Speed, cost and the ability to run offline on a personal device are the things I care most about I still don't have a great answer for how to best evaluate these things but I'm researching that at the moment
OPEN SOURCE
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Implementation Discovery of Speed Enhancement Through EvoSDXL-JP Model Merging
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Wow, this is amazing! I tried to download a model from HuggingFace and run it, but CUDA ran out of memory. That's odd, so I looked at the contents of the .py file and found that it appears to be implemented as "Download 4 ingredient models and merge synthesize EvoSDXL-JP on your end"…! So you can actually achieve speed enhancement just by merging…! x.com/iwiwi/status/1…
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LLaMA 3 Context Window Doubled to 16K Tokens Open-Source
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I've doubled LLaMA 3's context window to 16K tokens. Fully open-source. Link in thread:
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LLaMA 3 Context Window Extended to 16K Tokens Open-Source
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I've doubled LLaMA 3's context window to 16K tokens. Fully open-source. Link in thread:
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LLaMA 3 Context Window Doubled to 16K Tokens
By
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I've doubled LLaMA 3's context window to 16K tokens. Fully open-source. Link in thread:
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LLaMA 3 Context Window Doubled to 16K Tokens
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I've doubled LLaMA 3's context window to 16K tokens. Fully open-source. Link in thread:
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ICLR Features Hugging Face Demo Platform for AI Models
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ICLR blog: https://
blog.iclr.cc/2024/04/22/hug
ging-face-demo-site/
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Hugging Face Demo Site for ICLR Conference Paper Submissions
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Hugging Face is hosting a demo site for @iclr_conf authors to find and claim their papers and discuss those papers on dedicated pages The page includes all accepted papers, along with linked datasets, models, and demos
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Lean Copilot Automates Over 80% of Mathematical Proof Steps
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We have now posted an expanded version of our Lean Co-pilot paper and updated the code base. https://
arxiv.org/abs/2404.12534 https://
github.com/lean-dojo/Lean
Copilot
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The credit goes to @p_song1 for driving this effort.
Our latest experiments show that our co-pilot can automate >80% of the proof steps