HuggingFaceTB / text-generation updated 1 year ago

SmolLM2-360M

Name: SmolLM2-360M
Author: HuggingFaceTB

SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They are capable of solving a wide range of tasks while being lightweight enough to run on-device. More details in our paper: https://arxiv.org/abs/2502.02737

Params

360 M

Context

8,192

Downloads 30d

481 K

Likes

133

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 39 days

▲ 199 K in the last 30 days (70.3%)

489 K182 K

Aug 14Aug 27Sep 9Sep 21

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	0.7 GB	1.4 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/smollm2-360m
{
  "hf_id": "HuggingFaceTB/SmolLM2-360M",
  "params_b": 0.36,
  "context_length": 8192,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 481492,
  "vram_estimates": [
    { "quant": "bf16", "gb": 1.4 }
  ],
  "updated_at": "2026-08-14T01:00:40Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 360 M
Tensor type: BF16
Context length: 8,192
Vocabulary: 49,152
Layers / heads: 32 / 15
Licence: apache-2.0
First seen on the Hub: 2024-10-31
Training datasets: undisclosed
Added to our catalog: 2026-08-14

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