Tag: deployment instructions
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Hacker News: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon
Source URL: https://community.amd.com/t5/ai/experience-the-deepseek-r1-distilled-reasoning-models-on-amd/ba-p/740593 Source: Hacker News Title: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the DeepSeek R1 model, a newly developed reasoning model in the realm of large language models (LLMs). It highlights its unique ability to perform…
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Hacker News: A step-by-step guide on deploying DeepSeek-R1 671B locally
Source URL: https://snowkylin.github.io/blogs/a-note-on-deepseek-r1.html Source: Hacker News Title: A step-by-step guide on deploying DeepSeek-R1 671B locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed guide for deploying DeepSeek R1 671B AI models locally using ollama, including hardware requirements, installation steps, and observations on model performance. This information is particularly relevant…
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Hacker News: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens
Source URL: https://qwenlm.github.io/blog/qwen2.5-1m/ Source: Hacker News Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reports on the new release of the open-source Qwen2.5-1M models, capable of processing up to one million tokens, significantly improving inference speed and model performance…