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Dolphin-2.7-mixtral-8x7b-GGUF

Original Model

cognitivecomputations/dolphin-2.7-mixtral-8x7b

Run with LlamaEdge

• LlamaEdge version: v0.2.8 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: 4096

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2.7-mixtral-8x7b-Q5_K_M.gguf llama-api-server.wasm -p chatml
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2.7-mixtral-8x7b-Q5_K_M.gguf llama-chat.wasm -p chatml
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
dolphin-2.7-mixtral-8x7b-Q2_K.gguf	Q2_K	2	15.6 GB	smallest, significant quality loss - not recommended for most purposes
dolphin-2.7-mixtral-8x7b-Q3_K_L.gguf	Q3_K_L	3	20.4 GB	small, substantial quality loss
dolphin-2.7-mixtral-8x7b-Q3_K_M.gguf	Q3_K_M	3	20.4 GB	very small, high quality loss
dolphin-2.7-mixtral-8x7b-Q3_K_S.gguf	Q3_K_S	3	20.3 GB	very small, high quality loss
dolphin-2.7-mixtral-8x7b-Q4_0.gguf	Q4_0	4	26.4 GB	legacy; small, very high quality loss - prefer using Q3_K_M
dolphin-2.7-mixtral-8x7b-Q4_K_M.gguf	Q4_K_M	4	26.4 GB	medium, balanced quality - recommended
dolphin-2.7-mixtral-8x7b-Q4_K_S.gguf	Q4_K_S	4	26.4 GB	small, greater quality loss
dolphin-2.7-mixtral-8x7b-Q5_0.gguf	Q5_0	5	32.2 GB	legacy; medium, balanced quality - prefer using Q4_K_M
dolphin-2.7-mixtral-8x7b-Q5_K_M.gguf	Q5_K_M	5	32.2 GB	large, very low quality loss - recommended
dolphin-2.7-mixtral-8x7b-Q5_K_S.gguf	Q5_K_S	5	32.2 GB	large, low quality loss - recommended
dolphin-2.7-mixtral-8x7b-Q6_K.gguf	Q6_K	6	38.4 GB	very large, extremely low quality loss
dolphin-2.7-mixtral-8x7b-Q8_0.gguf	Q8_0	8	49.6 GB	very large, extremely low quality loss - not recommended