---

internlm3-8b-instruct-GGUF

Original Model

internlm/internlm3-8b-instruct

Run with LlamaEdge

• LlamaEdge version: v0.16.1 and above

• Prompt template

  • Prompt type: chatml

  • Prompt string

    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    

• Context size: 128000

• Run as LlamaEdge service

  • Chat

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:internlm3-8b-instruct-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template chatml \
      --ctx-size 128000 \
      --model-name internlm3-8b-instruct
    

  • Tool use

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:internlm3-8b-instruct-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template internlm-2-tool \
      --ctx-size 128000 \
      --model-name internlm3-8b-instruct
    

• Run as LlamaEdge command app

  wasmedge --dir .:. \
    --nn-preload default:GGML:AUTO:internlm3-8b-instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 32000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
internlm3-8b-instruct-Q2_K.gguf	Q2_K	2	3.45 GB	smallest, significant quality loss - not recommended for most purposes
internlm3-8b-instruct-Q3_K_L.gguf	Q3_K_L	3	4.73 GB	small, substantial quality loss
internlm3-8b-instruct-Q3_K_M.gguf	Q3_K_M	3	4.39 GB	very small, high quality loss
internlm3-8b-instruct-Q3_K_S.gguf	Q3_K_S	3	3.99 GB	very small, high quality loss
internlm3-8b-instruct-Q4_0.gguf	Q4_0	4	5.09 GB	legacy; small, very high quality loss - prefer using Q3_K_M
internlm3-8b-instruct-Q4_K_M.gguf	Q4_K_M	4	5.36 GB	medium, balanced quality - recommended
internlm3-8b-instruct-Q4_K_S.gguf	Q4_K_S	4	5.12 GB	small, greater quality loss
internlm3-8b-instruct-Q5_0.gguf	Q5_0	5	6.13 GB	legacy; medium, balanced quality - prefer using Q4_K_M
internlm3-8b-instruct-Q5_K_M.gguf	Q5_K_M	5	6.26 GB	large, very low quality loss - recommended
internlm3-8b-instruct-Q5_K_S.gguf	Q5_K_S	5	6.13 GB	large, low quality loss - recommended
internlm3-8b-instruct-Q6_K.gguf	Q6_K	6	7.23 GB	very large, extremely low quality loss
internlm3-8b-instruct-Q8_0.gguf	Q8_0	8	9.36 GB	very large, extremely low quality loss - not recommended
internlm3-8b-instruct-f16.gguf	f16	16	17.6 GB

Quantized with llama.cpp b4497