Manic few days in open source AI, with game changing development all over the place. Here's a round up of the resources:
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Manic few days in open source AI, with game changing development all over the place. Here's a round up of the resources:
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- The science team at 
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- The science team at 
@huggingface
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huggingface
 reproduced and open source the seek r1. 
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 reproduced and open source the seek r1. 
https://github.com/huggingface/open-r1
https://github.com/huggingface/open-r1
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- 
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- 
@qwen
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qwen
 released a series of models with 1 million token context! 
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 released a series of models with 1 million token context! 
https://qwenlm.github.io/blog/qwen2.5-1m/
https://qwenlm.github.io/blog/qwen2.5-1m/
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- SmolVLM got even smaller with completely new variants at 256m and 500m 
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- SmolVLM got even smaller with completely new variants at 256m and 500m 
https://huggingface.co/blog/smolervlm
https://huggingface.co/blog/smolervlm
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There's so much you could do with these developments. Especially combining them together into agentic applications or fine-tuning them on your use case.
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There's so much you could do with these developments. Especially combining them together into agentic applications or fine-tuning them on your use case.
Manic few days in open source AI, with game changing development all over the place. Here's a round up of the resources:

- The science team at @huggingface reproduced and open source the seek r1. https://github.com/huggingface/open-r1
- @qwen released a series of models with 1 million token context! https://qwenlm.github.io/blog/qwen2.5-1m/
- SmolVLM got even smaller with completely new variants at 256m and 500m https://huggingface.co/blog/smolervlm

There's so much you could do with these developments. Especially combining them together into agentic applications or fine-tuning them on your use case.
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