# granite-4.1-8b-WIP/granite-4.1-8b-Q5_K.gguf - GGUF Internal File Dump
- Endian: LITTLE endian
## Key Value Metadata Store
There are 42 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 | 39 |
| 4 | STRING | 1 | general.architecture | `granite` |
| 5 | STRING | 1 | general.type | `model` |
| 6 | STRING | 1 | general.name | `Granite 4.1 8b` |
| 7 | STRING | 1 | general.basename | `granite-4.1` |
| 8 | STRING | 1 | general.size_label | `8B` |
| 9 | STRING | 1 | general.license | `apache-2.0` |
| 10 | [STRING] | 2 | general.tags | [ `language`, `granite-4.1` ] |
| 11 | UINT32 | 1 | granite.block_count | 40 |
| 12 | UINT32 | 1 | granite.context_length | 131072 |
| 13 | UINT32 | 1 | granite.embedding_length | 4096 |
| 14 | UINT32 | 1 | granite.feed_forward_length | 12800 |
| 15 | UINT32 | 1 | granite.attention.head_count | 32 |
| 16 | UINT32 | 1 | granite.attention.head_count_kv | 8 |
| 17 | FLOAT32 | 1 | granite.rope.freq_base | 10000000.0 |
| 18 | FLOAT32 | 1 | granite.attention.layer_norm_rms_epsilon | 1e-05 |
| 19 | UINT32 | 1 | granite.vocab_size | 100352 |
| 20 | UINT32 | 1 | granite.rope.dimension_count | 128 |
| 21 | FLOAT32 | 1 | granite.attention.scale | 0.0078125 |
| 22 | FLOAT32 | 1 | granite.embedding_scale | 12.0 |
| 23 | FLOAT32 | 1 | granite.residual_scale | 0.22 |
| 24 | FLOAT32 | 1 | granite.logit_scale | 16.0 |
| 25 | STRING | 1 | tokenizer.ggml.model | `gpt2` |
| 26 | STRING | 1 | tokenizer.ggml.pre | `granite-docling` |
| 27 | [STRING] | 100352 | tokenizer.ggml.tokens | [ `!`, `"`, `#`, `$`, `%`, ... ] |
| 28 | [INT32] | 100352 | tokenizer.ggml.token_type | [ 1, 1, 1, 1, 1, 1, 1, ... ] |
| 29 | [STRING] | 100000 | tokenizer.ggml.merges | [ `Ġ Ġ`, `ĠĠ ĠĠ`, `i n`, `Ġ t`, `ĠĠĠĠ ĠĠĠĠ`, ... ] |
| 30 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 100257 |
| 31 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 100257 |
| 32 | UINT32 | 1 | tokenizer.ggml.unknown_token_id | 100269 |
| 33 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 100256 |
| 34 | BOOL | 1 | tokenizer.ggml.add_bos_token | False |
| 35 | STRING | 1 | tokenizer.chat_template | `{%- set tools_system_message_p`...`end_of_role|>' }}{%- endif %}` |
| 36 | BOOL | 1 | tokenizer.ggml.add_space_prefix | False |
| 37 | UINT32 | 1 | general.quantization_version | 2 |
| 38 | UINT32 | 1 | general.file_type | 17 |
| 39 | STRING | 1 | quantize.imatrix.file | `imatrix/imatrix-granite-4.1-8b-medium.gguf` |
| 40 | STRING | 1 | quantize.imatrix.dataset | `../../datasets/imatrix/combined_all_medium.txt` |
| 41 | UINT32 | 1 | quantize.imatrix.entries_count | 280 |
| 42 | UINT32 | 1 | quantize.imatrix.chunks_count | 3601 |
## Tensors Overview ~9B Elements
Total number of elements in all tensors: 8791592960 Elements
- [granite-4.1-8b-WIP/granite-4.1-8b-Q5\_K.gguf - GGUF Internal File Dump](#granite-41-8b-wipgranite-41-8b-q5_kgguf---gguf-internal-file-dump)
- [Key Value Metadata Store](#key-value-metadata-store)
- [Tensors Overview ~9B Elements](#tensors-overview-9b-elements)
- [Tensor Data Offset](#tensor-data-offset)
- [Base Tensor Group : ~822M Elements](#base-tensor-group--822m-elements)
- [Block 0 Tensor Group : ~199M Elements](#block-0-tensor-group--199m-elements)
- [Block 1 Tensor Group : ~199M Elements](#block-1-tensor-group--199m-elements)
- [Block 2 Tensor Group : ~199M Elements](#block-2-tensor-group--199m-elements)
- [Block 3 Tensor Group : ~199M Elements](#block-3-tensor-group--199m-elements)
- [Block 4 Tensor Group : ~199M Elements](#block-4-tensor-group--199m-elements)
- [Block 5 Tensor Group : ~199M Elements](#block-5-tensor-group--199m-elements)
- [Block 6 Tensor Group : ~199M Elements](#block-6-tensor-group--199m-elements)
- [Block 7 Tensor Group : ~199M Elements](#block-7-tensor-group--199m-elements)
- [Block 8 Tensor Group : ~199M Elements](#block-8-tensor-group--199m-elements)
- [Block 9 Tensor Group : ~199M Elements](#block-9-tensor-group--199m-elements)
- [Block 10 Tensor Group : ~199M Elements](#block-10-tensor-group--199m-elements)
- [Block 11 Tensor Group : ~199M Elements](#block-11-tensor-group--199m-elements)
- [Block 12 Tensor Group : ~199M Elements](#block-12-tensor-group--199m-elements)
- [Block 13 Tensor Group : ~199M Elements](#block-13-tensor-group--199m-elements)
- [Block 14 Tensor Group : ~199M Elements](#block-14-tensor-group--199m-elements)
- [Block 15 Tensor Group : ~199M Elements](#block-15-tensor-group--199m-elements)
- [Block 16 Tensor Group : ~199M Elements](#block-16-tensor-group--199m-elements)
- [Block 17 Tensor Group : ~199M Elements](#block-17-tensor-group--199m-elements)
- [Block 18 Tensor Group : ~199M Elements](#block-18-tensor-group--199m-elements)
- [Block 19 Tensor Group : ~199M Elements](#block-19-tensor-group--199m-elements)
- [Block 20 Tensor Group : ~199M Elements](#block-20-tensor-group--199m-elements)
- [Block 21 Tensor Group : ~199M Elements](#block-21-tensor-group--199m-elements)
- [Block 22 Tensor Group : ~199M Elements](#block-22-tensor-group--199m-elements)
- [Block 23 Tensor Group : ~199M Elements](#block-23-tensor-group--199m-elements)
- [Block 24 Tensor Group : ~199M Elements](#block-24-tensor-group--199m-elements)
- [Block 25 Tensor Group : ~199M Elements](#block-25-tensor-group--199m-elements)
- [Block 26 Tensor Group : ~199M Elements](#block-26-tensor-group--199m-elements)
- [Block 27 Tensor Group : ~199M Elements](#block-27-tensor-group--199m-elements)
- [Block 28 Tensor Group : ~199M Elements](#block-28-tensor-group--199m-elements)
- [Block 29 Tensor Group : ~199M Elements](#block-29-tensor-group--199m-elements)
- [Block 30 Tensor Group : ~199M Elements](#block-30-tensor-group--199m-elements)
- [Block 31 Tensor Group : ~199M Elements](#block-31-tensor-group--199m-elements)
- [Block 32 Tensor Group : ~199M Elements](#block-32-tensor-group--199m-elements)
- [Block 33 Tensor Group : ~199M Elements](#block-33-tensor-group--199m-elements)
- [Block 34 Tensor Group : ~199M Elements](#block-34-tensor-group--199m-elements)
- [Block 35 Tensor Group : ~199M Elements](#block-35-tensor-group--199m-elements)
- [Block 36 Tensor Group : ~199M Elements](#block-36-tensor-group--199m-elements)
- [Block 37 Tensor Group : ~199M Elements](#block-37-tensor-group--199m-elements)
- [Block 38 Tensor Group : ~199M Elements](#block-38-tensor-group--199m-elements)
- [Block 39 Tensor Group : ~199M Elements](#block-39-tensor-group--199m-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 | 0x367400 | 0x14190000 |
| 1 | output_norm.weight | 0x144f7400 | 0x4000 |
| 2 | token_embd.weight | 0x144fb400 | 0x10d80000 |
| 3 | blk.0.attn_k.weight | 0x2527b400 | 0x220000 |
| 4 | blk.0.attn_norm.weight | 0x2549b400 | 0x4000 |
| 5 | blk.0.attn_output.weight | 0x2549f400 | 0x900000 |
| 6 | blk.0.attn_q.weight | 0x25d9f400 | 0x880000 |
| 7 | blk.0.attn_v.weight | 0x2661f400 | 0x2c0000 |
| 8 | blk.0.ffn_down.weight | 0x268df400 | 0x1c20000 |
| 9 | blk.0.ffn_gate.weight | 0x284ff400 | 0x1a90000 |
| 10 | blk.0.ffn_norm.weight | 0x29f8f400 | 0x4000 |
| 11 | blk.0.ffn_up.weight | 0x29f93400 | 0x2260000 |
| 12 | blk.1.attn_k.weight | 0x2c1f3400 | 0x240000 |
| 13 | blk.1.attn_norm.weight | 0x2c433400 | 0x4000 |
| 14 | blk.1.attn_output.weight | 0x2c437400 | 0xb00000 |
| 15 | blk.1.attn_q.weight | 0x2cf37400 | 0xb00000 |
| 16 | blk.1.attn_v.weight | 0x2da37400 | 0x2c0000 |
| 17 | blk.1.ffn_down.weight | 0x2dcf7400 | 0x2260000 |
| 18 | blk.1.ffn_gate.weight | 0x2ff57400 | 0x2260000 |
| 19 | blk.1.ffn_norm.weight | 0x321b7400 | 0x4000 |
| 20 | blk.1.ffn_up.weight | 0x321bb400 | 0x2260000 |
| 21 | blk.2.attn_k.weight | 0x3441b400 | 0x240000 |
| 22 | blk.2.attn_norm.weight | 0x3465b400 | 0x4000 |
| 23 | blk.2.attn_output.weight | 0x3465f400 | 0xb00000 |
| 24 | blk.2.attn_q.weight | 0x3515f400 | 0xb00000 |
| 25 | blk.2.attn_v.weight | 0x35c5f400 | 0x2c0000 |
| 26 | blk.2.ffn_down.weight | 0x35f1f400 | 0x2260000 |
| 27 | blk.2.ffn_gate.weight | 0x3817f400 | 0x2260000 |
| 28 | blk.2.ffn_norm.weight | 0x3a3df400 | 0x4000 |
| 29 | blk.2.ffn_up.weight | 0x3a3e3400 | 0x2260000 |
| 30 | blk.3.attn_k.weight | 0x3c643400 | 0x240000 |
| 31 | blk.3.attn_norm.weight | 0x3c883400 | 0x4000 |
| 32 | blk.3.attn_output.weight | 0x3c887400 | 0xb00000 |
| 33 | blk.3.attn_q.weight | 0x3d387400 | 0x900000 |
| 34 | blk.3.attn_v.weight | 0x3dc87400 | 0x2c0000 |
| 35 | blk.3.ffn_down.weight | 0x3df47400 | 0x1c20000 |
| 36 | blk.3.ffn_gate.weight | 0x3fb67400 | 0x2260000 |
| 37 | blk.3.ffn_norm.weight | 0x41dc7400 | 0x4000 |
| 38 | blk.3.ffn_up.weight | 0x41dcb400 | 0x2260000 |
| 39 | blk.4.attn_k.weight | 0x4402b400 | 0x2c0000 |
| 40 | blk.4.attn_norm.weight | 0x442eb400 | 0x4000 |
| 41 | blk.4.attn_output.weight | 0x442ef400 | 0xb00000 |
| 42 | blk.4.attn_q.weight | 0x44def400 | 0xb00000 |
| 43 | blk.4.attn_v.weight | 0x458ef400 | 0x2c0000 |
| 44 | blk.4.ffn_down.weight | 0x45baf400 | 0x2260000 |
| 45 | blk.4.ffn_gate.weight | 0x47e0f400 | 0x2260000 |
| 46 | blk.4.ffn_norm.weight | 0x4a06f400 | 0x4000 |
| 47 | blk.4.ffn_up.weight | 0x4a073400 | 0x2260000 |
| 48 | blk.5.attn_k.weight | 0x4c2d3400 | 0x240000 |
| 49 | blk.5.attn_norm.weight | 0x4c513400 | 0x4000 |
| 50 | blk.5.attn_output.weight | 0x4c517400 | 0xb00000 |
| 51 | blk.5.attn_q.weight | 0x4d017400 | 0xb00000 |
| 52 | blk.5.attn_v.weight | 0x4db17400 | 0x2c0000 |
| 53 | blk.5.ffn_down.weight | 0x4ddd7400 | 0x1c20000 |
| 54 | blk.5.ffn_gate.weight | 0x4f9f7400 | 0x2260000 |
| 55 | blk.5.ffn_norm.weight | 0x51c57400 | 0x4000 |
| 56 | blk.5.ffn_up.weight | 0x51c5b400 | 0x2260000 |
| 57 | blk.6.attn_k.weight | 0x53ebb400 | 0x240000 |
| 58 | blk.6.attn_norm.weight | 0x540fb400 | 0x4000 |
| 59 | blk.6.attn_output.weight | 0x540ff400 | 0xb00000 |
| 60 | blk.6.attn_q.weight | 0x54bff400 | 0xb00000 |
| 61 | blk.6.attn_v.weight | 0x556ff400 | 0x300000 |
| 62 | blk.6.ffn_down.weight | 0x559ff400 | 0x2260000 |
| 63 | blk.6.ffn_gate.weight | 0x57c5f400 | 0x2260000 |
| 64 | blk.6.ffn_norm.weight | 0x59ebf400 | 0x4000 |
| 65 | blk.6.ffn_up.weight | 0x59ec3400 | 0x2260000 |
| 66 | blk.7.attn_k.weight | 0x5c123400 | 0x2c0000 |
| 67 | blk.7.attn_norm.weight | 0x5c3e3400 | 0x4000 |
| 68 | blk.7.attn_output.weight | 0x5c3e7400 | 0xb00000 |
| 69 | blk.7.attn_q.weight | 0x5cee7400 | 0xb00000 |
| 70 | blk.7.attn_v.weight | 0x5d9e7400 | 0x2c0000 |
| 71 | blk.7.ffn_down.weight | 0x5dca7400 | 0x2260000 |
| 72 | blk.7.ffn_gate.weight | 0x5ff07400 | 0x2260000 |
| 73 | blk.7.ffn_norm.weight | 0x62167400 | 0x4000 |
| 74 | blk.7.ffn_up.weight | 0x6216b400 | 0x2260000 |
| 75 | blk.8.attn_k.weight | 0x643cb400 | 0x240000 |
| 76 | blk.8.attn_norm.weight | 0x6460b400 | 0x4000 |
| 77 | blk.8.attn_output.weight | 0x6460f400 | 0xb00000 |
| 78 | blk.8.attn_q.weight | 0x6510f400 | 0xb00000 |
| 79 | blk.8.attn_v.weight | 0x65c0f400 | 0x2c0000 |
| 80 | blk.8.ffn_down.weight | 0x65ecf400 | 0x2260000 |
| 81 | blk.8.ffn_gate.weight | 0x6812f400 | 0x2260000 |
| 82 | blk.8.ffn_norm.weight | 0x6a38f400 | 0x4000 |
| 83 | blk.8.ffn_up.weight | 0x6a393400 | 0x2260000 |
| 84 | blk.9.attn_k.weight | 0x6c5f3400 | 0x240000 |
| 85 | blk.9.attn_norm.weight | 0x6c833400 | 0x4000 |
| 86 | blk.9.attn_output.weight | 0x6c837400 | 0xb00000 |
| 87 | blk.9.attn_q.weight | 0x6d337400 | 0xb00000 |
| 88 | blk.9.attn_v.weight | 0x6de37400 | 0x2c0000 |
| 89 | blk.9.ffn_down.weight | 0x6e0f7400 | 0x2260000 |
| 90 | blk.9.ffn_gate.weight | 0x70357400 | 0x2260000 |
| 91 | blk.9.ffn_norm.weight | 0x725b7400 | 0x4000 |
| 92 | blk.9.ffn_up.weight | 0x725bb400 | 0x2260000 |
| 93 | blk.10.attn_k.weight | 0x7481b400 | 0x240000 |
| 94 | blk.10.attn_norm.weight | 0x74a5b400 | 0x4000 |
| 95 | blk.10.attn_output.weight | 0x74a5f400 | 0xb00000 |
| 96 | blk.10.attn_q.weight | 0x7555f400 | 0xb00000 |
| 97 | blk.10.attn_v.weight | 0x7605f400 | 0x2c0000 |
| 98 | blk.10.ffn_down.weight | 0x7631f400 | 0x2260000 |
| 99 | blk.10.ffn_gate.weight | 0x7857f400 | 0x2260000 |
| 100 | blk.10.ffn_norm.weight | 0x7a7df400 | 0x4000 |
| 101 | blk.10.ffn_up.weight | 0x7a7e3400 | 0x2260000 |
| 102 | blk.11.attn_k.weight | 0x7ca43400 | 0x240000 |
| 103 | blk.11.attn_norm.weight | 0x7cc83400 | 0x4000 |
| 104 | blk.11.attn_output.weight | 0x7cc87400 | 0xb00000 |
| 105 | blk.11.attn_q.weight | 0x7d787400 | 0xb00000 |
| 106 | blk.11.attn_v.weight | 0x7e287400 | 0x2c0000 |
| 107 | blk.11.ffn_down.weight | 0x7e547400 | 0x2260000 |
| 108 | blk.11.ffn_gate.weight | 0x807a7400 | 0x1a90000 |
| 109 | blk.11.ffn_norm.weight | 0x82237400 | 0x4000 |
| 110 | blk.11.ffn_up.weight | 0x8223b400 | 0x2260000 |
| 111 | blk.12.attn_k.weight | 0x8449b400 | 0x240000 |
| 112 | blk.12.attn_norm.weight | 0x846db400 | 0x4000 |
| 113 | blk.12.attn_output.weight | 0x846df400 | 0xb00000 |
| 114 | blk.12.attn_q.weight | 0x851df400 | 0xb00000 |
| 115 | blk.12.attn_v.weight | 0x85cdf400 | 0x2c0000 |
| 116 | blk.12.ffn_down.weight | 0x85f9f400 | 0x2260000 |
| 117 | blk.12.ffn_gate.weight | 0x881ff400 | 0x1a90000 |
| 118 | blk.12.ffn_norm.weight | 0x89c8f400 | 0x4000 |
| 119 | blk.12.ffn_up.weight | 0x89c93400 | 0x2260000 |
| 120 | blk.13.attn_k.weight | 0x8bef3400 | 0x2c0000 |
| 121 | blk.13.attn_norm.weight | 0x8c1b3400 | 0x4000 |
| 122 | blk.13.attn_output.weight | 0x8c1b7400 | 0xb00000 |
| 123 | blk.13.attn_q.weight | 0x8ccb7400 | 0xb00000 |
| 124 | blk.13.attn_v.weight | 0x8d7b7400 | 0x2c0000 |
| 125 | blk.13.ffn_down.weight | 0x8da77400 | 0x2260000 |
| 126 | blk.13.ffn_gate.weight | 0x8fcd7400 | 0x2260000 |
| 127 | blk.13.ffn_norm.weight | 0x91f37400 | 0x4000 |
| 128 | blk.13.ffn_up.weight | 0x91f3b400 | 0x2260000 |
| 129 | blk.14.attn_k.weight | 0x9419b400 | 0x2c0000 |
| 130 | blk.14.attn_norm.weight | 0x9445b400 | 0x4000 |
| 131 | blk.14.attn_output.weight | 0x9445f400 | 0xb00000 |
| 132 | blk.14.attn_q.weight | 0x94f5f400 | 0xb00000 |
| 133 | blk.14.attn_v.weight | 0x95a5f400 | 0x2c0000 |
| 134 | blk.14.ffn_down.weight | 0x95d1f400 | 0x2260000 |
| 135 | blk.14.ffn_gate.weight | 0x97f7f400 | 0x2260000 |
| 136 | blk.14.ffn_norm.weight | 0x9a1df400 | 0x4000 |
| 137 | blk.14.ffn_up.weight | 0x9a1e3400 | 0x2260000 |
| 138 | blk.15.attn_k.weight | 0x9c443400 | 0x2c0000 |
| 139 | blk.15.attn_norm.weight | 0x9c703400 | 0x4000 |
| 140 | blk.15.attn_output.weight | 0x9c707400 | 0xb00000 |
| 141 | blk.15.attn_q.weight | 0x9d207400 | 0xb00000 |
| 142 | blk.15.attn_v.weight | 0x9dd07400 | 0x2c0000 |
| 143 | blk.15.ffn_down.weight | 0x9dfc7400 | 0x2260000 |
| 144 | blk.15.ffn_gate.weight | 0xa0227400 | 0x2260000 |
| 145 | blk.15.ffn_norm.weight | 0xa2487400 | 0x4000 |
| 146 | blk.15.ffn_up.weight | 0xa248b400 | 0x2260000 |
| 147 | blk.16.attn_k.weight | 0xa46eb400 | 0x2c0000 |
| 148 | blk.16.attn_norm.weight | 0xa49ab400 | 0x4000 |
| 149 | blk.16.attn_output.weight | 0xa49af400 | 0xb00000 |
| 150 | blk.16.attn_q.weight | 0xa54af400 | 0xb00000 |
| 151 | blk.16.attn_v.weight | 0xa5faf400 | 0x2c0000 |
| 152 | blk.16.ffn_down.weight | 0xa626f400 | 0x2260000 |
| 153 | blk.16.ffn_gate.weight | 0xa84cf400 | 0x2260000 |
| 154 | blk.16.ffn_norm.weight | 0xaa72f400 | 0x4000 |
| 155 | blk.16.ffn_up.weight | 0xaa733400 | 0x2260000 |
| 156 | blk.17.attn_k.weight | 0xac993400 | 0x2c0000 |
| 157 | blk.17.attn_norm.weight | 0xacc53400 | 0x4000 |
| 158 | blk.17.attn_output.weight | 0xacc57400 | 0xb00000 |
| 159 | blk.17.attn_q.weight | 0xad757400 | 0xb00000 |
| 160 | blk.17.attn_v.weight | 0xae257400 | 0x2c0000 |
| 161 | blk.17.ffn_down.weight | 0xae517400 | 0x2260000 |
| 162 | blk.17.ffn_gate.weight | 0xb0777400 | 0x2260000 |
| 163 | blk.17.ffn_norm.weight | 0xb29d7400 | 0x4000 |
| 164 | blk.17.ffn_up.weight | 0xb29db400 | 0x2260000 |
| 165 | blk.18.attn_k.weight | 0xb4c3b400 | 0x240000 |
| 166 | blk.18.attn_norm.weight | 0xb4e7b400 | 0x4000 |
| 167 | blk.18.attn_output.weight | 0xb4e7f400 | 0xb00000 |
| 168 | blk.18.attn_q.weight | 0xb597f400 | 0xb00000 |
| 169 | blk.18.attn_v.weight | 0xb647f400 | 0x2c0000 |
| 170 | blk.18.ffn_down.weight | 0xb673f400 | 0x2260000 |
| 171 | blk.18.ffn_gate.weight | 0xb899f400 | 0x2260000 |
| 172 | blk.18.ffn_norm.weight | 0xbabff400 | 0x4000 |
| 173 | blk.18.ffn_up.weight | 0xbac03400 | 0x2260000 |
| 174 | blk.19.attn_k.weight | 0xbce63400 | 0x240000 |
| 175 | blk.19.attn_norm.weight | 0xbd0a3400 | 0x4000 |
| 176 | blk.19.attn_output.weight | 0xbd0a7400 | 0xb00000 |
| 177 | blk.19.attn_q.weight | 0xbdba7400 | 0xb00000 |
| 178 | blk.19.attn_v.weight | 0xbe6a7400 | 0x2c0000 |
| 179 | blk.19.ffn_down.weight | 0xbe967400 | 0x2260000 |
| 180 | blk.19.ffn_gate.weight | 0xc0bc7400 | 0x2260000 |
| 181 | blk.19.ffn_norm.weight | 0xc2e27400 | 0x4000 |
| 182 | blk.19.ffn_up.weight | 0xc2e2b400 | 0x2260000 |
| 183 | blk.20.attn_k.weight | 0xc508b400 | 0x2c0000 |
| 184 | blk.20.attn_norm.weight | 0xc534b400 | 0x4000 |
| 185 | blk.20.attn_output.weight | 0xc534f400 | 0xb00000 |
| 186 | blk.20.attn_q.weight | 0xc5e4f400 | 0xb00000 |
| 187 | blk.20.attn_v.weight | 0xc694f400 | 0x2c0000 |
| 188 | blk.20.ffn_down.weight | 0xc6c0f400 | 0x2260000 |
| 189 | blk.20.ffn_gate.weight | 0xc8e6f400 | 0x2260000 |
| 190 | blk.20.ffn_norm.weight | 0xcb0cf400 | 0x4000 |
| 191 | blk.20.ffn_up.weight | 0xcb0d3400 | 0x2260000 |
| 192 | blk.21.attn_k.weight | 0xcd333400 | 0x240000 |
| 193 | blk.21.attn_norm.weight | 0xcd573400 | 0x4000 |
| 194 | blk.21.attn_output.weight | 0xcd577400 | 0xb00000 |
| 195 | blk.21.attn_q.weight | 0xce077400 | 0xb00000 |
| 196 | blk.21.attn_v.weight | 0xceb77400 | 0x2c0000 |
| 197 | blk.21.ffn_down.weight | 0xcee37400 | 0x2260000 |
| 198 | blk.21.ffn_gate.weight | 0xd1097400 | 0x2260000 |
| 199 | blk.21.ffn_norm.weight | 0xd32f7400 | 0x4000 |
| 200 | blk.21.ffn_up.weight | 0xd32fb400 | 0x2260000 |
| 201 | blk.22.attn_k.weight | 0xd555b400 | 0x2c0000 |
| 202 | blk.22.attn_norm.weight | 0xd581b400 | 0x4000 |
| 203 | blk.22.attn_output.weight | 0xd581f400 | 0xb00000 |
| 204 | blk.22.attn_q.weight | 0xd631f400 | 0xb00000 |
| 205 | blk.22.attn_v.weight | 0xd6e1f400 | 0x2c0000 |
| 206 | blk.22.ffn_down.weight | 0xd70df400 | 0x2260000 |
| 207 | blk.22.ffn_gate.weight | 0xd933f400 | 0x2260000 |
| 208 | blk.22.ffn_norm.weight | 0xdb59f400 | 0x4000 |
| 209 | blk.22.ffn_up.weight | 0xdb5a3400 | 0x2260000 |
| 210 | blk.23.attn_k.weight | 0xdd803400 | 0x240000 |
| 211 | blk.23.attn_norm.weight | 0xdda43400 | 0x4000 |
| 212 | blk.23.attn_output.weight | 0xdda47400 | 0xb00000 |
| 213 | blk.23.attn_q.weight | 0xde547400 | 0xb00000 |
| 214 | blk.23.attn_v.weight | 0xdf047400 | 0x2c0000 |
| 215 | blk.23.ffn_down.weight | 0xdf307400 | 0x2260000 |
| 216 | blk.23.ffn_gate.weight | 0xe1567400 | 0x2260000 |
| 217 | blk.23.ffn_norm.weight | 0xe37c7400 | 0x4000 |
| 218 | blk.23.ffn_up.weight | 0xe37cb400 | 0x2260000 |
| 219 | blk.24.attn_k.weight | 0xe5a2b400 | 0x240000 |
| 220 | blk.24.attn_norm.weight | 0xe5c6b400 | 0x4000 |
| 221 | blk.24.attn_output.weight | 0xe5c6f400 | 0xd20000 |
| 222 | blk.24.attn_q.weight | 0xe698f400 | 0xb00000 |
| 223 | blk.24.attn_v.weight | 0xe748f400 | 0x2c0000 |
| 224 | blk.24.ffn_down.weight | 0xe774f400 | 0x2260000 |
| 225 | blk.24.ffn_gate.weight | 0xe99af400 | 0x2260000 |
| 226 | blk.24.ffn_norm.weight | 0xebc0f400 | 0x4000 |
| 227 | blk.24.ffn_up.weight | 0xebc13400 | 0x2260000 |
| 228 | blk.25.attn_k.weight | 0xede73400 | 0x240000 |
| 229 | blk.25.attn_norm.weight | 0xee0b3400 | 0x4000 |
| 230 | blk.25.attn_output.weight | 0xee0b7400 | 0xb00000 |
| 231 | blk.25.attn_q.weight | 0xeebb7400 | 0xb00000 |
| 232 | blk.25.attn_v.weight | 0xef6b7400 | 0x2c0000 |
| 233 | blk.25.ffn_down.weight | 0xef977400 | 0x2260000 |
| 234 | blk.25.ffn_gate.weight | 0xf1bd7400 | 0x2260000 |
| 235 | blk.25.ffn_norm.weight | 0xf3e37400 | 0x4000 |
| 236 | blk.25.ffn_up.weight | 0xf3e3b400 | 0x2260000 |
| 237 | blk.26.attn_k.weight | 0xf609b400 | 0x240000 |
| 238 | blk.26.attn_norm.weight | 0xf62db400 | 0x4000 |
| 239 | blk.26.attn_output.weight | 0xf62df400 | 0xb00000 |
| 240 | blk.26.attn_q.weight | 0xf6ddf400 | 0xb00000 |
| 241 | blk.26.attn_v.weight | 0xf78df400 | 0x2c0000 |
| 242 | blk.26.ffn_down.weight | 0xf7b9f400 | 0x2260000 |
| 243 | blk.26.ffn_gate.weight | 0xf9dff400 | 0x2260000 |
| 244 | blk.26.ffn_norm.weight | 0xfc05f400 | 0x4000 |
| 245 | blk.26.ffn_up.weight | 0xfc063400 | 0x2260000 |
| 246 | blk.27.attn_k.weight | 0xfe2c3400 | 0x2c0000 |
| 247 | blk.27.attn_norm.weight | 0xfe583400 | 0x4000 |
| 248 | blk.27.attn_output.weight | 0xfe587400 | 0xb00000 |
| 249 | blk.27.attn_q.weight | 0xff087400 | 0xb00000 |
| 250 | blk.27.attn_v.weight | 0xffb87400 | 0x2c0000 |
| 251 | blk.27.ffn_down.weight | 0xffe47400 | 0x2260000 |
| 252 | blk.27.ffn_gate.weight | 0x1020a7400 | 0x2260000 |
| 253 | blk.27.ffn_norm.weight | 0x104307400 | 0x4000 |
| 254 | blk.27.ffn_up.weight | 0x10430b400 | 0x2260000 |
| 255 | blk.28.attn_k.weight | 0x10656b400 | 0x2c0000 |
| 256 | blk.28.attn_norm.weight | 0x10682b400 | 0x4000 |
| 257 | blk.28.attn_output.weight | 0x10682f400 | 0xb00000 |
| 258 | blk.28.attn_q.weight | 0x10732f400 | 0xb00000 |
| 259 | blk.28.attn_v.weight | 0x107e2f400 | 0x2c0000 |
| 260 | blk.28.ffn_down.weight | 0x1080ef400 | 0x2260000 |
| 261 | blk.28.ffn_gate.weight | 0x10a34f400 | 0x2260000 |
| 262 | blk.28.ffn_norm.weight | 0x10c5af400 | 0x4000 |
| 263 | blk.28.ffn_up.weight | 0x10c5b3400 | 0x2260000 |
| 264 | blk.29.attn_k.weight | 0x10e813400 | 0x2c0000 |
| 265 | blk.29.attn_norm.weight | 0x10ead3400 | 0x4000 |
| 266 | blk.29.attn_output.weight | 0x10ead7400 | 0xb00000 |
| 267 | blk.29.attn_q.weight | 0x10f5d7400 | 0xb00000 |
| 268 | blk.29.attn_v.weight | 0x1100d7400 | 0x2c0000 |
| 269 | blk.29.ffn_down.weight | 0x110397400 | 0x2260000 |
| 270 | blk.29.ffn_gate.weight | 0x1125f7400 | 0x2260000 |
| 271 | blk.29.ffn_norm.weight | 0x114857400 | 0x4000 |
| 272 | blk.29.ffn_up.weight | 0x11485b400 | 0x2260000 |
| 273 | blk.30.attn_k.weight | 0x116abb400 | 0x2c0000 |
| 274 | blk.30.attn_norm.weight | 0x116d7b400 | 0x4000 |
| 275 | blk.30.attn_output.weight | 0x116d7f400 | 0xb00000 |
| 276 | blk.30.attn_q.weight | 0x11787f400 | 0xb00000 |
| 277 | blk.30.attn_v.weight | 0x11837f400 | 0x2c0000 |
| 278 | blk.30.ffn_down.weight | 0x11863f400 | 0x2260000 |
| 279 | blk.30.ffn_gate.weight | 0x11a89f400 | 0x2260000 |
| 280 | blk.30.ffn_norm.weight | 0x11caff400 | 0x4000 |
| 281 | blk.30.ffn_up.weight | 0x11cb03400 | 0x2260000 |
| 282 | blk.31.attn_k.weight | 0x11ed63400 | 0x2c0000 |
| 283 | blk.31.attn_norm.weight | 0x11f023400 | 0x4000 |
| 284 | blk.31.attn_output.weight | 0x11f027400 | 0xd20000 |
| 285 | blk.31.attn_q.weight | 0x11fd47400 | 0xb00000 |
| 286 | blk.31.attn_v.weight | 0x120847400 | 0x2c0000 |
| 287 | blk.31.ffn_down.weight | 0x120b07400 | 0x2260000 |
| 288 | blk.31.ffn_gate.weight | 0x122d67400 | 0x2260000 |
| 289 | blk.31.ffn_norm.weight | 0x124fc7400 | 0x4000 |
| 290 | blk.31.ffn_up.weight | 0x124fcb400 | 0x2260000 |
| 291 | blk.32.attn_k.weight | 0x12722b400 | 0x2c0000 |
| 292 | blk.32.attn_norm.weight | 0x1274eb400 | 0x4000 |
| 293 | blk.32.attn_output.weight | 0x1274ef400 | 0xb00000 |
| 294 | blk.32.attn_q.weight | 0x127fef400 | 0xb00000 |
| 295 | blk.32.attn_v.weight | 0x128aef400 | 0x2c0000 |
| 296 | blk.32.ffn_down.weight | 0x128daf400 | 0x2260000 |
| 297 | blk.32.ffn_gate.weight | 0x12b00f400 | 0x2260000 |
| 298 | blk.32.ffn_norm.weight | 0x12d26f400 | 0x4000 |
| 299 | blk.32.ffn_up.weight | 0x12d273400 | 0x2260000 |
| 300 | blk.33.attn_k.weight | 0x12f4d3400 | 0x2c0000 |
| 301 | blk.33.attn_norm.weight | 0x12f793400 | 0x4000 |
| 302 | blk.33.attn_output.weight | 0x12f797400 | 0xd20000 |
| 303 | blk.33.attn_q.weight | 0x1304b7400 | 0xb00000 |
| 304 | blk.33.attn_v.weight | 0x130fb7400 | 0x2c0000 |
| 305 | blk.33.ffn_down.weight | 0x131277400 | 0x2260000 |
| 306 | blk.33.ffn_gate.weight | 0x1334d7400 | 0x2260000 |
| 307 | blk.33.ffn_norm.weight | 0x135737400 | 0x4000 |
| 308 | blk.33.ffn_up.weight | 0x13573b400 | 0x2260000 |
| 309 | blk.34.attn_k.weight | 0x13799b400 | 0x2c0000 |
| 310 | blk.34.attn_norm.weight | 0x137c5b400 | 0x4000 |
| 311 | blk.34.attn_output.weight | 0x137c5f400 | 0xb00000 |
| 312 | blk.34.attn_q.weight | 0x13875f400 | 0xb00000 |
| 313 | blk.34.attn_v.weight | 0x13925f400 | 0x2c0000 |
| 314 | blk.34.ffn_down.weight | 0x13951f400 | 0x2260000 |
| 315 | blk.34.ffn_gate.weight | 0x13b77f400 | 0x2260000 |
| 316 | blk.34.ffn_norm.weight | 0x13d9df400 | 0x4000 |
| 317 | blk.34.ffn_up.weight | 0x13d9e3400 | 0x2260000 |
| 318 | blk.35.attn_k.weight | 0x13fc43400 | 0x240000 |
| 319 | blk.35.attn_norm.weight | 0x13fe83400 | 0x4000 |
| 320 | blk.35.attn_output.weight | 0x13fe87400 | 0xb00000 |
| 321 | blk.35.attn_q.weight | 0x140987400 | 0xb00000 |
| 322 | blk.35.attn_v.weight | 0x141487400 | 0x2c0000 |
| 323 | blk.35.ffn_down.weight | 0x141747400 | 0x2260000 |
| 324 | blk.35.ffn_gate.weight | 0x1439a7400 | 0x2260000 |
| 325 | blk.35.ffn_norm.weight | 0x145c07400 | 0x4000 |
| 326 | blk.35.ffn_up.weight | 0x145c0b400 | 0x2260000 |
| 327 | blk.36.attn_k.weight | 0x147e6b400 | 0x240000 |
| 328 | blk.36.attn_norm.weight | 0x1480ab400 | 0x4000 |
| 329 | blk.36.attn_output.weight | 0x1480af400 | 0xb00000 |
| 330 | blk.36.attn_q.weight | 0x148baf400 | 0xb00000 |
| 331 | blk.36.attn_v.weight | 0x1496af400 | 0x2c0000 |
| 332 | blk.36.ffn_down.weight | 0x14996f400 | 0x2260000 |
| 333 | blk.36.ffn_gate.weight | 0x14bbcf400 | 0x2260000 |
| 334 | blk.36.ffn_norm.weight | 0x14de2f400 | 0x4000 |
| 335 | blk.36.ffn_up.weight | 0x14de33400 | 0x2260000 |
| 336 | blk.37.attn_k.weight | 0x150093400 | 0x240000 |
| 337 | blk.37.attn_norm.weight | 0x1502d3400 | 0x4000 |
| 338 | blk.37.attn_output.weight | 0x1502d7400 | 0xb00000 |
| 339 | blk.37.attn_q.weight | 0x150dd7400 | 0xb00000 |
| 340 | blk.37.attn_v.weight | 0x1518d7400 | 0x2c0000 |
| 341 | blk.37.ffn_down.weight | 0x151b97400 | 0x2260000 |
| 342 | blk.37.ffn_gate.weight | 0x153df7400 | 0x2260000 |
| 343 | blk.37.ffn_norm.weight | 0x156057400 | 0x4000 |
| 344 | blk.37.ffn_up.weight | 0x15605b400 | 0x2260000 |
| 345 | blk.38.attn_k.weight | 0x1582bb400 | 0x240000 |
| 346 | blk.38.attn_norm.weight | 0x1584fb400 | 0x4000 |
| 347 | blk.38.attn_output.weight | 0x1584ff400 | 0xb00000 |
| 348 | blk.38.attn_q.weight | 0x158fff400 | 0xb00000 |
| 349 | blk.38.attn_v.weight | 0x159aff400 | 0x2c0000 |
| 350 | blk.38.ffn_down.weight | 0x159dbf400 | 0x2260000 |
| 351 | blk.38.ffn_gate.weight | 0x15c01f400 | 0x2260000 |
| 352 | blk.38.ffn_norm.weight | 0x15e27f400 | 0x4000 |
| 353 | blk.38.ffn_up.weight | 0x15e283400 | 0x2260000 |
| 354 | blk.39.attn_k.weight | 0x1604e3400 | 0x2c0000 |
| 355 | blk.39.attn_norm.weight | 0x1607a3400 | 0x4000 |
| 356 | blk.39.attn_output.weight | 0x1607a7400 | 0xb00000 |
| 357 | blk.39.attn_q.weight | 0x1612a7400 | 0xb00000 |
| 358 | blk.39.attn_v.weight | 0x161da7400 | 0x2c0000 |
| 359 | blk.39.ffn_down.weight | 0x162067400 | 0x2260000 |
| 360 | blk.39.ffn_gate.weight | 0x1642c7400 | 0x2260000 |
| 361 | blk.39.ffn_norm.weight | 0x166527400 | 0x4000 |
| 362 | blk.39.ffn_up.weight | 0x16652b400 | 0x2260000 |
### Base Tensor Group : ~822M Elements
| T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | BPW |
|-----:|:-------------------|:---------------------------------|:------------------|:----------------------|:-----|--------:|
| 0 | output.weight | Output (W) | (~411M) 411041792 | 4096 x 100352 x 1 x 1 | Q6_K | 6.5625 |
| 1 | output_norm.weight | Output Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 2 | token_embd.weight | Token Embedding (W) | (~411M) 411041792 | 4096 x 100352 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in base: (~822M) 822087680
- Percentage of total elements: 9.35%
- Bits per Weight (BPW) for base: 6.0314 bits
### Block 0 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | IQ4_XS | 4.2500 |
| 4 | blk.0.attn_norm.weight | Block 0 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 5 | blk.0.attn_output.weight | Block 0 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | 4.5000 |
| 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | IQ4_XS | 4.2500 |
| 7 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 8 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q4_K | 4.5000 |
| 9 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ4_XS | 4.2500 |
| 10 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 11 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.0: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.0: 4.6932 bits
### Block 1 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 13 | blk.1.attn_norm.weight | Block 1 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 14 | blk.1.attn_output.weight | Block 1 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 15 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 16 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 17 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 18 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 19 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 20 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.1: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.1: 5.4800 bits
### Block 2 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 22 | blk.2.attn_norm.weight | Block 2 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 23 | blk.2.attn_output.weight | Block 2 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 24 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 25 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 26 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 27 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 28 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 29 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.2: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.2: 5.4800 bits
### Block 3 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 31 | blk.3.attn_norm.weight | Block 3 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 32 | blk.3.attn_output.weight | Block 3 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 33 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q4_K | 4.5000 |
| 34 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 35 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q4_K | 4.5000 |
| 36 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 37 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 38 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.3: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.3: 5.1327 bits
### Block 4 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 40 | blk.4.attn_norm.weight | Block 4 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 41 | blk.4.attn_output.weight | Block 4 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 42 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 43 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 44 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 45 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 46 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 47 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.4: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.4: 5.5011 bits
### Block 5 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 49 | blk.5.attn_norm.weight | Block 5 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 50 | blk.5.attn_output.weight | Block 5 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 51 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 52 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 53 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q4_K | 4.5000 |
| 54 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 55 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 56 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.5: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.5: 5.2169 bits
### Block 6 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 58 | blk.6.attn_norm.weight | Block 6 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 59 | blk.6.attn_output.weight | Block 6 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 60 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 61 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_1 | 6.0000 |
| 62 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 63 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 64 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 65 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.6: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.6: 5.4906 bits
### Block 7 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 67 | blk.7.attn_norm.weight | Block 7 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 68 | blk.7.attn_output.weight | Block 7 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 69 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 70 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 71 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 72 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 73 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 74 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.7: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.7: 5.5011 bits
### Block 8 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 76 | blk.8.attn_norm.weight | Block 8 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 77 | blk.8.attn_output.weight | Block 8 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 78 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 79 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 80 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 81 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 82 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 83 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.8: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.8: 5.4800 bits
### Block 9 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 85 | blk.9.attn_norm.weight | Block 9 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 86 | blk.9.attn_output.weight | Block 9 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 87 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 88 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 89 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 90 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 91 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 92 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.9: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.9: 5.4800 bits
### Block 10 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 94 | blk.10.attn_norm.weight | Block 10 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 95 | blk.10.attn_output.weight | Block 10 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 96 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 97 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 98 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 99 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 100 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 101 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.10: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.10: 5.4800 bits
### Block 11 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 103 | blk.11.attn_norm.weight | Block 11 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 104 | blk.11.attn_output.weight | Block 11 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 105 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 106 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 107 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 108 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ4_XS | 4.2500 |
| 109 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 110 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.11: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.11: 5.1511 bits
### Block 12 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 112 | blk.12.attn_norm.weight | Block 12 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 113 | blk.12.attn_output.weight | Block 12 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 114 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 115 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 116 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 117 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | IQ4_XS | 4.2500 |
| 118 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 119 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.12: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.12: 5.1511 bits
### Block 13 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 121 | blk.13.attn_norm.weight | Block 13 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 122 | blk.13.attn_output.weight | Block 13 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 123 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 124 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 125 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 126 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 127 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 128 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.13: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.13: 5.5011 bits
### Block 14 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 130 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 131 | blk.14.attn_output.weight | Block 14 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 132 | blk.14.attn_q.weight | Block 14 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 133 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 134 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 135 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 136 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 137 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.14: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.14: 5.5011 bits
### Block 15 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 139 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 140 | blk.15.attn_output.weight | Block 15 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 141 | blk.15.attn_q.weight | Block 15 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 142 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 143 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 144 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 145 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 146 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.15: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.15: 5.5011 bits
### Block 16 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 148 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 149 | blk.16.attn_output.weight | Block 16 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 150 | blk.16.attn_q.weight | Block 16 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 151 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 152 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 153 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 154 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 155 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.16: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.16: 5.5011 bits
### Block 17 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 157 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 158 | blk.17.attn_output.weight | Block 17 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 159 | blk.17.attn_q.weight | Block 17 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 160 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 161 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 162 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 163 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 164 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.17: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.17: 5.5011 bits
### Block 18 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 166 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 167 | blk.18.attn_output.weight | Block 18 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 168 | blk.18.attn_q.weight | Block 18 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 169 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 170 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 171 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 172 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 173 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.18: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.18: 5.4800 bits
### Block 19 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 175 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 176 | blk.19.attn_output.weight | Block 19 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 177 | blk.19.attn_q.weight | Block 19 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 178 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 179 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 180 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 181 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 182 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.19: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.19: 5.4800 bits
### Block 20 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 184 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 185 | blk.20.attn_output.weight | Block 20 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 186 | blk.20.attn_q.weight | Block 20 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 187 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 188 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 189 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 190 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 191 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.20: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.20: 5.5011 bits
### Block 21 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 193 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 194 | blk.21.attn_output.weight | Block 21 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 195 | blk.21.attn_q.weight | Block 21 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 196 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 197 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 198 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 199 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 200 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.21: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.21: 5.4800 bits
### Block 22 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 202 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 203 | blk.22.attn_output.weight | Block 22 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 204 | blk.22.attn_q.weight | Block 22 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 205 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 206 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 207 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 208 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 209 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.22: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.22: 5.5011 bits
### Block 23 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 211 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 212 | blk.23.attn_output.weight | Block 23 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 213 | blk.23.attn_q.weight | Block 23 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 214 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 215 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 216 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 217 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 218 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.23: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.23: 5.4800 bits
### Block 24 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 220 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 221 | blk.24.attn_output.weight | Block 24 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 222 | blk.24.attn_q.weight | Block 24 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 223 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 224 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 225 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 226 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 227 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.24: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.24: 5.5695 bits
### Block 25 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 229 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 230 | blk.25.attn_output.weight | Block 25 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 231 | blk.25.attn_q.weight | Block 25 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 232 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 233 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 234 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 235 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 236 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.25: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.25: 5.4800 bits
### Block 26 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 238 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 239 | blk.26.attn_output.weight | Block 26 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 240 | blk.26.attn_q.weight | Block 26 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 241 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 242 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 243 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 244 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 245 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.26: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.26: 5.4800 bits
### Block 27 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 247 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 248 | blk.27.attn_output.weight | Block 27 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 249 | blk.27.attn_q.weight | Block 27 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 250 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 251 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 252 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 253 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 254 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.27: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.27: 5.5011 bits
### Block 28 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 256 | blk.28.attn_norm.weight | Block 28 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 257 | blk.28.attn_output.weight | Block 28 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 258 | blk.28.attn_q.weight | Block 28 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 259 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 260 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 261 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 262 | blk.28.ffn_norm.weight | Block 28 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 263 | blk.28.ffn_up.weight | Block 28 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.28: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.28: 5.5011 bits
### Block 29 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 265 | blk.29.attn_norm.weight | Block 29 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 266 | blk.29.attn_output.weight | Block 29 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 267 | blk.29.attn_q.weight | Block 29 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 268 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 269 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 270 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 271 | blk.29.ffn_norm.weight | Block 29 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 272 | blk.29.ffn_up.weight | Block 29 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.29: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.29: 5.5011 bits
### Block 30 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 274 | blk.30.attn_norm.weight | Block 30 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 275 | blk.30.attn_output.weight | Block 30 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 276 | blk.30.attn_q.weight | Block 30 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 277 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 278 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 279 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 280 | blk.30.ffn_norm.weight | Block 30 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 281 | blk.30.ffn_up.weight | Block 30 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.30: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.30: 5.5011 bits
### Block 31 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 283 | blk.31.attn_norm.weight | Block 31 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 284 | blk.31.attn_output.weight | Block 31 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 285 | blk.31.attn_q.weight | Block 31 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 286 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 287 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 288 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 289 | blk.31.ffn_norm.weight | Block 31 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 290 | blk.31.ffn_up.weight | Block 31 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.31: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.31: 5.5906 bits
### Block 32 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 292 | blk.32.attn_norm.weight | Block 32 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 293 | blk.32.attn_output.weight | Block 32 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 294 | blk.32.attn_q.weight | Block 32 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 295 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 296 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 297 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 298 | blk.32.ffn_norm.weight | Block 32 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 299 | blk.32.ffn_up.weight | Block 32 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.32: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.32: 5.5011 bits
### Block 33 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 301 | blk.33.attn_norm.weight | Block 33 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 302 | blk.33.attn_output.weight | Block 33 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q6_K | 6.5625 |
| 303 | blk.33.attn_q.weight | Block 33 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 304 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 305 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 306 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 307 | blk.33.ffn_norm.weight | Block 33 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 308 | blk.33.ffn_up.weight | Block 33 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.33: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.33: 5.5906 bits
### Block 34 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 310 | blk.34.attn_norm.weight | Block 34 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 311 | blk.34.attn_output.weight | Block 34 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 312 | blk.34.attn_q.weight | Block 34 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 313 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 314 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 315 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 316 | blk.34.ffn_norm.weight | Block 34 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 317 | blk.34.ffn_up.weight | Block 34 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.34: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.34: 5.5011 bits
### Block 35 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 319 | blk.35.attn_norm.weight | Block 35 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 320 | blk.35.attn_output.weight | Block 35 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 321 | blk.35.attn_q.weight | Block 35 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 322 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 323 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 324 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 325 | blk.35.ffn_norm.weight | Block 35 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 326 | blk.35.ffn_up.weight | Block 35 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.35: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.35: 5.4800 bits
### Block 36 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 328 | blk.36.attn_norm.weight | Block 36 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 329 | blk.36.attn_output.weight | Block 36 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 330 | blk.36.attn_q.weight | Block 36 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 331 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 332 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 333 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 334 | blk.36.ffn_norm.weight | Block 36 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 335 | blk.36.ffn_up.weight | Block 36 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.36: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.36: 5.4800 bits
### Block 37 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 337 | blk.37.attn_norm.weight | Block 37 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 338 | blk.37.attn_output.weight | Block 37 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 339 | blk.37.attn_q.weight | Block 37 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 340 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 341 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 342 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 343 | blk.37.ffn_norm.weight | Block 37 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 344 | blk.37.ffn_up.weight | Block 37 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.37: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.37: 5.4800 bits
### Block 38 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q4_K | 4.5000 |
| 346 | blk.38.attn_norm.weight | Block 38 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 347 | blk.38.attn_output.weight | Block 38 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 348 | blk.38.attn_q.weight | Block 38 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 349 | blk.38.attn_v.weight | Block 38 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 350 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 351 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 352 | blk.38.ffn_norm.weight | Block 38 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 353 | blk.38.ffn_up.weight | Block 38 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.38: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.38: 5.4800 bits
### Block 39 Tensor Group : ~199M 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) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 355 | blk.39.attn_norm.weight | Block 39 Attention Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 356 | blk.39.attn_output.weight | Block 39 Attention Output (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 357 | blk.39.attn_q.weight | Block 39 Attention Query (W) | (~17M) 16777216 | 4096 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 358 | blk.39.attn_v.weight | Block 39 Attention Value (W) | ( ~4M) 4194304 | 4096 x 1024 x 1 x 1 | Q5_K | 5.5000 |
| 359 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~52M) 52428800 | 12800 x 4096 x 1 x 1 | Q5_K | 5.5000 |
| 360 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
| 361 | blk.39.ffn_norm.weight | Block 39 Feed-Forward Network Normalization (W) | ( ~4K) 4096 | 4096 x 1 x 1 x 1 | F32 | 32.0000 |
| 362 | blk.39.ffn_up.weight | Block 39 Feed-Forward Network "Up" (W) | (~52M) 52428800 | 4096 x 12800 x 1 x 1 | Q5_K | 5.5000 |
- Total elements in blk.39: (~199M) 199237632
- Percentage of total elements: 2.27%
- Bits per Weight (BPW) for blk.39: 5.5011 bits
Total BPW for granite-4.1-8b-Q5_K.gguf: 5.4999 bits