EleutherAI / text-generation updated 2 years ago

gpt-neo-125m

Name: gpt-neo-125m
Author: EleutherAI

GPT-Neo 125M is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 125M represents the number of parameters of this particular pre-trained model.

Params

150 M

Context

2,048

Downloads 30d

350 K

Likes

228

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

Download history

daily snapshots · 10 days

352 K326 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/gpt-neo-125m
{
  "hf_id": "EleutherAI/gpt-neo-125m",
  "params_b": 0.15,
  "context_length": 2048,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 350047,
  "vram_estimates": [
    { "quant": "f32", "gb": 1.1 }
  ],
  "updated_at": "2026-07-28T18:06:19Z"
}

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

Specifications

Architecture: GPTNeoForCausalLM
Parameters: 150 M
Tensor type: F32
Context length: 2,048
Vocabulary: 50,257
Licence: mit
First seen on the Hub: 2022-03-02
Training datasets: EleutherAI/pile
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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