From 393452b54ac4bdd5833cb0559b6f615c511502a9 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 30 Oct 2026 21:16:11 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: second-state/Meta-Llama-3.1-8B-Instruct-GGUF Source: Original Platform --- .gitattributes | 61 ++++++++++++++ Llama-3.1-8B-Instruct-Q2_K.gguf | 3 + Llama-3.1-8B-Instruct-Q3_K_L.gguf | 3 + Llama-3.1-8B-Instruct-Q3_K_M.gguf | 3 + Llama-3.1-8B-Instruct-Q3_K_S.gguf | 3 + Llama-3.1-8B-Instruct-Q4_0.gguf | 3 + Llama-3.1-8B-Instruct-Q4_K_M.gguf | 3 + Llama-3.1-8B-Instruct-Q4_K_S.gguf | 3 + Llama-3.1-8B-Instruct-Q5_0.gguf | 3 + Llama-3.1-8B-Instruct-Q5_K_M.gguf | 3 + Llama-3.1-8B-Instruct-Q5_K_S.gguf | 3 + Llama-3.1-8B-Instruct-Q6_K.gguf | 3 + Llama-3.1-8B-Instruct-Q8_0.gguf | 3 + 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b/README.md @@ -0,0 +1,133 @@ +--- +license: llama3.1 +model_name: Meta-Llama-3.1-8B-Instruct-GGUF +arxiv: 2307.09288 +base_model: meta-llama/Meta-Llama-3.1-8B-Instruct-GGUF +inference: false +model_creator: Meta Llama3 +model_type: llama +pipeline_tag: text-generation +quantized_by: Second State Inc. +language: +- en +- de +- fr +- it +- pt +- hi +- es +- th +tags: +- facebook +- meta +- pytorch +- llama +- llama-3 +--- + + + +
+ +
+
+ + +# Meta-Llama-3.1-8B-Instruct-GGUF + +## Original Model + +[meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) + +## Run with LlamaEdge + +- LlamaEdge version: [v0.16.5](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.16.5) and above + +- Prompt template + + - Prompt type for chat: `llama-3-chat` + + - Prompt string + + ```text + <|begin_of_text|><|start_header_id|>system<|end_header_id|> + + {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|> + + {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> + + {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|> + + {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> + ``` + + - Prompt type for tool use: `llama-3-tool` + + - Prompt string + + ```text + <|begin_of_text|><|start_header_id|>system<|end_header_id|> + + {system_message}<|eot_id|><|start_header_id|>user<|end_header_id|> + + Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt. + + Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables. + + [{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","description":"The temperature unit to use. Infer this from the users location.","enum":["celsius","fahrenheit"]}},"required":["location","unit"]}}}] + + Question: {user_message}<|eot_id|><|start_header_id|>assistant<|end_header_id|> + ``` + +- Context size: `128000` + +- Run as LlamaEdge service + + - Chat + + ```bash + wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.1-8B-Instruct-Q5_K_M.gguf \ + llama-api-server.wasm \ + --prompt-template llama-3-chat \ + --ctx-size 128000 \ + --model-name Llama-3.1-8b + ``` + + - Tool use + + ```bash + wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.1-8B-Instruct-Q5_K_M.gguf \ + llama-api-server.wasm \ + --prompt-template llama-3-tool \ + --ctx-size 128000 \ + --model-name Llama-3.1-8b + ``` + +- Run as LlamaEdge command app + + ```bash + wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.1-8B-Instruct-Q5_K_M.gguf \ + llama-chat.wasm \ + --prompt-template llama-3-chat \ + --ctx-size 128000 + ``` + +## Quantized GGUF Models + +| Name | Quant method | Bits | Size | Use case | +| ---- | ---- | ---- | ---- | ----- | +| [Llama-3.1-8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q2_K.gguf) | Q2_K | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes | +| [Llama-3.1-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss | +| [Llama-3.1-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss | +| [Llama-3.1-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss | +| [Llama-3.1-8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M | +| [Llama-3.1-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended | +| [Llama-3.1-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss | +| [Llama-3.1-8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M | +| [Llama-3.1-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended | +| [Llama-3.1-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended | +| [Llama-3.1-8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q6_K.gguf) | Q6_K | 6 | 6.6 GB| very large, extremely low quality loss | +| [Llama-3.1-8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 8.54 GB| very large, extremely low quality loss - not recommended | +| [Llama-3.1-8B-Instruct-f16.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-f16.gguf) | f16 | 16 | 16.1 GB| | + +*Quantized with llama.cpp b4466.* diff --git a/config.json b/config.json new file mode 100644 index 0000000..0bb6fd7 --- /dev/null +++ b/config.json @@ -0,0 +1,38 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": { + "factor": 8.0, + "low_freq_factor": 1.0, + "high_freq_factor": 4.0, + "original_max_position_embeddings": 8192, + "rope_type": "llama3" + }, + "rope_theta": 500000.0, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.42.3", + "use_cache": true, + "vocab_size": 128256 +} diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file