Text Generation
Transformers
GGUF
English
llama
text-generation-inference
Edit model card

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

      <s> ### User:
      {user_message}
      
      \### Assistant:
      {assistant_message}</s>
      

      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
Downloads last month
345
GGUF
Model size
10.7B params
Architecture
llama
Inference Examples
Inference API (serverless) has been turned off for this model.

Quantized from

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