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.2: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 3 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 31 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 32 | blk.3.attn_norm.weight | Block 3 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 33 | blk.3.attn_output.weight | Block 3 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 34 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 35 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 36 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 37 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 38 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 39 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.3: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 4 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 40 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 41 | blk.4.attn_norm.weight | Block 4 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 42 | blk.4.attn_output.weight | Block 4 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 43 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 44 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 45 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 46 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 47 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 48 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.4: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 5 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 49 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 50 | blk.5.attn_norm.weight | Block 5 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 51 | blk.5.attn_output.weight | Block 5 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 52 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 53 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 54 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 55 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 56 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 57 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.5: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 6 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 58 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 59 | blk.6.attn_norm.weight | Block 6 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 60 | blk.6.attn_output.weight | Block 6 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 61 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 62 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 63 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 64 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 65 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 66 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.6: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 7 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 67 | blk.7.attn_k.weight | Block 7 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 68 | blk.7.attn_norm.weight | Block 7 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 69 | blk.7.attn_output.weight | Block 7 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 70 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 71 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 72 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 73 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 74 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 75 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.7: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 8 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 76 | blk.8.attn_k.weight | Block 8 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 77 | blk.8.attn_norm.weight | Block 8 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 78 | blk.8.attn_output.weight | Block 8 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 79 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 80 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 81 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 82 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 83 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 84 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.8: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 9 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------------|:-----------------------------------------------|:----------------|:----------------------|:-----| | 85 | blk.9.attn_k.weight | Block 9 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 86 | blk.9.attn_norm.weight | Block 9 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 87 | blk.9.attn_output.weight | Block 9 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 88 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 89 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 90 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 91 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 92 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 93 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.9: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 10 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 94 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 95 | blk.10.attn_norm.weight | Block 10 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 96 | blk.10.attn_output.weight | Block 10 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 97 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 98 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 99 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 100 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 101 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 102 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.10: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 11 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 103 | blk.11.attn_k.weight | Block 11 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 104 | blk.11.attn_norm.weight | Block 11 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 105 | blk.11.attn_output.weight | Block 11 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 106 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 107 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 108 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 109 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 110 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 111 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.11: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 12 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 112 | blk.12.attn_k.weight | Block 12 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 113 | blk.12.attn_norm.weight | Block 12 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 114 | blk.12.attn_output.weight | Block 12 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 115 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 116 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 117 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 118 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 119 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 120 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.12: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 13 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 121 | blk.13.attn_k.weight | Block 13 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 122 | blk.13.attn_norm.weight | Block 13 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 123 | blk.13.attn_output.weight | Block 13 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 124 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 125 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 126 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 127 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 128 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 129 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.13: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 14 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 130 | blk.14.attn_k.weight | Block 14 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 131 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 132 | blk.14.attn_output.weight | Block 14 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 133 | blk.14.attn_q.weight | Block 14 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 134 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 135 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 136 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 137 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 138 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.14: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 15 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 139 | blk.15.attn_k.weight | Block 15 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 140 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 141 | blk.15.attn_output.weight | Block 15 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 142 | blk.15.attn_q.weight | Block 15 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 143 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 144 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 145 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | | 146 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 147 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q3_K | - Total elements in blk.15: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 16 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 148 | blk.16.attn_k.weight | Block 16 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 149 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 150 | blk.16.attn_output.weight | Block 16 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 151 | blk.16.attn_q.weight | Block 16 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 152 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 153 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 154 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 155 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 156 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.16: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 17 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 157 | blk.17.attn_k.weight | Block 17 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 158 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 159 | blk.17.attn_output.weight | Block 17 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 160 | blk.17.attn_q.weight | Block 17 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 161 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 162 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 163 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 164 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 165 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.17: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 18 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 166 | blk.18.attn_k.weight | Block 18 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 167 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 168 | blk.18.attn_output.weight | Block 18 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 169 | blk.18.attn_q.weight | Block 18 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 170 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 171 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 172 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 173 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 174 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.18: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 19 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 175 | blk.19.attn_k.weight | Block 19 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 176 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 177 | blk.19.attn_output.weight | Block 19 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 178 | blk.19.attn_q.weight | Block 19 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 179 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 180 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 181 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 182 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 183 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.19: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 20 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 184 | blk.20.attn_k.weight | Block 20 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 185 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 186 | blk.20.attn_output.weight | Block 20 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 187 | blk.20.attn_q.weight | Block 20 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 188 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 189 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 190 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 191 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 192 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.20: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 21 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 193 | blk.21.attn_k.weight | Block 21 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 194 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 195 | blk.21.attn_output.weight | Block 21 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 196 | blk.21.attn_q.weight | Block 21 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 197 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 198 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 199 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 200 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 201 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.21: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 22 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 202 | blk.22.attn_k.weight | Block 22 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 203 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 204 | blk.22.attn_output.weight | Block 22 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 205 | blk.22.attn_q.weight | Block 22 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 206 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 207 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 208 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 209 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 210 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.22: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 23 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 211 | blk.23.attn_k.weight | Block 23 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 212 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 213 | blk.23.attn_output.weight | Block 23 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 214 | blk.23.attn_q.weight | Block 23 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 215 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 216 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 217 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 218 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 219 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.23: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 24 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 220 | blk.24.attn_k.weight | Block 24 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 221 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 222 | blk.24.attn_output.weight | Block 24 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 223 | blk.24.attn_q.weight | Block 24 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 224 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 225 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 226 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 227 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 228 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.24: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 25 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 229 | blk.25.attn_k.weight | Block 25 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 230 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 231 | blk.25.attn_output.weight | Block 25 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 232 | blk.25.attn_q.weight | Block 25 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 233 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 234 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 235 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 236 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 237 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.25: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 26 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 238 | blk.26.attn_k.weight | Block 26 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 239 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 240 | blk.26.attn_output.weight | Block 26 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 241 | blk.26.attn_q.weight | Block 26 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 242 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 243 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 244 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 245 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 246 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.26: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 27 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 247 | blk.27.attn_k.weight | Block 27 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 248 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 249 | blk.27.attn_output.weight | Block 27 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 250 | blk.27.attn_q.weight | Block 27 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 251 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 252 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 253 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 254 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 255 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.27: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 28 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 256 | blk.28.attn_k.weight | Block 28 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 257 | blk.28.attn_norm.weight | Block 28 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 258 | blk.28.attn_output.weight | Block 28 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 259 | blk.28.attn_q.weight | Block 28 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 260 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 261 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 262 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 263 | blk.28.ffn_norm.weight | Block 28 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 264 | blk.28.ffn_up.weight | Block 28 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.28: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 29 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 265 | blk.29.attn_k.weight | Block 29 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 266 | blk.29.attn_norm.weight | Block 29 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 267 | blk.29.attn_output.weight | Block 29 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 268 | blk.29.attn_q.weight | Block 29 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 269 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 270 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 271 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 272 | blk.29.ffn_norm.weight | Block 29 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 273 | blk.29.ffn_up.weight | Block 29 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.29: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 30 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 274 | blk.30.attn_k.weight | Block 30 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 275 | blk.30.attn_norm.weight | Block 30 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 276 | blk.30.attn_output.weight | Block 30 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 277 | blk.30.attn_q.weight | Block 30 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 278 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | | 279 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 280 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 281 | blk.30.ffn_norm.weight | Block 30 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 282 | blk.30.ffn_up.weight | Block 30 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.30: (~218M) 218112000 - Percentage of total elements: 2.72% ### Block 31 Tensor Group : ~218M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:--------------------------|:------------------------------------------------|:----------------|:----------------------|:-----| | 283 | blk.31.attn_k.weight | Block 31 Attention Key (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q3_K | | 284 | blk.31.attn_norm.weight | Block 31 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 285 | blk.31.attn_output.weight | Block 31 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | | 286 | blk.31.attn_q.weight | Block 31 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q3_K | | 287 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | | 288 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~59M) 58720256 | 14336 x 4096 x 1 x 1 | Q5_K | | 289 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | | 290 | blk.31.ffn_norm.weight | Block 31 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | | 291 | blk.31.ffn_up.weight | Block 31 Feed-Forward Network "Up" (W) | (~59M) 58720256 | 4096 x 14336 x 1 x 1 | Q4_K | - Total elements in blk.31: (~218M) 218112000 - Percentage of total elements: 2.72%