SmolLM3-3B-GGUF
Original Model
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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Model tree for second-state/SmolLM3-3B-GGUF
Base model
HuggingFaceTB/SmolLM3-3B-Base
Finetuned
HuggingFaceTB/SmolLM3-3B