allenai / text-generation updated 1 year ago

OLMo-2-0425-1B

Name: OLMo-2-0425-1B
Author: allenai

We introduce OLMo 2 1B, the smallest model in the OLMo 2 family. OLMo 2 was pre-trained on OLMo-mix-1124 and uses Dolmino-mix-1124 for mid-training.

Params

1.5 B

Context

4,096

Downloads 30d

618 K

Likes

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

Download history

daily snapshots · 10 days

618 K468 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	5.9 GB	7.3 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/olmo-2-0425-1b
{
  "hf_id": "allenai/OLMo-2-0425-1B",
  "params_b": 1.48,
  "context_length": 4096,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 618480,
  "vram_estimates": [
    { "quant": "f32", "gb": 7.3 }
  ],
  "updated_at": "2026-07-28T18:05:28Z"
}

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

Specifications

Architecture: Olmo2ForCausalLM
Parameters: 1.5 B
Tensor type: F32
Context length: 4,096
Vocabulary: 100,352
Layers / heads: 16 / 16
Licence: apache-2.0
First seen on the Hub: 2025-04-17
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 gemma-3-1b-it 4.7 M Qwen2-1.5B-Instruct 3.2 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB