Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning
Paper • 2607.07708 • Published • 88
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When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs upvoted a paper about 1 month ago
Training Chemical Plausibility-Aware Large Language Models for Single-Step RetrosynthesisOrganizations
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When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs
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Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis
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Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning
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Retro-Expert: Collaborative Reasoning for Interpretable Retrosynthesis
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I fine-tuned a model for free from one prompt, with TRL and the Google Colab CLI
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Qwen Image Models Training - 0 to Hero Level Tutorial - LoRA & Fine Tuning - Base & Edit Model - https://youtu.be/DPX3eBTuO_Y
This is a full comprehensive step-by-step tutorial for how to train Qwen Image models. This tutorial covers how to do LoRA training and full Fine-Tuning / DreamBooth training on Qwen Image models. It covers both the Qwen Image base model and the Qwen Image Edit Plus 2509 model. This tutorial is the product of 21 days of full R&D, costing over $800 in cloud services to find the best configurations for training. Furthermore, we have developed an amazing, ultra-easy-to-use Gradio app to use the legendary Kohya Musubi Tuner trainer with ease. You will be able to train locally on your Windows computer with GPUs with as little as 6 GB of VRAM for both LoRA and Fine-Tuning. Furthermore, I have shown how to train a character (person), a product (perfume) and a style (GTA5 artworks).
Tutorial Link : https://youtu.be/DPX3eBTuO_Y
This is a full comprehensive step-by-step tutorial for how to train Qwen Image models. This tutorial covers how to do LoRA training and full Fine-Tuning / DreamBooth training on Qwen Image models. It covers both the Qwen Image base model and the Qwen Image Edit Plus 2509 model. This tutorial is the product of 21 days of full R&D, costing over $800 in cloud services to find the best configurations for training. Furthermore, we have developed an amazing, ultra-easy-to-use Gradio app to use the legendary Kohya Musubi Tuner trainer with ease. You will be able to train locally on your Windows computer with GPUs with as little as 6 GB of VRAM for both LoRA and Fine-Tuning. Furthermore, I have shown how to train a character (person), a product (perfume) and a style (GTA5 artworks).
Tutorial Link : https://youtu.be/DPX3eBTuO_Y
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