DeepSeek-R1 and Exploring DeepSeek-R1-Distill-Llama-8B
DeepSeek, a Chinese AI lab, has launched its R1 model and derived models for tasks like math and coding, open-sourced under MIT, with some licensing concerns and known limitations.
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DeepSeek, a Chinese AI lab, has released its R1 model and a suite of derived models, including DeepSeek-R1-Zero and DeepSeek-R1, which are designed for various tasks such as math, code, and reasoning. The models are open-sourced under an MIT license, although there are concerns about compatibility with the underlying licenses of the Llama models they are based on. The DeepSeek-R1-Zero model is over 650GB and has known issues like repetition and readability. In contrast, DeepSeek-R1 incorporates cold-start data and performs comparably to OpenAI's models. Additionally, several distilled models based on Llama and Qwen architectures have been released, including DeepSeek-R1-Distill-Llama-8B. Users can experiment with these models through platforms like Ollama and DeepSeek's API. The author shares experiences running the models, including generating jokes and SVG images, highlighting the interesting reasoning process behind the outputs, even if the final results are not always satisfactory. The article also notes the availability of these models for broader research and experimentation.
- DeepSeek has released its R1 model and several derived models for various AI tasks.
- The models are open-sourced under an MIT license, raising licensing compatibility questions.
- DeepSeek-R1 performs comparably to OpenAI's models, while DeepSeek-R1-Zero has known limitations.
- Distilled models based on Llama and Qwen architectures are also available for experimentation.
- Users can access the models through platforms like Ollama and DeepSeek's API for research purposes.
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