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Meta-Llama-3.1-70B-Instruct-GGUF

Text Generation
Transformers
GGUF
PyTorch
llama
facebook
meta
llama-3
conversational
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ license: llama3.1
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+ model_name: Meta-Llama-3.1-70B-Instruct
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+ base_model: meta-llama/Meta-Llama-3.1-70B-Instruct
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+ inference: false
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+ model_creator: Meta Llama3
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+ model_type: llama
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+ pipeline_tag: text-generation
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+ quantized_by: Second State Inc.
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+ language:
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+ - en
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+ - de
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+ - fr
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+ - it
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+ - pt
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+ - hi
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+ - es
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+ - th
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+ tags:
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+ - facebook
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+ - meta
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+ - pytorch
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+ - llama
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+ - llama-3
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  ---
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+
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+ <!-- header start -->
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+ <!-- 200823 -->
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+ <div style="width: auto; margin-left: auto; margin-right: auto">
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+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+ </div>
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+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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+ <!-- header end -->
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+
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+ # Meta-Llama-3.1-70B-Instruct-GGUF
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+
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+ ## Original Model
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+
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+ [meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: [v0.8.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.8.3) and above
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+
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+ - Prompt template
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+
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+ - Prompt type: `llama-3-chat`
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+
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+ - Prompt string
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+
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+ ```text
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+ <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+ ```
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+
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+ - Context size: `128000`
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+
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+ - Run as LlamaEdge service
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf \
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+ llama-api-server.wasm \
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+ --prompt-template llama-3-chat \
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+ --ctx-size 128000 \
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+ --model-name Llama-3.1-70b
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+ ```
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+
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+ - Run as LlamaEdge command app
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf \
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+ llama-chat.wasm \
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+ --prompt-template llama-3-chat \
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+ --ctx-size 128000
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+ ```
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+
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+ ## Quantized GGUF Models
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+
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+ | Name | Quant method | Bits | Size | Use case |
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+ | ---- | ---- | ---- | ---- | ----- |
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+ | [Meta-Llama-3.1-70B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q2_K.gguf) | Q2_K | 2 | 26.4 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Meta-Llama-3.1-70B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 37.1 GB| small, substantial quality loss |
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+ | [Meta-Llama-3.1-70B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 34.3 GB| very small, high quality loss |
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+ | [Meta-Llama-3.1-70B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 30.9 GB| very small, high quality loss |
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+ | [Meta-Llama-3.1-70B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 40 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 42.5 GB| medium, balanced quality - recommended |
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+ <!-- | [Meta-Llama-3.1-70B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 48.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Meta-Llama-3.1-70B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 50 GB| large, very low quality loss - recommended |
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+ | [Meta-Llama-3.1-70B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 48.7 GB| large, low quality loss - recommended |
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+ | [Meta-Llama-3.1-70B-Instruct-Q6_K-00001-of-00002.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q6_K-00001-of-00002.gguf) | Q6_K | 6 | 32.1 GB| very large, extremely low quality loss |
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+ | [Meta-Llama-3.1-70B-Instruct-Q6_K-00002-of-00002.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q6_K-00002-of-00002.gguf) | Q6_K | 6 | 25.7 GB| very large, extremely low quality loss |
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+ | [Meta-Llama-3.1-70B-Instruct-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q8_0-00001-of-00003.gguf) | Q8_0 | 8 | 32 GB| very large, extremely low quality loss - not recommended |
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+ | [Meta-Llama-3.1-70B-Instruct-Q8_0-00002-of-00003.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q8_0-00002-of-00003.gguf) | Q8_0 | 8 | 32.1 GB| very large, extremely low quality loss - not recommended |
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+ | [Meta-Llama-3.1-70B-Instruct-Q8_0-00003-of-00003.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q8_0-00003-of-00003.gguf) | Q8_0 | 8 | 10.9 GB| very large, extremely low quality loss - not recommended |
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+ | [Meta-Llama-3.1-70B-Instruct-f16-00001-of-00005.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-f16-00001-of-00005.gguf) | f16 | 16 | 32.1 GB| |
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+ | [Meta-Llama-3.1-70B-Instruct-f16-00002-of-00005.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-f16-00002-of-00005.gguf) | f16 | 16 | 32 GB| |
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+ | [Meta-Llama-3.1-70B-Instruct-f16-00003-of-00005.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-f16-00003-of-00005.gguf) | f16 | 16 | 32 GB| |
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+ | [Meta-Llama-3.1-70B-Instruct-f16-00004-of-00005.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-f16-00004-of-00005.gguf) | f16 | 16 | 31.7 GB| |
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+ | [Meta-Llama-3.1-70B-Instruct-f16-00005-of-00005.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-f16-00005-of-00005.gguf) | f16 | 16 | 13.1 GB| | -->
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+
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+ *Quantized with llama.cpp 3445.*