Olmo-3-Think-AIO-GGUF

Olmo-3-32B-Think and Olmo-3-7B-Think are fully open-source dense language models from the Allen Institute for AI, designed for transparent step-by-step reasoning and agentic AI research with inspectable intermediate thought traces. Both models belong to the Olmo 3 family, which features Base, Instruct, and Think variants at the 7B and 32B scales, offering dense transformer architectures optimized for efficient training and long-context processing (up to 65,000 tokens for 32B). The Think models are post-trained to surface explicit reasoning chains, making them ideal for tasks requiring explanation, formal problem decomposition, math reasoning, code generation, and reinforcement learning research. Olmo-3-32B-Think leads open 32B-scale models on benchmarks for reasoning, math, and code, matching or exceeding top models like Qwen3-32B and Gemini-327B, while Olmo-3-7B-Think brings similar transparency and performance to a more hardware-friendly size with efficient long-context support, ensuring broad accessibility for both advanced research and practical deployment scenarios.

Olmo-3-32B-Think [GGUF]

Olmo-3-7B-Think [GGUF]

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):