DeepSeek-R1

github.com · Open Weight Models

Open source

#7 in Open Weight Models

Open reasoning model trained with large scale reinforcement learning, released with distilled smaller versions and an MIT licence.

#open-weights#reasoning#rl#deepseek

DeepSeek-R1 is one of 20 open weight model tools on Axiomi. See all open weight model tools or how we check facts.

// guides

Guides that cover DeepSeek-R1

LLM Distillation vs Quantization: Key Differences
LLM distillation vs quantization: distillation trains a smaller student model, quantization stores the same weights in fewer bits. When to use each, or both.
How to Run DeepSeek Locally with Ollama
Run DeepSeek Locally with Ollama: pick R1 distill tags by download size, set context length, handle thinking output, and know when 671B V3 is server only.
Open Source LLM Models to Run Locally
Open source LLM models to run locally: match Qwen3, Gemma 4, gpt-oss and DeepSeek R1 distill tags to your VRAM, with Ollama setup and licence caveats.
GRPO vs PPO: How LLM RL Training Differs
GRPO vs PPO explained simply: how each trains LLMs with rewards, why GRPO drops the critic, what DAPO and Dr. GRPO changed, and when to pick GRPO, PPO or DPO.

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