allenai / text-generation Open weights updated 6 months ago

Olmo-3-1025-7B

Name: Olmo-3-1025-7B
Author: allenai

We introduce Olmo 3, a new family of 7B and 32B models. This suite includes Base, Instruct, and Think variants. The Base models were trained using a staged training approach.

Params

7.3 B

Context

65,536

Downloads 30d

160 K

Likes

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

Download history

daily snapshots · 7 days

163 K154 K

Oct 19Oct 21Oct 23Oct 25

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	14.6 GB	17.7 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 64K ctx	14.6 GB	25.3 GB	❌ Won’t fit

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-3-1025-7b
{
  "hf_id": "allenai/Olmo-3-1025-7B",
  "params_b": 7.30,
  "context_length": 65536,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 159592,
  "vram_estimates": [
    { "quant": "bf16", "gb": 17.7 }
  ],
  "updated_at": "2026-10-19T01:00:13Z"
}

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

Specifications

Architecture: Olmo3ForCausalLM
Parameters: 7.3 B
Tensor type: BF16
Context length: 65,536
Vocabulary: 100,278
Layers / heads: 32 / 32
Licence: apache-2.0
First seen on the Hub: 2025-09-12
Training datasets: allenai/dolma3_mix-6T-1025
Added to our catalog: 2026-10-19

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