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CodeLlama-13B-Instruct

Original Model

codellama/CodeLlama-13b-Instruct-hf

Run with LlamaEdge

  • LlamaEdge version: v0.2.8 and above

  • Prompt template

    • Prompt type: codellama-instruct

    • Prompt string

      <s>[INST] <<SYS>>
      Write code to solve the following coding problem that obeys the constraints and passes the example test cases. Please wrap your code answer using ```: <</SYS>>
      
      {prompt} [/INST]
      
  • Context size: 5120

  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:CodeLlama-13b-Instruct-hf-Q5_K_M.gguf llama-chat.wasm -p codellama-instruct
    

Quantized GGUF Models

Name Quant method Bits Size Use case
CodeLlama-13b-Instruct-hf-Q2_K.gguf Q2_K 2 5.43 GB smallest, significant quality loss - not recommended for most purposes
CodeLlama-13b-Instruct-hf-Q3_K_L.gguf Q3_K_L 3 6.93 GB small, substantial quality loss
CodeLlama-13b-Instruct-hf-Q3_K_M.gguf Q3_K_M 3 6.34 GB very small, high quality loss
CodeLlama-13b-Instruct-hf-Q3_K_S.gguf Q3_K_S 3 5.66 GB very small, high quality loss
CodeLlama-13b-Instruct-hf-Q4_0.gguf Q4_0 4 7.37 GB legacy; small, very high quality loss - prefer using Q3_K_M
CodeLlama-13b-Instruct-hf-Q4_K_M.gguf Q4_K_M 4 7.87 GB medium, balanced quality - recommended
CodeLlama-13b-Instruct-hf-Q4_K_S.gguf Q4_K_S 4 7.41 GB small, greater quality loss
CodeLlama-13b-Instruct-hf-Q5_0.gguf Q5_0 5 8.97 GB legacy; medium, balanced quality - prefer using Q4_K_M
CodeLlama-13b-Instruct-hf-Q5_K_M.gguf Q5_K_M 5 9.23 GB large, very low quality loss - recommended
CodeLlama-13b-Instruct-hf-Q5_K_S.gguf Q5_K_S 5 8.97 GB large, low quality loss - recommended
CodeLlama-13b-Instruct-hf-Q6_K.gguf Q6_K 6 10.7 GB very large, extremely low quality loss
CodeLlama-13b-Instruct-hf-Q8_0.gguf Q8_0 8 13.8 GB very large, extremely low quality loss - not recommended
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Model size
13B params
Architecture
llama

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

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