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Starling-LM-7B-alpha-GGUF

Original Model

berkeley-nest/Starling-LM-7B-alpha

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:starling-lm-7b-alpha.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:starling-lm-7b-alpha.Q5_K_M.gguf llama-chat.wasm -p openchat -r '<|end_of_turn|>'
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Starling-LM-7B-alpha-Q2_K.gguf	Q2_K	2	2.7 GB	smallest, significant quality loss - not recommended for most purposes
Starling-LM-7B-alpha-Q3_K_L.gguf	Q3_K_L	3	3.82 GB	small, substantial quality loss
Starling-LM-7B-alpha-Q3_K_M.gguf	Q3_K_M	3	3.52 GB	very small, high quality loss
Starling-LM-7B-alpha-Q3_K_S.gguf	Q3_K_S	3	3.16 GB	very small, high quality loss
Starling-LM-7B-alpha-Q4_0.gguf	Q4_0	4	4.11 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Starling-LM-7B-alpha-Q4_K_M.gguf	Q4_K_M	4	4.37 GB	medium, balanced quality - recommended
Starling-LM-7B-alpha-Q4_K_S.gguf	Q4_K_S	4	4.14 GB	small, greater quality loss
Starling-LM-7B-alpha-Q5_0.gguf	Q5_0	5	5.00 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Starling-LM-7B-alpha-Q5_K_M.gguf	Q5_K_M	5	5.13 GB	large, very low quality loss - recommended
Starling-LM-7B-alpha-Q5_K_S.gguf	Q5_K_S	5	5.00 GB	large, low quality loss - recommended
Starling-LM-7B-alpha-Q6_K.gguf	Q6_K	6	5.94 GB	very large, extremely low quality loss
Starling-LM-7B-alpha-Q8_0.gguf	Q8_0	8	7.70 GB	very large, extremely low quality loss - not recommended