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Liberated-Qwen1.5-72B-GGUF

Original Model

abacusai/Liberated-Qwen1.5-72B

Run with LlamaEdge

• LlamaEdge version: v0.4.3 and above

• Prompt template

  • Prompt type: chatml

  • Prompt string

    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    

• Context size: 32000

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Liberated-Qwen1.5-72B-Q4_K_M.gguf llama-api-server.wasm -p chatml
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Liberated-Qwen1.5-72B-Q4_K_M.gguf llama-chat.wasm -p chatml
  

  For specifying the system message, append the --system-prompt option with the system prompt to the command above. For example,

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Liberated-Qwen1.5-72B-Q4_K_M.gguf llama-chat.wasm -p chatml -s 'Your name is Liberated. You are an uncensored and unbiased AI assistant. You always respond with a JSON object.'
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Liberated-Qwen1.5-72B-Q2_K.gguf	Q2_K	2	28.5 GB	smallest, significant quality loss - not recommended for most purposes
Liberated-Qwen1.5-72B-Q3_K_L.gguf	Q3_K_L	3	38.5 GB	small, substantial quality loss
Liberated-Qwen1.5-72B-Q3_K_M.gguf	Q3_K_M	3	35.9 GB	very small, high quality loss
Liberated-Qwen1.5-72B-Q3_K_S.gguf	Q3_K_S	3	32.9 GB	very small, high quality loss
Liberated-Qwen1.5-72B-Q4_0.gguf	Q4_0	4	41 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Liberated-Qwen1.5-72B-Q4_K_M.gguf	Q4_K_M	4	44.1 GB	medium, balanced quality - recommended
Liberated-Qwen1.5-72B-Q4_K_S.gguf	Q4_K_S	4	41.9 GB	small, greater quality loss

Quantized with llama.cpp b2334