---

Nemotron-Mini-4B-Instruct-GGUF

Original Model

nvidia/Nemotron-Mini-4B-Instruct

Run with LlamaEdge

• LlamaEdge version: coming soon

• Prompt template

  • Prompt type: nemotron-chat

  • Prompt string

    <extra_id_0>System
    {system_message}
    <extra_id_1>User
    {user_message_1}<extra_id_1>Assistant
    {assistant_message_1}
    <extra_id_1>User
    {user_message_2}<extra_id_1>Assistant
    {assistant_message_2}
    <extra_id_1>User
    {user_message_3}
    <extra_id_1>Assistant\n
    

    • Tool use

      <extra_id_0>System
      {system_message}
      <tool> {tool_1} </tool>
      <tool> {tool_2} </tool>
      
      
      <extra_id_1>User
      {user_message_1}<extra_id_1>Assistant
      <toolcall> {tool_call_message} </toolcall>
      <extra_id_1>Tool
      {tool_result_message}
      <extra_id_1>Assistant\n
      

• Context size: 4096

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template nemotron-chat \
    --ctx-size 4096 \
    --model-name Nemotron-Mini-4B-Instruct
  

  • Tool use

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template nemotron-tool \
      --ctx-size 4096 \
      --model-name Nemotron-Mini-4B-Instruct
    

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template nemotron-chat \
    --ctx-size 4096
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Nemotron-Mini-4B-Instruct-Q2_K.gguf	Q2_K	2	3.35 GB	smallest, significant quality loss - not recommended for most purposes
Nemotron-Mini-4B-Instruct-Q3_K_L.gguf	Q3_K_L	3	4.69 GB	small, substantial quality loss
Nemotron-Mini-4B-Instruct-Q3_K_M.gguf	Q3_K_M	3	4.32 GB	very small, high quality loss
Nemotron-Mini-4B-Instruct-Q3_K_S.gguf	Q3_K_S	3	3.90 GB	very small, high quality loss
Nemotron-Mini-4B-Instruct-Q4_0.gguf	Q4_0	4	5.04 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Nemotron-Mini-4B-Instruct-Q4_K_M.gguf	Q4_K_M	4	5.33 GB	medium, balanced quality - recommended
Nemotron-Mini-4B-Instruct-Q4_K_S.gguf	Q4_K_S	4	5.07 GB	small, greater quality loss
Nemotron-Mini-4B-Instruct-Q5_0.gguf	Q5_0	5	6.11 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Nemotron-Mini-4B-Instruct-Q5_K_M.gguf	Q5_K_M	5	6.26 GB	large, very low quality loss - recommended
Nemotron-Mini-4B-Instruct-Q5_K_S.gguf	Q5_K_S	5	6.11 GB	large, low quality loss - recommended
Nemotron-Mini-4B-Instruct-Q6_K.gguf	Q6_K	6	7.25 GB	very large, extremely low quality loss
Nemotron-Mini-4B-Instruct-Q8_0.gguf	Q8_0	8	9.38 GB	very large, extremely low quality loss - not recommended
Nemotron-Mini-4B-Instruct-f16.gguf	f16	16	17.7 GB

Quantized with llama.cpp b3751