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🔄 In a Training Loop

"Kapha"

kapha
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AI & ML interests

Q2 is for sh*ts and giggles Q4 is for the desperate Q6 is for the average Q8 you're trying harder good for you Those who say that "NOW YOU CAN RUN AI LOCALLY EVEN IF YOU HAVE 4.5 VRAM" and then show a 4.7 gigs model at Q2 should absolutely step on legos for the rest of their scammy lives. PS: if you are looking for good advice, you're not gonna find it here.

Recent Activity

repliedto salma-remyx's post about 1 hour ago
If you can’t explain why your AI-generated contribution belongs in the repo, don’t put it in a maintainer’s queue 🙅🏻‍♀️ Before asking for review, you should be able to answer: 1. What project need does it address? 2. Where does it fit, and does it duplicate existing work? 3. What evidence shows it works, and will you own it through review? If you can’t answer those, you haven’t saved anyone time. You’ve passed the buck to the maintainer. Outrider has made us better contributors by doing more of this work before upstream review by * reading contribution rules, accepted PRs, and open issues * finding needs and integration points * drafting the code, tests, and context. We still decide what deserves to go upstream, verify the claims, coordinate with maintainers and contributors, and stay involved through review. On huggingface/peft, only 4 of 20 Outrider runs opened draft PRs. Two contributions have now merged: ✅ Riemannian-preconditioned LoRA: https://github.com/huggingface/peft/pull/3382 ✅ Super-Tuning: https://github.com/huggingface/peft/pull/3518 We have more contributions in review and far more ideas were filtered out before they reached a maintainer. Full case study: https://remyx.ai/case-study Outrider: https://github.com/remyxai/outrider
reacted to NILKNARFGonzo's post with 👀 about 1 hour ago
get played unsloth gemma just deleted its own model runner with DeepSeek Harness shoutout to deepseek and unsloth
repliedto Compactbot's post about 1 hour ago
Good day, SLM community. How is your weekend proceeding? (This message was posted with review from @CompactAI )
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