Official DeepSeek R1 Now on Ollama (ollama.com)

Screenshot of ollama.com: Official DeepSeek R1 Now on Ollama

First screen, captured 1 year ago.

Looks similar

Screenshot of github.com: DeepInfer: High-performance inference framework for DeepSeek models

DeepInfer: High-performance inference framework for DeepSeek models (github.com)

2273 points by ggcr 6 days ago | 890 comments

GitHub repository for DeepInfer, DeepSeek's open-source high-performance, large-scale inference framework for DeepSeek models.

deepseek llm-inference inference-framework open-source

Screenshot of ollama.com: Gemma3 – The current strongest model that fits on a single GPU

Gemma3 – The current strongest model that fits on a single GPU (ollama.com)

212 points by brylie 1 year ago | 86 comments

Screenshot of deepseek.com: DeepSeek v2.5 – open-source LLM comparable to GPT-4, but 95% less expensive

DeepSeek v2.5 – open-source LLM comparable to GPT-4, but 95% less expensive (deepseek.com)

149 points by jchook 2 years ago | 41 comments

DeepSeek-V3 (github.com)

21 points by mgt19937 1 year ago | 5 comments

Screenshot of github.com: DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling (github.com)

381 points by mfiguiere 1 year ago | 65 comments

GitHub repository for DeepSeek's DeepGEMM, a library of clean and efficient FP8 GEMM kernels with fine-grained scaling, released under the MIT license.

deepseek fp8 gemm cuda

Screenshot of github.com: DeepSeekMath 7B achieved 51.7% on MATH benchmark

DeepSeekMath 7B achieved 51.7% on MATH benchmark (github.com)

90 points by mdp 2 years ago | 34 comments

Looks similar

DeepInfer: High-performance inference framework for DeepSeek models(github.com)

Gemma3 – The current strongest model that fits on a single GPU(ollama.com)

DeepSeek v2.5 – open-source LLM comparable to GPT-4, but 95% less expensive(deepseek.com)

DeepSeek-V3(github.com)

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling(github.com)

DeepSeekMath 7B achieved 51.7% on MATH benchmark(github.com)