base_model, inference, license, model_creator, model_name, model_type, pipeline_tag, quantized_by, tags

base_model	inference	license	model_creator	model_name	model_type	pipeline_tag	quantized_by	tags
openchat/openchat_3.5	false	apache-2.0	OpenChat	OpenChat 3.5 7B	mistral	text-generation	Second State Inc.	openchat

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OpenChat-3.5-GGUF

Original Model

openchat/openchat_3.5

Run with LlamaEdge

• LlamaEdge version: v0.2.8 and above

• Prompt template

  • Prompt type: openchat

  • Prompt string

    GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:
    

  • Reverse prompt: <|end_of_turn|>

• Context size: 4096

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:openchat-3.5-0106-Q5_K_M.gguf llama-api-server.wasm -p openchat -r '<|end_of_turn|>'
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:openchat_3.5.Q5_K_M.gguf llama-chat.wasm -p openchat -r '<|end_of_turn|>'
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
openchat_3.5-Q2_K.gguf	Q2_K	2	2.72 GB	smallest, significant quality loss - not recommended for most purposes
openchat_3.5-Q3_K_L.gguf	Q3_K_L	3	3.82 GB	small, substantial quality loss
openchat_3.5-Q3_K_M.gguf	Q3_K_M	3	3.52 GB	very small, high quality loss
openchat_3.5-Q3_K_S.gguf	Q3_K_S	3	3.16 GB	very small, high quality loss
openchat_3.5-Q4_0.gguf	Q4_0	4	4.11 GB	legacy; small, very high quality loss - prefer using Q3_K_M
openchat_3.5-Q4_K_M.gguf	Q4_K_M	4	4.37 GB	medium, balanced quality - recommended
openchat_3.5-Q4_K_S.gguf	Q4_K_S	4	4.14 GB	small, greater quality loss
openchat_3.5-Q5_0.gguf	Q5_0	5	5.00 GB	legacy; medium, balanced quality - prefer using Q4_K_M
openchat_3.5-Q5_K_M.gguf	Q5_K_M	5	5.13 GB	large, very low quality loss - recommended
openchat_3.5-Q5_K_S.gguf	Q5_K_S	5	5.00 GB	large, low quality loss - recommended
openchat_3.5-Q6_K.gguf	Q6_K	6	5.94 GB	very large, extremely low quality loss
openchat_3.5-Q8_0.gguf	Q8_0	8	7.70 GB	very large, extremely low quality loss - not recommended