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autotrain-advanced

AI developer platforms

AutoTrain Advanced is a no-code machine learning model training and deployment tool launched by Hugging Face. Users only need to upload data in the correct format and can train models by clicking through the interface. The project is currently no longer maintained, and the official recommendation is to switch to Axolotl, TRL, or transformers.Trainer. AutoTrain itself is free; payment is required only for the resources used when running it on Hugging Face Spaces, while running it locally incurs only the cost of your own infrastructure. It supports use on Colab, Hugging Face Spaces, or locally through the UI, configuration files, and the command line, and requires Python 3.10 or above.

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Awaker2.5-R1

AI developer platforms

Awaker2.5-R1 is a multimodal large model developed by Metabrain AGI, based on Qwen2.5-VL-7B. Through the GRPO algorithm and rule-based rewards, it achieves stable training of complex reasoning and long-chain thinking capabilities. The project was trained on a dataset of 50,000 mathematical geometry reasoning examples, enhancing the mathematical reasoning ability of Qwen2.5-VL-7B and achieving performance on MathVista close to OpenAI's o1 model. This repository provides model weight downloads, inference code examples, and training process explanations.

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Awesome-LLM-Strawberry

AI developer platforms

Awesome-LLM-Strawberry is a collection of research materials centered on OpenAI o1 (codename Strawberry) and LLM reasoning technology, hosted on GitHub. This repository gathers a large number of papers, blogs, and projects related to reasoning models, and states that it will be continuously updated to track the frontier of LLM reasoning. The content is organized by topic, covering official introductions and technical reports for models such as OpenAI o1/o3, Gemini 2.0 Flash Thinking, DeepSeek R1, the Qwen series, and Kimi reasoning models, as well as papers and engineering practices in directions such as RL (reinforcement learning) training, inference scaling, process reward models, and test-time compute. It is not itself runnable software or a framework, but rather an aggregated resource index, suitable for researchers, engineers, and readers interested in reasoning models to look up original materials by following the clues.

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