Run & Finetune DeepSeek-R1
Blog post from Unsloth
DeepSeek's new R1 model sets impressive benchmarks in reasoning performance, equaling OpenAI's o1 model and building on the previously launched DeepSeek-V3. The model has been distilled and fine-tuned on Llama 3 and Qwen 2.5, allowing users to fine-tune it with Unsloth. The R1 series includes various versions like GGUF's and a new 1.58-bit Dynamic GGUF that reduces size by 80%. Running DeepSeek-R1 requires llama.cpp, and while a GPU isn't necessary, a CPU with substantial RAM and disk space is essential. The DeepSeek team has made smaller, distilled models available for local use, and fine-tuning options are provided using compatible Llama and Qwen architectures. They also offer resources like Colab notebooks for free fine-tuning, encouraging community engagement through platforms like Reddit and Discord.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Model Fine-tuning | 5 | 862 | 147 | 71 | +81% |
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