This is the Linux app named AirLLM whose latest release can be downloaded as airllmsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
AirLLM
DESCRIPTION:
AirLLM is an open source Python library that enables extremely large language models to run on consumer hardware with very limited GPU memory. The project addresses one of the main barriers to local LLM experimentation by introducing a memory-efficient inference technique that loads model layers sequentially rather than storing the entire model in GPU memory. This layer-wise inference approach allows models with tens of billions of parameters to run on devices with only a few gigabytes of VRAM. AirLLM preprocesses model weights so that each transformer layer can be loaded independently during computation, reducing the memory footprint while still performing full inference. As a result, developers can experiment with models that previously required specialized high-end GPUs.
Features
- Memory-optimized inference for very large language models
- Layer-by-layer loading to minimize GPU memory usage
- Ability to run 70B-parameter models on small GPUs
- Compatibility with Hugging Face model weights
- Simple Python API for running local inference
- Support for consumer-grade hardware environments
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/airllm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.