SmolLM3-3B-GGUF

Original Model

HuggingFaceTB/SmolLM3-3B

Run with LlamaEdge

  • LlamaEdge version: coming soon
  • Prompt template

    • Normal chat

      • Prompt type: smol3-no-think

      • Prompt string

        <|im_start|>system
        ## Metadata
        
        Knowledge Cutoff Date: June 2025
        Today Date: 15 July 2025
        Reasoning Mode: /no_think
        
        ## Custom Instructions
        
        You are a helpful AI assistant named SmolLM, trained by Hugging Face.
        <|im_end|>
        <|im_start|>user
        {user_message_1}
        <|im_end|>
        <|im_start|>assistant
        {assistant_message_1}
        <|im_end|>
        <|im_start|>user
        {user_message_2}
        <|im_end|>
        <|im_start|>assistant
        
    • Chat with Tools

      • Prompt type: smol3-no-think

      • Prompt string

        <|im_start|>system
        ## Metadata
        
        Knowledge Cutoff Date: June 2025
        Today Date: 15 July 2025
        Reasoning Mode: /no_think
        
        ## Custom Instructions
        
        You are a helpful AI assistant named SmolLM, trained by Hugging Face.
        
        ### Tools
        
        You may call one or more functions to assist with the user query.
        You are provided with function signatures within <tools></tools> XML tags:
        
        <tools>
        {"name":"sum","description":"Calculate the sum of two numbers","parameters":{"$schema":"http://json-schema.org/draft-07/schema#","properties":{"a":{"description":"The left hand side number","format":"int32","type":"integer"},"b":{"description":"The right hand side number","format":"int32","type":"integer"}},"required":["a","b"],"title":"SumRequest","type":"object"}}
        {"name":"sub","description":"Calculate the difference of two numbers","parameters":{"$schema":"http://json-schema.org/draft-07/schema#","properties":{"a":{"description":"The left hand side number","format":"int32","type":"integer"},"b":{"description":"The right hand side number","format":"int32","type":"integer"}},"required":["a","b"],"title":"SubRequest","type":"object"}}
        {"name":"get_current_weather","description":"Get the weather for a given city","parameters":{"$schema":"http://json-schema.org/draft-07/schema#","definitions":{"TemperatureUnit":{"enum":["celsius","fahrenheit"],"type":"string"}},"properties":{"location":{"description":"the city to get the weather for, e.g., 'Beijing', 'New York', 'Tokyo'","type":"string"},"unit":{"$ref":"#/definitions/TemperatureUnit","description":"the unit to use for the temperature, e.g., 'celsius', 'fahrenheit'"}},"required":["location","unit"],"title":"GetWeatherRequest","type":"object"}}
        </tools>
        
        For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
        <tool_call>
        {"name": <function-name>, "arguments": <args-json-object>}
        </tool_call>
        
        <|im_end|>
        <|im_start|>user
        {user_message_1}
        <|im_end|>
        <|im_start|>assistant
        {assistant_message_1}
        <|im_end|>
        <|im_start|>user
        {user_message_2}
        <|im_end|>
        <|im_start|>assistant
        
    ```
    
  • Context size: 128000

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM3-3B-Q5_K_M.gguf \
      llama-api-server.wasm \
      --model-name SmolLM3-3B \
      --prompt-template smol3-no-think \
      --ctx-size 128000
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM3-3B-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template smol3-no-think \
      --ctx-size 128000
    

Quantized GGUF Models

Name Quant method Bits Size Use case
SmolLM3-3B-Q2_K.gguf Q2_K 2 1.25 GB smallest, significant quality loss - not recommended for most purposes
SmolLM3-3B-Q3_K_L.gguf Q3_K_L 3 1.69 GB small, substantial quality loss
SmolLM3-3B-Q3_K_M.gguf Q3_K_M 3 1.57 GB very small, high quality loss
SmolLM3-3B-Q3_K_S.gguf Q3_K_S 3 1.43 GB very small, high quality loss
SmolLM3-3B-Q4_0.gguf Q4_0 4 1.81 GB legacy; small, very high quality loss - prefer using Q3_K_M
SmolLM3-3B-Q4_K_M.gguf Q4_K_M 4 1.92 GB medium, balanced quality - recommended
SmolLM3-3B-Q4_K_S.gguf Q4_K_S 4 1.82 GB small, greater quality loss
SmolLM3-3B-Q5_0.gguf Q5_0 5 2.16 GB legacy; medium, balanced quality - prefer using Q4_K_M
SmolLM3-3B-Q5_K_M.gguf Q5_K_M 5 2.21 GB large, very low quality loss - recommended
SmolLM3-3B-Q5_K_S.gguf Q5_K_S 5 2.16 GB large, low quality loss - recommended
SmolLM3-3B-Q6_K.gguf Q6_K 6 2.53 GB very large, extremely low quality loss
SmolLM3-3B-Q8_0.gguf Q8_0 8 3.28 GB very large, extremely low quality loss - not recommended
SmolLM3-3B-f16.gguf f16 16 6.16 GB

Quantized with llama.cpp b5889

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smollm3
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