SmolLM3 3B
SmolLM3 3B is an open-weight model release in the SmolLM family from Hugging Face (Smol Models Research, HuggingFaceTB)110, version SmolLM3-3B, released Jul 8, 2025. Its weights can be downloaded by the public1 under the Apache License 2.01.
SmolLM3-3B is the instruct model of Hugging Face's SmolLM3 release (July 2025), a 3B-parameter decoder-only transformer pretrained on about 11 trillion tokens of web, code, math, and reasoning data in stages, then mid-trained on reasoning data and aligned with supervised fine-tuning and Anchored Preference Optimization. It can answer with or without an extended reasoning trace, supports tool calling, and natively covers six European languages.12
- Model hub: Model card (Hugging Face) (external site: huggingface.co)
- Release notes: SmolLM3 blog post (external site: huggingface.co)
- Repository: Pretraining configs (huggingface/smollm) (external site: github.com)
- Repository: Post-training recipe (alignment-handbook) (external site: github.com)
- Model hub: Intermediate checkpoints (external site: huggingface.co)
On AI on Hugging Face: HuggingFaceTB/SmolLM3-3B, HuggingFaceTB/SmolLM3-3B-checkpoints, HuggingFaceTB/smoltalk2
Availability and license
Overall availability
Downloadable from Hugging Face without gating.1
Availability is separate from permission: read the license before using or redistributing.
Apache License 2.0 (external site: huggingface.co)1
Plain-language guide to the Apache License 2.0Apache License 2.0 (huggingface/smollm) (external site: raw.githubusercontent.com)5
Plain-language guide to the Apache License 2.0Apache License 2.0 (alignment-handbook) (external site: raw.githubusercontent.com)7
Plain-language guide to the Apache License 2.0
The post-training dataset SmolTalk2 states that its newly created subsets are Apache 2.0 and that the existing public datasets it includes keep their original licenses.9
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Unknown — no complete fact-level rights review
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Model-disclosure tier
The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| WeightsCan the general public download the model parameters for this release? | Public | Final weights are on Hugging Face without gating; intermediate checkpoints, including mid-training and SFT checkpoints, are published separately.1 |
| Inference codeIs code for running the model published? | Public | The card documents inference with Transformers v4.53.0 or later and with vLLM and SGLang, and lists quantized options for llama.cpp, ONNX, MLX, MLC, and ExecuTorch.1 |
| Training codeIs the code used to train the model published? | Public | Nanotron pretraining configs for the three stages and long-context extension are in the huggingface/smollm repository; the mid-training, SFT, and APO configs are in the alignment-handbook SmolLM3 recipe.146 |
| Training-data informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness. | Unknown | Not assessed. |
| Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable. | Unknown | Not assessed. |
| Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient. | Unknown | Not assessed. |
| Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above. | Public | The pretraining datasets are listed in a public Hugging Face collection, and the mid-training, SFT, and preference data are published as SmolTalk2. Several listed datasets are published by third parties (for example DCLM and The Stack v2) under their own terms.189 |
| Training recipeAre the training configuration and procedure documented in enough detail to follow? | Public | The blog post gives the web, code, and math proportions for each pretraining stage, the long-context extension, and the post-training stages; the configs include exact data weights.2 |
| Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only. | Public | The card reports base and instruct evaluation results run with Hugging Face's lighteval and states that evaluation configs and code are in the huggingface/smollm repository.1 |
What it is useful for
Run and use notes
- The card states the shipped config supports 65,536-token context and describes enabling YaRN rope scaling (factor 2.0) for inputs up to about 128k tokens; it recommends temperature 0.6 and top_p 0.95.1
Organization context
Provenance and derivatives
Post-trained by Hugging Face from its own SmolLM3-3B-Base, which was pretrained from scratch on public datasets. The mid-training data (NVIDIA's Llama-Nemotron post-training dataset and OpenThoughts3) contains reasoning traces, and several SmolTalk2 SFT subsets were generated with Qwen3-32B or DeepSeek-V3, so the post-training data includes outputs of third-party models.1289
- Derived from: SmolLM3-3B-Base (external site: huggingface.co) — Hugging Face base model; no separate catalog record.
- Derived from: FineWeb-Edu (subset of FineWeb) — One of the web pretraining datasets.
- Derived from: SmolTalk2 (external site: huggingface.co) — Mid-training, SFT, and preference data.
Other releases in the SmolLM family
No other releases in this family have been assessed.
What this catalog does not know
- Training-data information: unknown.
- Training-data access: unknown.
- Complete training pipeline: unknown.
Have a primary source? How to report a correction.
U.S. eligibility
Eligible · basis: U.S. headquarters
Developed and published by Hugging Face's HuggingFaceTB organization ("Hugging Face Smol Models Research"). Hugging Face's terms of service identify Hugging Face, Inc., a Delaware corporation, as the provider of its services, and its privacy policy states that the company is located in the United States. See the hugging-face organization record for the dual-country assessment.1101112
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
Share or cite this page
- X (opens X)
- Bluesky (opens Bluesky)
- LinkedIn (opens LinkedIn)
- Reddit (opens Reddit)
- Hacker News (opens Hacker News)
- Email (opens your email app)
- RSS updates
Cite this page
APA style
USASI. (2026, September 29). SmolLM3 3B. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/smollm3-3b/
BibTeX
@misc{usasi_smollm3_3b,
author = {{USASI}},
title = {SmolLM3 3B},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/smollm3-3b/}},
note = {United States of America Superintelligence. Last updated 2026-09-29}
}The date is when this page was last updated. Add the date you read it if your style needs one.
For maintainers: a “Listed in USASI” badge
Links to this page. It says the entry is listed, not endorsed or rated. About the badge
Markdown (for a README)
[](https://unitedstatesofamericasuperintelligence.com/open/smollm3-3b/)
HTML
<a href="https://unitedstatesofamericasuperintelligence.com/open/smollm3-3b/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/listed.svg" alt="Listed in the USASI catalog" height="20"></a>