HuggingFaceTB / text-generation updated 2 years ago

SmolLM-135M

Name: SmolLM-135M
Author: HuggingFaceTB

SmolLM is a series of state-of-the-art small language models available in three sizes: 135M, 360M, and 1.7B parameters. These models are built on Cosmo-Corpus, a meticulously curated high-quality training dataset. Cosmo-Corpus includes Cosmopedia v2 (28B tokens of synthetic textbooks and stories generated by Mixtral), Python-Edu (4B tokens of educational Python samples from The Stack), and FineWeb-Edu (220B tokens of...

Params

130 M

Context

2,048

Downloads 30d

293 K

Likes

263

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

Download history

daily snapshots · 10 days

293 K243 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	f32	0.5 GB	1.1 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/smollm-135m
{
  "hf_id": "HuggingFaceTB/SmolLM-135M",
  "params_b": 0.13,
  "context_length": 2048,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 292615,
  "vram_estimates": [
    { "quant": "f32", "gb": 1.1 }
  ],
  "updated_at": "2026-07-28T18:07:22Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 130 M
Tensor type: F32
Context length: 2,048
Vocabulary: 49,152
Layers / heads: 30 / 9
Licence: apache-2.0
First seen on the Hub: 2024-07-14
Training datasets: HuggingFaceTB/smollm-corpus
Added to our catalog: 2026-07-28

Compare with

gpt2 13.7 M Qwen2.5-0.5B-Instruct 6.6 M distilgpt2 2.6 M pythia-160m 2.5 M SmolLM2-135M-Instruct 2.0 M SmolLM2-135M 1.8 M

Appears in

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