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https://github.com/mann1x

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reacted to mlabonne's post with 👍 about 19 hours ago
Big update to llm-datasets, my curated list of datasets and tools for post-training LLMs. > Added many new datasets > New "thinking" column > Refreshed recommended tools. Thanks to everyone who told me they used it for their research at ICLR, you motivated this update!
new activity about 21 hours ago
ManniX-ITA/Qwen3.5-4B-MicroCoder-GGUF:❌ incorrect
reacted to DedeProGames's post with 🔥 about 22 hours ago
GRaPE 2 Pro is now available. https://huggingface.co/SL-AI/GRaPE-2-Pro This is the flagship model of the GRaPE 2 family and the largest model I have trained to date, sitting at 27B parameters. It is built on Qwen3.5-27B and trained on a closed-source proprietary dataset, with roughly half of post-training focused on code and the rest split between STEAM subjects and structured logical reasoning. It punches seriously above its weight class. GRaPE 2 Pro supports multimodal input (image + text) and features 6 thinking modes via the `<thinking_mode>` tag. This gives you real control over how hard the model thinks, from skipping the reasoning phase entirely with `minimal`, all the way up to `xtra-Hi` for deep, extended thought on hard problems. For most agentic use, `auto` or `low` is the move to keep things snappy. It also runs on consumer hardware. You can get it going with as low as 12GB of VRAM on a quantized build. If you want to try it out and give feedback, that would be really appreciated. Email us at `contact@skinnertopia.com`
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