olmo
1B parameters
Commercial OK
Reviewed May 2026

OLMo 2 1B Instruct

OLMo 2 1B Instruct is AllenAI's 1-billion-parameter instruct model from the April 2025 OLMo 2 release, post-trained with RLVR on math. It is fully open: weights, training data, training code, and intermediate checkpoints are all Apache-2.0 licensed.

License: apache-2.0·Context: 4,096 tokens
BLK · VERDICT

Our verdict

OP · Fredoline Eruo|VERIFIED MAY 29, 2026
unrated

The right SLM for one audience: researchers and auditors who need a model whose training set is fully published. The only model in this list where you can answer 'what did it see during training' precisely.

Overview

OLMo 2 1B Instruct is AllenAI's 1-billion-parameter instruct model from the April 2025 OLMo 2 release, post-trained with RLVR on math. It is fully open: weights, training data, training code, and intermediate checkpoints are all Apache-2.0 licensed.

Strengths

  • Fully reproducible: data, code, weights, and checkpoints all open
  • RLVR-on-math post-training gives unusually strong arithmetic for the size
  • Apache-2.0 with no usage restrictions
  • Backed by AllenAI's stable, ongoing OLMo release cadence

Weaknesses

  • 4096-token context is the shortest of any model in this list
  • English-only — no multilingual capability worth speaking of
  • Weak on general chat compared to Qwen3-0.6B despite being larger
  • Tiny community presence outside academia (~62K downloads)

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M0.6 GB1 GB

Get the model

HuggingFace

Original weights

huggingface.co/allenai/OLMo-2-0425-1B-Instruct

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of OLMo 2 1B Instruct.

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Frequently asked

What's the minimum VRAM to run OLMo 2 1B Instruct?

1GB of VRAM is enough to run OLMo 2 1B Instruct at the Q4_K_M quantization (file size 0.6 GB). Higher-quality quantizations need more.

Can I use OLMo 2 1B Instruct commercially?

Yes — OLMo 2 1B Instruct ships under the apache-2.0, which permits commercial use. Always read the license text before deployment.

What's the context length of OLMo 2 1B Instruct?

OLMo 2 1B Instruct supports a context window of 4,096 tokens (about 4K).

Source: huggingface.co/allenai/OLMo-2-0425-1B-Instruct

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

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Before you buy

Verify OLMo 2 1B Instruct runs on your specific hardware before committing money.