LoongForge-A high-performance training framework for LLM, VLM, VLA, Wan
A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. - GitHub - baidu-baige/LoongForge: A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs.
LoongForge-A high-performance training framework for LLM, VLM, VLA, Wan launched on May 21, 2026 with 10 votes, #1,220 of 20,538 launches that month and more than 90% of that year's launches.
In plain words
LoongForge is a high-performance training framework designed for large language models, vision language models, vision language action models, and multimodal systems. It is intended for researchers and engineers who need to train and develop advanced AI models at scale. The framework focuses on delivering optimized performance for complex model architectures and training workflows.
written from the facts on this page · September 2026
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LoongForgeMay 2026 · baidu-baige.github.io · ▲1VLDA: learning compact Deltas as actionable transition interfaces for robotic manipulation. 98.5% average on LIBERO; zero-shot 84.5% on LIBERO-Plus and 62.9% on RoboTwin 2.0 hard tasks, and 17–18 points ahead of π0.5 on real robots, trained with LoongForge.
Tiny-vLLM – high performance LLM inference engine in C++ and CUDAMay 2026 · github.com · ▲205Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM - jmaczan/tiny-vllm
TensorZero2025 · github.com · ▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
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ChainForge, a visual tool for prompt engineering and LLM evaluation2023 · chainforge.ai · ▲177Hi HN! We’re been working hard on this low-code tool for rapid prompt discovery, robustness testing and LLM evaluation. We’ve just released documentation to help new users learn how to use it and what it can already do. Let us know what you think! :)
80% faster, 50% less memory, 0% loss of accuracy Llama finetuning2023 · github.com · ▲385Hi HN! I'm just sharing a project I've been working on during the LLM Efficiency Challenge - you can now finetune Llama with QLoRA 5x faster than Huggingface's original implementation on your own local GPU. Some highlights: 1. Manual autograd engine - hand derived backprop steps. 2. QLoRA / LoRA 80% faster, 50% less memory. 3. All kernels written in OpenAI's Triton language. 4. 0% loss in accuracy - no approximation methods - all exact. 5. No change of hardware necessary. Supports NVIDIA GPUs since 2018+. CUDA 7.5+. 6. Flash Attention support via Xformers. 7. Supports 4bit and 16bit…
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