openai-community / text-generation updated 2 years ago

gpt2-xl

Name: gpt2-xl
Author: openai-community

- Model Details - How To Get Started With the Model - Uses - Risks, Limitations and Biases - Training - Evaluation - Environmental Impact - Technical Specifications - Citation Information - Model Card Authors

Params

1.6 B

Context

—

Downloads 30d

160 K

Likes

380

Commercial use: allowed mit Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

165 K160 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	6.4 GB	7.8 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/gpt2-xl
{
  "hf_id": "openai-community/gpt2-xl",
  "params_b": 1.61,
  "context_length": null,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 159722,
  "vram_estimates": [
    { "quant": "f32", "gb": 7.8 }
  ],
  "updated_at": "2026-07-28T18:08:52Z"
}

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

Specifications

Architecture: GPT2LMHeadModel
Parameters: 1.6 B
Tensor type: F32
Vocabulary: 50,257
Licence: mit
First seen on the Hub: 2022-03-02
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-0.6B 29.7 M Qwen2.5-1.5B-Instruct 14.0 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M Qwen2.5-3B-Instruct 6.0 M Qwen2-1.5B-Instruct 3.2 M

Appears in

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