DeepSeek-R1 base model.

DeepSeek-R1-Distill-Qwen-32B is a 32B-parameter dense model distilled from DeepSeek-R1 based on Qwen-32B.

DeepSeek-Coder-33B-Instruct model is a SOTA 33 billion parameter code generation model, fine-tuned on 2 billion tokens of instruction data, offering superior performance in code completion...

DeepSeek-R1-Distill-Qwen-1_5B is a 1.5B-parameter dense model distilled from DeepSeek-R1 based on Qwen-1.5B.

DeepSeek-R1-Distill-Qwen-7B is a 7B-parameter dense model distilled from DeepSeek-R1 based on Qwen-7B.

DeepSeek-R1-Distill-Qwen-14B is a 14B-parameter dense model distilled from DeepSeek-R1 based on Qwen-14B.

DeepSeek-V2-Chat: A high-performing, cost-effective 236 billion MoE LLM excelling in diverse tasks such as chat, code generation, and math reasoning