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Model: PhilLovesCats/LLaMA-1-13B-GGUF Source: Original Platform
2026-05-27 00:48:23 +08:00
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--- a/README.md
+++ b/README.md
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+---
+language:
+- en
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+model_name: Llama 13B
+inference: false
+model_creator: Meta Llama
+model_type: llama
+pipeline_tag: text-generation
+prompt_template: '[INST] <<SYS>>
+
+  You are a helpful, respectful and honest assistant. Always answer as helpfully as
+  possible, while being safe.  Your answers should not include any harmful, unethical,
+  racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses
+  are socially unbiased and positive in nature. If a question does not make any sense,
+  or is not factually coherent, explain why instead of answering something not correct.
+  If you don''t know the answer to a question, please don''t share false information.
+
+  <</SYS>>
+
+  {prompt}[/INST]
+
+  '
+quantized_by: PhilLovesCats
+---
+
+# LLaMA 1 13B - GGUF
+- Model creator: [Meta Llama](https://huggingface.co/meta-llama)  
+- **The 'Provided files'-section layout, as well as the metadata layout are heavily inspired from [TheBloke](https://huggingface.co/TheBloke)**  
+- **The 'License'-section, aswell as the 'LICENSE'-file are burrowed by [huggyllama](https://huggingface.co/huggyllama)**
+
+Please tell me when i have violated your copyright, so that i can remove the belonging section!
+
+
+## Description
+Due the fact that the old LLaMA (1) models are in a deprecated format and really hard to use with modern tools, i converted them using the [transformers](https://huggingface.co/docs/transformers/index) library's `convert_llama_weights_to_hf.py` script to convert them into a [PyTorch](https://pytorch.org/get-started/locally/) model.  
+
+Further i used the `convert_hf_to_gguf.py` script from [llama.cpp](https://github.com/ggml-org/llama.cpp/tree/master) and to bring them into the well-known GGUF file format. Afterwards, i've build llama.cpp and ran `llama-quantize.exe` to downscale the model files.
+
+
+## Provided files
+
+The following table only lists the quantized (`.gguf`) files (without the PyTorch (`.bin`) ones).  
+
+| Name                                                                                                                | Quant method | Bits | Size     | MD5-Hash                         | Use case                                                                  |
+|---------------------------------------------------------------------------------------------------------------------|--------------|------|----------|----------------------------------|---------------------------------------------------------------------------|
+| [llama-1-13b.TQ1_0.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.TQ1_0.gguf)    | TQ1_0        | 1    |  3.10 GB | BB2D9B5BEB7D980AA1EB94B625F816D9 | smallest, significant quality loss - not recommended for most purposes    |
+| [llama-1-13b.TQ2_0.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.TQ2_0.gguf)    | TQ2_0        | 2    |  3.65 GB | 74D4D83AB488334FAD875DD97EBCB5FB | very small, significant quality loss - not recommended for most purposes  |
+| [llama-1-13b.Q2_K.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q2_K.gguf)      | Q2_K         | 2    |  4.52 GB | 6E0108775665BBA35BE4999A3DA83B37 | very small, significant quality loss - not recommended for most purposes  |
+| [llama-1-13b.Q3_K_S.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q3_K_S.gguf)  | Q3_K_S       | 3    |  5.26 GB | 73D94231E96AA3E7F37BB766D73FF182 | very small, high quality loss                                             |
+| [llama-1-13b.Q3_K_M.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q3_K_M.gguf)  | Q3_K_M       | 3    |  5.90 GB | 8504BFC10C64316F7BAB09291A16771C | very small, high quality loss                                             |
+| [llama-1-13b.Q3_K_L.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q3_K_L.gguf)  | Q3_K_L       | 3    |  6.45 GB | 5FE671BF75A5BEAA74090F49267E3F06 | small, substantial quality loss                                           |
+| [llama-1-13b.Q4_0.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q4_0.gguf)      | Q4_0         | 4    |  6.85 GB | CE4B66B8D4F14B113F81792A25646017 | legacy; small, very high quality loss - prefer using Q3_K_M               |
+| [llama-1-13b.Q4_K_S.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q4_K_S.gguf)  | Q4_K_S       | 4    |  6.91 GB | 44EE8F65AB911C9C83658BE9EC00C52F | small, greater quality loss                                               |
+| [llama-1-13b.Q4_K_M.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q4_K_M.gguf)  | Q4_K_M       | 4    |  7.32 GB | 32A087FEAECB1DC6001E0C9AC4A011DB | medium, balanced quality - recommended                                    |
+| [llama-1-13b.Q5_0.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q5_0.gguf)      | Q5_0         | 5    |  8.35 GB | E52DFB01E0F7D93E8A69A062EAF0D476 | legacy; medium, balanced quality - prefer using Q4_K_M                    |
+| [llama-1-13b.Q5_K_S.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q5_K_S.gguf)  | Q5_K_S       | 5    |  8.35 GB | 49ADA56DE54587C08BBE0703A47CEA0C | large, low quality loss - recommended                                     |
+| [llama-1-13b.Q5_K_M.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q5_K_M.gguf)  | Q5_K_M       | 5    |  8.59 GB | 5B96E6112A19E65C554333FD127AD6C3 | large, very low quality loss - recommended                                |
+| [llama-1-13b.Q6_K.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q6_K.gguf)      | Q6_K         | 6    |  9.94 GB | A8CEF707AD9B7BD30547CF8BE197AE33 | very large, extremely low quality loss                                    |
+| [llama-1-13b.Q8_0.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.Q8_0.gguf)      | Q8_0         | 8    | 12.80 GB | 4B08E60E0F3CF1EA95111855FCA8FFF9 | very large, extremely low quality loss - not recommended                  |
+| [llama-1-13b.F16.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.F16.gguf)        | F16          | 16   | 24.20 GB | 15C88027F1ED223D05D94D26CD59EAF7 | original, no quality loss - not recommended                               |
+| [llama-1-13b.BF16.gguf](https://huggingface.co/PhilLovesCats/LLaMA-1-13B-GGUF/blob/main/llama-1-13b.BF16.gguf)      | BF16         | 16   | 24.20 GB | 656E54161D5AF6A5D4FFB4C2E65B3ED7 | original, no quality loss - not recommended                               |
+
+**Notice:** Hashes were calculated with `Get-FileHash .\FILENAME -Algorithm MD5` on Microsoft Windows 11 64-bit (x86_x64).  
+
+## License  
+
+This model is under a non-commercial license (see the LICENSE file). You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf13b_fBxjY_OjhJILlKGA/viewform) but either lost your copy of the weights or got some trouble converting them to the Transformers format.  
+
--- a/config.json
+++ b/config.json
@@ -0,0 +1,22 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.30.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.30.2"
+}
--- a/llama-1-13b.BF16.gguf
+++ b/llama-1-13b.BF16.gguf
@@ -0,0 +1,3 @@
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+size 26033303680
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+    "model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
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+    "model.layers.8.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.norm.weight": "pytorch_model-00003-of-00003.bin"
+  }
+}
--- a/special_tokens_map.json
+++ b/special_tokens_map.json
@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer.model
+++ b/tokenizer.model
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,33 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "clean_up_tokenization_spaces": false,
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}