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Llama-2-7B-Chat-GGUF

Original Model

meta-llama/Llama-2-7b-chat-hf

Run with LlamaEdge

  • LlamaEdge version: v0.2.8 and above

  • Prompt template

    • Prompt type: llama-2-chat

    • Prompt string

      <s>[INST] <<SYS>>
      {{ system_prompt }}
      <</SYS>>
      
      {{ user_msg_1 }} [/INST] {{ model_answer_1 }} </s><s>[INST] {{ user_msg_2 }}   [/INST]
      
  • Context size: 4096

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-2-7b-chat-hf-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template llama-2-chat \
      --ctx-size 4096 \
      --model-name llama-2-7b-chat
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-2-7b-chat-hf-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template llama-2-chat \
      --ctx-size 4096
    

Quantized GGUF Models

Name Quant method Bits Size Use case
Llama-2-7b-chat-hf-Q2_K.gguf Q2_K 2 2.83 GB smallest, significant quality loss - not recommended for most purposes
Llama-2-7b-chat-hf-Q3_K_L.gguf Q3_K_L 3 3.6 GB small, substantial quality loss
Llama-2-7b-chat-hf-Q3_K_M.gguf Q3_K_M 3 3.3 GB very small, high quality loss
Llama-2-7b-chat-hf-Q3_K_S.gguf Q3_K_S 3 2.95 GB very small, high quality loss
Llama-2-7b-chat-hf-Q4_0.gguf Q4_0 4 3.83 GB legacy; small, very high quality loss - prefer using Q3_K_M
Llama-2-7b-chat-hf-Q4_K_M.gguf Q4_K_M 4 4.08 GB medium, balanced quality - recommended
Llama-2-7b-chat-hf-Q4_K_S.gguf Q4_K_S 4 3.86 GB small, greater quality loss
Llama-2-7b-chat-hf-Q5_0.gguf Q5_0 5 4.65 GB legacy; medium, balanced quality - prefer using Q4_K_M
Llama-2-7b-chat-hf-Q5_K_M.gguf Q5_K_M 5 4.78 GB large, very low quality loss - recommended
Llama-2-7b-chat-hf-Q5_K_S.gguf Q5_K_S 5 4.65 GB large, low quality loss - recommended
Llama-2-7b-chat-hf-Q6_K.gguf Q6_K 6 5.53 GB very large, extremely low quality loss
Llama-2-7b-chat-hf-Q8_0.gguf Q8_0 8 7.16 GB very large, extremely low quality loss - not recommended
Llama-2-7b-chat-hf-f16.gguf f16 16 13.5 GB
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Model size
6.74B params
Architecture
llama

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Inference Examples
Inference API (serverless) has been turned off for this model.

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