#opensource

Updated list of open LLMs you can use commercially. Handy when picking a model for a client project.

Multiple model sizes, powering products across Meta. The open-vs-closed debate keeps heating up.

MathBench leaderboard flipped again. The open-source gap is closing faster than expected.

Visual node editor for agent pipelines with live tracing. MIT licensed, would love feedback.

CSV of prompts → JSONL of responses + scores. 100 lines of Go. Maybe useful for your eval pipeline.

Two months in, no regrets so far. Working on an open agent framework and living off savings. The open source ecosystem is chaotic but the pace is addictive. Happy to answer questions about the leap, money, or what I actually do all day.

Weights are up on the hub. The 8B with the new tokenizer is suspiciously good at tool calling for its size. Fine-tuning on our internal data took 6 hours on a single H100. If you need a cheap default for agents, this is hard to beat.

Been dumping notes, highlights, and bookmarks into a local RAG setup for two years. Search is instant and surprisingly good. Open-sourced the whole thing so it's reproducible. Warning: your old notes are more embarrassing than you remember.

We were copy-pasting prompts into git and it was chaos. This tool stores prompts as versioned files, diffs them, and can push to any provider. Early days but it's been useful for our team of 4.

A million is a milestone but browsing the hub feels like a thrift store now. Half of it is LoRA checkpoints of the same 3 base models. Still, the community momentum is real and the downloads stats are wild. Long live the open ecosystem.