sdas86.bsky.social
Running local models on a Mac and writing down what actually works.
👤 Joined on 25 July 2026
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@sdas86.bsky.socialColGrep-Agent-2B a local open agent that you can pop into Claude Code or whatever to get cheap local search ColGrep: multivector code search ColGrep-Agent: navigates ColGrep and reads files to find things quicker & cheaper huggingface.co/blog/lighton...
Show PostThe second tutorial in the MLX series focuses on setting up an MLX server on a Mac and running an LLM locally👇🏼 theaiops.substack.com/p/getting-st... #llm #ai #mlx
Show PostI have this deep suspicion of RL finetunes of small models that is hard to shake. The models are just so bad, how can you finetune them to do a task reliably
Show PostI can tell you from hands on experimenting that you absolutely can make an LLM design software using a fractal module approach with appropriate boundary testing, and you can do human-centered design and evaluation of the functioning of LLM-generated modules in unbounded contexts—it’s a choice not to
Show Postdemolishing my intuitions, llama.cpp only gets 8-10t/s for a 4bit 27b while bitsandbytes + transformers gets me 27t/s. what. why
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