allenai / text-generation updated 1 year ago

OLMoE-1B-7B-0125-Instruct

Name: OLMoE-1B-7B-0125-Instruct
Author: allenai

OLMoE-1B-7B-0125-Instruct January 2025 is post-trained variant of the OLMoE-1B-7B January 2025 model, which has undergone supervised finetuning on an OLMo-specific variant of the Tülu 3 dataset and further DPO training on this dataset, and finally RLVR training using this data. Tülu 3 is designed for state-of-the-art performance on a diversity of tasks in addition to chat, such as MATH, GSM8K, and IFEval. Check out t...

Params

6.9 B

Context

4,096

Downloads 30d

232 K

Likes

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

Download history

daily snapshots · 7 days

232 K162 K

Jul 31Aug 2Aug 4Aug 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	bf16	13.8 GB	16.8 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/olmoe-1b-7b-0125-instruct
{
  "hf_id": "allenai/OLMoE-1B-7B-0125-Instruct",
  "params_b": 6.92,
  "context_length": 4096,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 231797,
  "vram_estimates": [
    { "quant": "bf16", "gb": 16.8 }
  ],
  "updated_at": "2026-07-31T01:00:36Z"
}

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

Specifications

Architecture: OlmoeForCausalLM
Parameters: 6.9 B
Tensor type: BF16
Context length: 4,096
Vocabulary: 50,304
Layers / heads: 16 / 16
Licence: apache-2.0
First seen on the Hub: 2025-01-27
Training datasets: allenai/RLVR-GSM
Added to our catalog: 2026-07-31

Compare with

Qwen3-8B 16.3 M Qwen2.5-7B-Instruct 12.1 M Qwen3.6-35B-A3B-NVFP4 11.3 M Llama-3.1-8B-Instruct 8.0 M Qwen2.5-7B-Instruct-AWQ 4.6 M granite-4.1-8b 4.2 M

Appears in

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