HuggingFaceTB / text-generation updated 1 year ago

SmolLM2-1.7B

Name: SmolLM2-1.7B
Author: HuggingFaceTB

1. Model Summary 2. Evaluation 3. Limitations 4. Training 5. License 6. Citation

Params

1.7 B

Context

8,192

Downloads 30d

243 K

Likes

160

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

Download history

daily snapshots · 35 days

▲ 5 K in the last 30 days (2.2%)

397 K202 K

Aug 18Aug 29Sep 10Sep 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	3.4 GB	4.5 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/smollm2-1-7b
{
  "hf_id": "HuggingFaceTB/SmolLM2-1.7B",
  "params_b": 1.71,
  "context_length": 8192,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 243405,
  "vram_estimates": [
    { "quant": "bf16", "gb": 4.5 }
  ],
  "updated_at": "2026-08-18T01:00:29Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 1.7 B
Tensor type: BF16
Context length: 8,192
Vocabulary: 49,152
Layers / heads: 24 / 32
Licence: apache-2.0
First seen on the Hub: 2024-10-30
Training datasets: undisclosed
Added to our catalog: 2026-08-18

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