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Antonii

Apartman
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https://t.me/apartman36

AI & ML interests

Deep Learning Neural Network

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liked a model 5 days ago
Qwen/Qwen3.5-397B-A17B
reacted to mipo57's post with 👍 23 days ago
How do you train self-paying rl agents with jax? New colab that will set you up with Jaxpot is here: https://colab.research.google.com/drive/1-rm_Bh8CNaM861We97ZoicfgKxz0xOSi?usp=sharing
reacted to DedeProGames's post with 🚀 26 days 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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