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slime

AI developer platforms

slime is an LLM post-training framework developed by THUDM, designed for scaled reinforcement learning (RL) training. By connecting Megatron with SGLang, it provides two core capabilities: high-performance training and flexible data generation, and unifies training, rollout, data buffering, reward computation, verifier feedback, and environment interaction into a single path. The framework has been used for the release training of models such as GLM-5.3-Flash, GLM-5.3, GLM-5.2, GLM-5.1, GLM-5, GLM-4.7, GLM-4.6, and GLM-4.5, while also supporting model families such as Qwen, DeepSeek, and Llama 3. The design goal of slime is to let training and data generation reinforce each other, without having to cobble together a heavy tech stack composed of fragmented trainers, rollout services, and agent frameworks. As a result, it is small in size, easy to understand and extend, and yet validated through a complete training loop.

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Slow_Thinking_with_LLMs

AI developer platforms

STILL (Slow Thinking with LLMs) is a series of technical research projects on slow-thinking reasoning systems for large language models conducted by the RUCAIBox team at Renmin University of China, with long-term exploration of o1-like reasoning systems. The project has open-sourced a large amount of code, models, training data, and evaluation benchmarks, covering directions such as reinforcement learning exploration mechanisms, tool-augmented reasoning, code-integrated reasoning, autonomous web search, and hallucination mitigation, and has released STILL-1, STILL-2, STILL-3, and multiple derivative models and benchmarks.

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smol-vision

AI developer platforms

smol-vision is an open-source collection of recipes for vision and multimodal AI models, with the goal of shrinking, optimizing, and customizing frontier models. The repository provides several runnable examples, including fine-tuning Kosmos2.5 on OCR and bounding box tasks, fine-tuning Florence-2 on document question answering tasks, and fine-tuning DINOv3 on image classification tasks. The repository is maintained by merveenoyan and is published as a GitHub repository. Because GitHub has been unable to render notebooks properly for a long time, notebooks containing rich outputs have been moved to another location, but the repository is still being continuously updated. The project's specific dependencies, installation commands, license agreement, and ways to participate are not yet provided.

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smolGPT

AI developer platforms

smolGPT is a minimalist PyTorch implementation for training small LLMs from scratch, designed for education and simplicity. It adopts a modern architecture including Flash Attention, RMSNorm, SwiGLU, RoPE, etc., supports training features such as mixed precision training, gradient accumulation, and learning rate decay, and includes built-in TinyStories dataset processing and SentencePiece tokenizer training. The project provides a pretrained model (4096 vocabulary, 8-layer Transformer, 512 embedding dimension, trained on about 4 billion tokens for 18.5 hours, validation loss 1.0491), suitable for learning the LLM training process.

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