This is the Windows app named dLLM whose latest release can be downloaded as dllmv0.1.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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dLLM
DESCRIPTION
dLLM is an open-source framework designed to simplify the development, training, and evaluation of diffusion-based large language models. Unlike traditional autoregressive models that generate text sequentially token by token, diffusion language models generate text through an iterative denoising process that refines masked tokens over multiple steps. This approach allows models to reason over the entire sequence simultaneously and potentially produce more coherent outputs with bidirectional context. The project provides an integrated pipeline that standardizes how diffusion language models are trained, evaluated, and deployed, helping researchers reproduce experiments and compare results more easily. The framework includes scalable training infrastructure inspired by modern deep learning toolkits and supports integrations with widely used libraries for distributed training.
Features
- Unified framework for training, inference, and evaluation of diffusion language models
- Support for distributed training frameworks such as DeepSpeed and FSDP
- Integration with modern machine learning libraries and training pipelines
- Tools for experimenting with diffusion-based text generation architectures
- Reproducible workflows for benchmarking diffusion language models
- Example implementations demonstrating diffusion-based chat and text generation
Programming Language
TypeScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/dllm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
