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Nick Colea

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reacted to danielhanchen's post with ❤️ 4 days ago
Qwen3.6 MTP is here! Run locally on 20GB RAM. ⚡️ MTP enables Qwen3.6 to generate ~1.4–2.2× faster with no accuracy change. Qwen3.6-27B: https://huggingface.co/unsloth/Qwen3.6-27B-MTP-GGUF Qwen3.6-35B-A3B: https://huggingface.co/unsloth/Qwen3.6-35B-A3B-MTP-GGUF Guide: https://unsloth.ai/docs/models/qwen3.6#mtp-guide
liked a model 5 days ago
mradermacher/GRM-2.6-Opus-i1-GGUF
reacted to spillai's post with 🔥 13 days 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.
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