Text Generation
Transformers
GGUF
English
llama
text-generation-inference
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SOLAR-10.7B-Instruct-v1.0-GGUF

Original Model

upstage/SOLAR-10.7B-Instruct-v1.0

Run with LlamaEdge

  • LlamaEdge version: v0.2.8 and above

  • Prompt template

    • Prompt type: solar-instruct

    • Prompt string

      \### User:
      {prompt}
      
      \### Assistant:
      

      Note that the \ character is used to escape the ### in the prompt string. Remove it in the practical use.

  • Context size: 4096

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:SOLAR-10.7B-Instruct-v1.0-Q5_K_M.gguf llama-api-server.wasm -p solar-instruct
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:SOLAR-10.7B-Instruct-v1.0-Q5_K_M.gguf llama-chat.wasm -p solar-instruct
    

Quantized GGUF Models

Name Quant method Bits Size Use case
SOLAR-10.7B-Instruct-v1.0-Q2_K.gguf Q2_K 2 4.55 GB smallest, significant quality loss - not recommended for most purposes
SOLAR-10.7B-Instruct-v1.0-Q3_K_L.gguf Q3_K_L 3 5.65 GB small, substantial quality loss
SOLAR-10.7B-Instruct-v1.0-Q3_K_M.gguf Q3_K_M 3 5.19 GB very small, high quality loss
SOLAR-10.7B-Instruct-v1.0-Q3_K_S.gguf Q3_K_S 3 4.66 GB very small, high quality loss
SOLAR-10.7B-Instruct-v1.0-Q4_0.gguf Q4_0 4 6.07 GB legacy; small, very high quality loss - prefer using Q3_K_M
SOLAR-10.7B-Instruct-v1.0-Q4_K_M.gguf Q4_K_M 4 6.46 GB medium, balanced quality - recommended
SOLAR-10.7B-Instruct-v1.0-Q4_K_S.gguf Q4_K_S 4 6.1 GB small, greater quality loss
SOLAR-10.7B-Instruct-v1.0-Q5_0.gguf Q5_0 5 7.4 GB legacy; medium, balanced quality - prefer using Q4_K_M
SOLAR-10.7B-Instruct-v1.0-Q5_K_M.gguf Q5_K_M 5 7.6 GB large, very low quality loss - recommended
SOLAR-10.7B-Instruct-v1.0-Q5_K_S.gguf Q5_K_S 5 7.4 GB large, low quality loss - recommended
SOLAR-10.7B-Instruct-v1.0-Q6_K.gguf Q6_K 6 8.81 GB very large, extremely low quality loss
SOLAR-10.7B-Instruct-v1.0-Q8_0.gguf Q8_0 8 11.4 GB very large, extremely low quality loss - not recommended
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Inference Examples
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Quantized from

Datasets used to train second-state/SOLAR-10.7B-Instruct-v1.0-GGUF