Reasoning

Check exact model cardOpen weights where releasedUpdated August 2026

Qwen2.5 Math 72B

Qwen2.5 Math 72B is a Qwen-family model positioned for math and reasoning-oriented evaluation.

Alibaba Qwen · Qwen

Editorial review

Reviewed byOpenSourcesAI EditorialLast updatedAugust 2026SourcesHugging Face model card (Qwen/Qwen2.5-Math-72B)

Model checkpoints, context windows, provider support, local runtime compatibility, and license terms can change quickly. Verify the exact model card before production or commercial use.

Best for

Math-heavy prompts, reasoning tests, and educational workflow evaluation.

Who should use it

  • Math-heavy prompts, reasoning tests, and educational workflow evaluation.
  • Builders who want local or self-hosted testing options.

Common workflows

  • Math and reasoning workflows
  • math workflows
  • reasoning workflows
  • open weights workflows

Deployment and hardware notes

Local hardware needs vary by size, quantization, and runtime. Check the exact model card and serving stack.

License and usage notes

Check exact model card. Open weights where released. Verify the exact model card and license terms for the checkpoint or hosted provider you use.

Strengths

  • Open weights where released model option for Qwen workflows.
  • Math-heavy prompts, reasoning tests, and educational workflow evaluation.
  • Use the exact checkpoint and quantization that matches your hardware and latency target.

Limitations

  • Verify license, deployment requirements, runtime support, and fit on your own workload before production use.
  • Local hardware needs vary by size, quantization, and runtime. Check the exact model card and serving stack.
  • Context window and limits: 4,096 tokens.
  • Verify the exact model card, provider docs, license, and serving support before production use.

Local workflow notes

Use the exact checkpoint and quantization that matches your hardware and latency target.

Local runtimes: Ollama where supported, LM Studio where supported, llama.cpp where supported, Transformers

Platforms: Windows, macOS, Linux

Sources to verify

Hugging Face model card (Qwen/Qwen2.5-Math-72B)

Related resources

Continue with model source notes, local tools, and implementation guides related to this model.

Qwen family hubModel selection guideFrontier vs open-weight contextLocal coding assistant stackAI tools directory
Hardware~44.1 GB at Q4_K_M (72.7B parameters)RuntimeOllama or LM Studio where supported, llama.cpp, Transformers, vLLMContext4,096 tokensLast updated2026
Hugging Face model card (Qwen/Qwen2.5-Math-72B) →

Model ecosystem connections

Use these next-step links to move from this profile into related tools, comparisons, guides, stacks, and curated shortlists.

Recommended runtimes and tools

Ollama →LM Studio →llama.cpp →Transformers →vLLM →

Setup and deployment

Check if this model fits your GPU →What can 12GB VRAM run? →What is quantization? GGUF, Q4, Q8 explained →What is VRAM and how much do you need? →

Related model pages

Qwen family hub →Qwen2.5 VL →Qwen2 VL →Qwen3 14B →DeepSeek R1 →DeepSeek R1 Distill Llama 70B →Qwen2.5 32B →

Guides, stacks, and comparisons

Model selection guide →Frontier vs open-weight context →Local coding assistant stack →All model comparisons →

Related models

Qwen2.5 VLVision-language assistants, document images, and multimodal agent workflows.Qwen2 VLVision-language baseline comparisons and multimodal prototypes.Qwen3 14BMultilingual chat, assistant workflows, and Qwen-family comparisons.DeepSeek R1Reasoning experiments, coding workflows, and evaluating open reasoning models against closed alternatives.DeepSeek R1 Distill Llama 70BReasoning experiments, local-friendly evaluation, and distilled model comparisons.Qwen2.5 32B32B open-weight model in the Qwen family.

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