Edit model card

WizardCoder-Python-7B-v1.0-GGUF

Original Model

WizardLM/WizardCoder-Python-7b-V1.0

Run with LlamaEdge

  • LlamaEdge version: v0.2.8 and above

  • Prompt template

    • Prompt type: wizard-coder

    • Prompt string

      Below is an instruction that describes a task. Write a response that appropriately completes the request.
      
      \### Instruction:
      {instruction}
      
      \### Response:
      

      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:WizardCoder-Python-7B-V1.0-Q5_K_M.gguf llama-api-server.wasm -p wizard-coder
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:WizardCoder-Python-7B-V1.0-Q5_K_M.gguf llama-chat.wasm -p wizard-coder -s 'Below is an instruction that describes a task. Write a response that appropriately completes the request.'
    

Quantized GGUF Models

Name Quant method Bits Size Use case
WizardCoder-Python-7B-V1.0-Q2_K.gguf Q2_K 2 2.53 GB smallest, significant quality loss - not recommended for most purposes
WizardCoder-Python-7B-V1.0-Q3_K_L.gguf Q3_K_L 3 3.60 GB small, substantial quality loss
WizardCoder-Python-7B-V1.0-Q3_K_M.gguf Q3_K_M 3 3.30 GB very small, high quality loss
WizardCoder-Python-7B-V1.0-Q3_K_S.gguf Q3_K_S 3 2.95 GB very small, high quality loss
WizardCoder-Python-7B-V1.0-Q4_0.gguf Q4_0 4 3.83 GB legacy; small, very high quality loss - prefer using Q3_K_M
WizardCoder-Python-7B-V1.0-Q4_K_M.gguf Q4_K_M 4 4.08 GB medium, balanced quality - recommended
WizardCoder-Python-7B-V1.0-Q4_K_S.gguf Q4_K_S 4 3.86 GB small, greater quality loss
WizardCoder-Python-7B-V1.0-Q5_0.gguf Q5_0 5 4.65 GB legacy; medium, balanced quality - prefer using Q4_K_M
WizardCoder-Python-7B-V1.0-Q5_K_M.gguf Q5_K_M 5 4.78 GB large, very low quality loss - recommended
WizardCoder-Python-7B-V1.0-Q5_K_S.gguf Q5_K_S 5 4.65 GB large, low quality loss - recommended
WizardCoder-Python-7B-V1.0-Q6_K.gguf Q6_K 6 5.53 GB very large, extremely low quality loss
WizardCoder-Python-7B-V1.0-Q8_0.gguf Q8_0 8 7.16 GB very large, extremely low quality loss - not recommended
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GGUF
Model size
6.74B params
Architecture
llama

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Inference Examples
Inference API (serverless) has been turned off for this model.