This is the Linux app named SimpleLLM whose latest release can be downloaded as simple-llmsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
SimpleLLM
DESCRIPTION:
SimpleLLM is a minimal, extensible large language model inference engine implemented in roughly 950 lines of code, built from scratch to serve both as a learning tool and a research platform for novel inference techniques. It provides the core components of an LLM runtime—such as tokenization, batching, and asynchronous execution—without the abstraction overhead of more complex engines, making it easier for developers and researchers to understand and modify. Designed to run efficiently on high-end GPUs like NVIDIA H100 with support for models such as OpenAI/gpt-oss-120b, Simple-LLM implements continuous batching and event-driven inference loops to maximize hardware utilization and throughput. Its straightforward code structure allows anyone experimenting with custom kernels, new batching strategies, or inference optimizations to trace execution from input to output with minimal cognitive overhead.
Features
- Minimal (~950 lines) inference engine
- Asynchronous request handling
- Continuous batching for high throughput
- GPU-optimized for models like GPT-OSS-120b
- Simple, readable architecture
- Designed for research and experimentation
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/simplellm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.