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Wizard-Vicuna-13B-Uncensored-GGUF

Original Model

cognitivecomputations/Wizard-Vicuna-13B-Uncensored

Run with LlamaEdge

• LlamaEdge version: v0.2.8 and above

• Prompt template

  • Prompt type: vicuna-1.0-chat

  • Prompt string

    {system} USER: {prompt} ASSISTANT:
    

• Context size: 5120

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Wizard-Vicuna-13B-Uncensored-Q5_K_M.gguf llama-api-server.wasm -p vicuna-1.0-chat
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Wizard-Vicuna-13B-Uncensored-Q5_K_M.gguf llama-chat.wasm -p vicuna-1.0-chat
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Wizard-Vicuna-13B-Uncensored-Q2_K.gguf	Q2_K	2	4.85 GB	smallest, significant quality loss - not recommended for most purposes
Wizard-Vicuna-13B-Uncensored-Q3_K_L.gguf	Q3_K_L	3	6.93 GB	small, substantial quality loss
Wizard-Vicuna-13B-Uncensored-Q3_K_M.gguf	Q3_K_M	3	6.34 GB	very small, high quality loss
Wizard-Vicuna-13B-Uncensored-Q3_K_S.gguf	Q3_K_S	3	5.66 GB	very small, high quality loss
Wizard-Vicuna-13B-Uncensored-Q4_0.gguf	Q4_0	4	7.37 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Wizard-Vicuna-13B-Uncensored-Q4_K_M.gguf	Q4_K_M	4	7.87 GB	medium, balanced quality - recommended
Wizard-Vicuna-13B-Uncensored-Q4_K_S.gguf	Q4_K_S	4	7.42 GB	small, greater quality loss
Wizard-Vicuna-13B-Uncensored-Q5_0.gguf	Q5_0	5	8.97 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Wizard-Vicuna-13B-Uncensored-Q5_K_M.gguf	Q5_K_M	5	9.23 GB	large, very low quality loss - recommended
Wizard-Vicuna-13B-Uncensored-Q5_K_S.gguf	Q5_K_S	5	8.97 GB	large, low quality loss - recommended
Wizard-Vicuna-13B-Uncensored-Q6_K.gguf	Q6_K	6	10.7 GB	very large, extremely low quality loss
Wizard-Vicuna-13B-Uncensored-Q8_0.gguf	Q8_0	8	13.8 GB	very large, extremely low quality loss - not recommended