other
3B parameters
Commercial OK
SmolLM 3 3B
HuggingFace's small-model line at 3B. Apache 2.0. Designed for edge / educational deployments.
License: Apache 2.0·Released Nov 4, 2025·Context: 32,768 tokens
Overview
HuggingFace's small-model line at 3B. Apache 2.0. Designed for edge / educational deployments.
Strengths
- Apache 2.0
- Strong reasoning per parameter at 3B
Weaknesses
- 3B ceiling
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 1.8 GB | 3 GB |
Get the model
HuggingFace
Original weights
huggingface.co/HuggingFaceTB/SmolLM3-3B
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of SmolLM 3 3B.
Compare alternatives
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Same tier
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Step up
More capable — bigger memory footprint
Step down
Smaller — faster, runs on weaker hardware
Frequently asked
What's the minimum VRAM to run SmolLM 3 3B?
3GB of VRAM is enough to run SmolLM 3 3B at the Q4_K_M quantization (file size 1.8 GB). Higher-quality quantizations need more.
Can I use SmolLM 3 3B commercially?
Yes — SmolLM 3 3B ships under the Apache 2.0, which permits commercial use. Always read the license text before deployment.
What's the context length of SmolLM 3 3B?
SmolLM 3 3B supports a context window of 32,768 tokens (about 33K).
Source: huggingface.co/HuggingFaceTB/SmolLM3-3B
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