This is the Linux app named Tunix whose latest release can be downloaded as Tunixv0.1.3--JAX0.8andnewQwen_Llama3modelsupportsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Tunix with OnWorks for free.
请按照以下说明运行此应用程序：
- 1. 在您的 PC 中下载此应用程序。
- 2. 在我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX 中输入您想要的用户名。
- 3. 在这样的文件管理器中上传这个应用程序。
- 4. 从此网站启动OnWorks Linux online 或Windows online emulator 或MACOS online emulator。
- 5. 从您刚刚启动的 OnWorks Linux 操作系统，使用您想要的用户名转到我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX。
- 6. 下载应用程序，安装并运行。
SCREENSHOTS
Ad
图尼克斯
商品描述
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. Examples and reference configs demonstrate end-to-end runs for common model families, helping teams reproduce baselines before customizing. Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. Overall it aims to shorten the path from an off-the-shelf base model to a well-aligned, task-ready model using scalable JAX primitives.
功能
- Supervised fine-tuning, RL-style alignment, and distillation pipelines
- JAX-first design with jit/pmap for GPUs and TPUs
- Modular components for data, rollout, optimization, and eval
- Example configs and scripts for quick, reproducible baselines
- Built-in logging, checkpointing, and metric tracking
- Flax/NNX-friendly APIs that are easy to extend for research
程式语言
Python
分类
This is an application that can also be fetched from https://sourceforge.net/projects/tunix.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
