moxin-chat-7b-GGUF

Original Model

moxin-org/moxin-chat-7b

Run with LlamaEdge

  • LlamaEdge version: coming soon
  • Prompt template

    • Prompt type: moxin-chat

    • Prompt string

      <s> [INST] {system_message}
      
      {user_message_1} [/INST] {assistant_message_1}</s> [INST] {user_message_2} [/INST]
      
  • Reverse prompt: [INST]

  • Context size: 32000

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:moxin-chat-7b-Q5_K_M.gguf \
      llama-api-server.wasm \
      --model-name moxin-chat-7b \
      --prompt-template moxin-chat \
      --reverse-prompt "[INST]" \
      --ctx-size 32000
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:moxin-chat-7b-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template moxin-chat \
      --reverse-prompt "[INST]" \
      --ctx-size 32000
    

Quantized GGUF Models

Name Quant method Bits Size Use case
moxin-chat-7b-Q2_K.gguf Q2_K 2 3.04 GB smallest, significant quality loss - not recommended for most purposes
moxin-chat-7b-Q3_K_L.gguf Q3_K_L 3 4.28 GB small, substantial quality loss
moxin-chat-7b-Q3_K_M.gguf Q3_K_M 3 3.94 GB very small, high quality loss
moxin-chat-7b-Q3_K_S.gguf Q3_K_S 3 3.54 GB very small, high quality loss
moxin-chat-7b-Q4_0.gguf Q4_0 4 4.60 GB legacy; small, very high quality loss - prefer using Q3_K_M
moxin-chat-7b-Q4_K_M.gguf Q4_K_M 4 4.89 GB medium, balanced quality - recommended
moxin-chat-7b-Q4_K_S.gguf Q4_K_S 4 4.63 GB small, greater quality loss
moxin-chat-7b-Q5_0.gguf Q5_0 5 5.60 GB legacy; medium, balanced quality - prefer using Q4_K_M
moxin-chat-7b-Q5_K_M.gguf Q5_K_M 5 5.75 GB large, very low quality loss - recommended
moxin-chat-7b-Q5_K_S.gguf Q5_K_S 5 5.60 GB large, low quality loss - recommended
moxin-chat-7b-Q6_K.gguf Q6_K 6 6.66 GB very large, extremely low quality loss
moxin-chat-7b-Q8_0.gguf Q8_0 8 8.62 GB very large, extremely low quality loss - not recommended
moxin-chat-7b-f16.gguf f16 16 16.2 GB

Quantized with llama.cpp b4273

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GGUF
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