This is an experimental Stable Diffusion 1.5 distillation model that uses the v-prediction flow matching method and geometric guided adaptive block weighting technology. It is currently in the research phase, the training is ongoing, and the results have not been verified.

Computer VisionDiffusers

xLSTM-7b-Instruct is an experimental fine-tuned version based on NX-AI/xLSTM-7b, specifically optimized for instruction-following tasks. This model adds support for chat templates and uses TRL for supervised fine-tuning training, aiming to provide a better conversational interaction experience.

Natural Language ProcessingTransformers

Magistral-Small-2506-Vision is an inference fine-tuned version based on Mistral Small 3.1 with GRPO training, an experimental checkpoint with visual capabilities.

MultimodalSafetensorsMultiple Languages

This is an experimental small reasoning model designed to run on 8GiB consumer-grade GPUs with general inference capabilities. Through supervised fine-tuning (SFT) and high-quality reasoning trajectory training, the model can generalize its reasoning abilities to multiple tasks.

Natural Language ProcessingGguf

This is an experimental model that has not undergone complete training and is mainly used for research purposes. It is created through model fusion technology and requires a specific repair process to restore normal functionality.

Natural Language ProcessingTransformers

Mistroll-7B-v2.2 is a text generation model developed based on Unsloth and the Huggingface TRL library, achieving 2x training speed. This model is an experimental project aimed at testing and perfecting the research framework for training and evaluation pipelines, with a focus on optimizing data engineering, architecture efficiency, and evaluation performance.

Natural Language ProcessingTransformersMultiple Languages

An experimental AI model developed through cutting-edge training methods, focusing on optimizing continuous learning and knowledge absorption capabilities

Natural Language ProcessingTransformersEnglish

This is a copy of a small random weight model based on the GPT-2 architecture, mainly used for testing and development purposes. The model parameters are randomly initialized and have not undergone large-scale training, making it suitable for model architecture verification and experimental research.

Natural Language ProcessingTransformers

This is an experimental model with unspecified purposes and functionalities. A memory error occurred during training, requiring a restart at 100,000 steps.

Natural Language ProcessingJax