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OrionStar-Yi-34B-Chat-Llama-GGUF

Original Model

OrionStarAI/OrionStar-Yi-34B-Chat-Llama

Run with LlamaEdge

• LlamaEdge version: v0.2.9 and above

• Prompt template

  • Prompt type: human-assistant

  • Prompt string

    Human: {input_1}\n\nAssistant:{output_1}Human: {input_2}\n\nAssistant:
    

• Context size: 7168

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:OrionStar-Yi-34B-Chat-Llama-Q5_K_M.gguf llama-api-server.wasm -p human-assistant
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:OrionStar-Yi-34B-Chat-Llama-Q5_K_M.gguf llama-chat.wasm -p human-assistant
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
OrionStar-Yi-34B-Chat-Llama-Q2_K.gguf	Q2_K	2	12.8 GB	smallest, significant quality loss - not recommended for most purposes
OrionStar-Yi-34B-Chat-Llama-Q3_K_L.gguf	Q3_K_L	3	18.1 GB	small, substantial quality loss
OrionStar-Yi-34B-Chat-Llama-Q3_K_M.gguf	Q3_K_M	3	16.7 GB	very small, high quality loss
OrionStar-Yi-34B-Chat-Llama-Q3_K_S.gguf	Q3_K_S	3	15.0 GB	very small, high quality loss
OrionStar-Yi-34B-Chat-Llama-Q4_0.gguf	Q4_0	4	19.5 GB	legacy; small, very high quality loss - prefer using Q3_K_M
OrionStar-Yi-34B-Chat-Llama-Q4_K_M.gguf	Q4_K_M	4	20.7 GB	medium, balanced quality - recommended
OrionStar-Yi-34B-Chat-Llama-Q4_K_S.gguf	Q4_K_S	4	19.6 GB	small, greater quality loss
OrionStar-Yi-34B-Chat-Llama-Q5_0.gguf	Q5_0	5	23.7 GB	legacy; medium, balanced quality - prefer using Q4_K_M
OrionStar-Yi-34B-Chat-Llama-Q5_K_M.gguf	Q5_K_M	5	24.3 GB	large, very low quality loss - recommended
OrionStar-Yi-34B-Chat-Llama-Q5_K_S.gguf	Q5_K_S	5	23.7 GB	large, low quality loss - recommended
OrionStar-Yi-34B-Chat-Llama-Q6_K.gguf	Q6_K	6	28.2 GB	very large, extremely low quality loss
OrionStar-Yi-34B-Chat-Llama-Q8_0.gguf	Q8_0	8	36.5 GB	very large, extremely low quality loss - not recommended