Dominick Wirzba's picture

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Dominick Wirzba

Chronuid

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dominick-wirzba-a46898115

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reacted to spillai's post with 🔥 about 6 hours ago

mm-ctx – fast, multimodal context for agents. LLM-based agents handle text incredibly well, but images, videos, or PDFs with visual content are hard to interpret. mm-ctx gives your CLI agent multi-modal skills. Try it interactively in Spaces: https://huggingface.co/spaces/vlm-run/mm-ctx Readme: https://vlm-run.github.io/mm/ PyPI: https://pypi.org/project/mm-ctx SKILL.md: https://github.com/vlm-run/skills/blob/main/skills/mm-cli-skill/SKILL.md mm-ctx is meant to feel familiar: the UNIX tools we already love (find/cat/grep/wc), rebuilt for file types LLMs can't read natively and designed to work with agents via the CLI. - mm grep "invoice #1234" ~/Downloads searches across PDFs and returns line-numbered matches - mm cat <document>.pdf returns a metadata description of the file - mm cat <photo>.jpg returns a caption of the photo - mm cat <video>.mp4 returns a caption of the video A few things we obsessed over: ⚡ Speed: Rust core for the hot paths 🏠 Local-first, BYO model: Uses any OpenAI-compatible endpoint: Ollama, vLLM/SGLang, LMStudio with any multimodal LLM (Gemma4, Qwen3.5, GLM-4.6V). 🔗 Composable: stdin + structured outputs 🤖 Drops into any agent via mm-cli-skills: Claude Code, Codex, Gemini CLI, OpenClaw. We’d love to hear your feedback! Especially on the CLI and what file types and workflows you would like to see next.

reacted to sergiopaniego's post with 🚀 4 days ago

OpenEnv is growing fast in tutorials. If you're looking to get started with RL environments, check them out > evaluate your agents using OpenEnv > learn how rewards work via rubrics > connect agents via MCP > many moreeeee! anything you think it's missing? https://meta-pytorch.org/OpenEnv/tutorials/index.html

reacted to danielhanchen's post with 🔥 4 days ago

We collaborated with NVIDIA to teach you how we made LLM training ~25% faster! 🚀 Learn how 3 optimizations help your home GPU train models faster: 1. Packed-sequence metadata caching 2. Double-buffered checkpoint reloads 3. Faster MoE routing Guide: https://unsloth.ai/blog/nvidia-collab GitHub: https://github.com/unslothai/unsloth

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