HuggingFaceTB / text-generation updated 10 months ago

SmolLM3-3B

Name: SmolLM3-3B
Author: HuggingFaceTB

1. Model Summary 2. How to use 3. Evaluation 4. Training 5. Limitations 6. License

Params

3.1 B

Context

65,536

Downloads 30d

872 K

Likes

990

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 8 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

872 K806 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	6.2 GB	7.7 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 64K ctx	6.2 GB	11.0 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/smollm3-3b
{
  "hf_id": "HuggingFaceTB/SmolLM3-3B",
  "params_b": 3.08,
  "context_length": 65536,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 872073,
  "vram_estimates": [
    { "quant": "bf16", "gb": 7.7 }
  ],
  "updated_at": "2026-07-28T18:04:04Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: SmolLM3ForCausalLM
Parameters: 3.1 B
Tensor type: BF16
Context length: 65,536
Vocabulary: 128,256
Layers / heads: 36 / 16
Licence: apache-2.0
First seen on the Hub: 2025-07-08
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-8B 16.3 M Qwen2.5-1.5B-Instruct 14.0 M Qwen2.5-7B-Instruct 12.1 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M Qwen2.5-3B-Instruct 6.0 M

Appears in

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