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Capability of Qwen3.6-27B with 50% less thinking tokens on average, and over 90% less in best cases. Achieved via finetuning Qwen3.6-27B (Qwen Team, 2026) with state-of-the-art algorithms on a curated set of problems...
another i2i adetailer and reactor merger. used DENlucahjade and DENdariaromaneta for the look
Works best at 0.75 weight.
For a convenient overview and download list, visit our model page for this model.
This repository contains a pretrained VideoMAEv2-giant model fine-tuned for the Nexar Safe Driving Video Analysis competition. The model is designed to predict collision and near-miss risks in driving videos.
If you need a custom LoRA, feel free to DM me on CivitAI. I'll reply as soon as I see your message!
ONNX export of google/siglip2-large-patch16-384 — the image and text towers as two separate ONNX files, sharing a tokenizer.
