deepseek-ai/DeepSeek-R1

Health v2 · maintenance only

Adoption not part of the score

92038 stars · 11702 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

DeepSeek-R1 is a family of open-weight large language models trained with large-scale reinforcement learning for reasoning, including DeepSeek-R1-Zero, DeepSeek-R1, and six distilled dense models based on Llama and Qwen. The repository provides model weights, usage recommendations, and evaluation details for running the models locally or via API.

Use cases

• run a reasoning llm locally
• download open-weight reasoning model weights
• solve math and coding problems with an open model
• fine-tune or build on distilled reasoning models
• compare open models against OpenAI o1
• self-host a chat model with strong reasoning

When to choose

• you need an open-weight model with strong math, code, and reasoning performance
• you want to study or reproduce RL-based reasoning training
• you need smaller distilled models that run on modest hardware

When to avoid

• you need a ready-made application or chat UI rather than model weights
• you lack the GPU resources to run large models locally
• you need multimodal capabilities beyond text reasoning

Facets

library · maturity active

llm-inference machine-learning deep-learning llm-training large-language-models artificial-intelligence deep-learning reinforcement-learning python cross-platform reasoning-model open-weights reinforcement-learning distilled-models chain-of-thought gpu linux

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markdown · JSON · MCP: product_card(name="deepseek-ai/DeepSeek-R1")