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OLMo 2 (7B)

Allen AI fully open model. Weights, data, code all public. Great for research. 3M downloads.

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Parameters
7B
Minimum RAM
8 GB
Model size
4.5 GB
Quantization
Q5_K_M

Can OLMo 2 (7B) run locally?

OLMo 2 (7B) is best suited for entry-level laptops and desktops. LocalClaw recommends Q5_K_M as the default quantization, with at least 8 GB RAM.

Search term for LM Studio or compatible runtimes: olmo2-7b-instruct

Hugging Face repository: allenai/OLMo-2-7B-Instruct-GGUF

chatstandardgeneral

Strengths

  • 100% open — weights, data, code all public
  • Apache 2.0
  • Great for research
  • 3M downloads

Limitations

  • English-only
  • Slightly behind closed-data competitors
  • Smaller community

Best use cases

  • AI research
  • Reproducible experiments
  • Education
  • General chat

Benchmarks

Speed: 8/10

Quality: 7/10

Coding: 6/10

Reasoning: 6/10

Technical details

Developer: Allen Institute for AI (AI2)

License: Apache 2.0

Context window: 131,072 tokens

Architecture: Transformer decoder-only — fully open (weights, data, code)

Released: 2025-01

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