mohres/LLM-SLM-Fine-tuning

This project functions as a personal reference or tutorial repository for standard fine-tuning workflows. With only 19 stars and 0 velocity over nearly 600 days, it lacks the community traction or technical differentiation to be considered a viable tool in the current ecosystem. It faces overwhelming competition from established fine-tuning frameworks like Axolotl, Unsloth, and Llama-Factory, which offer significantly more optimization (e.g., kernel-level speedups) and broader model support. Furthermore, frontier labs (OpenAI, Anthropic) and infrastructure providers (Together AI, Anyscale, Lambda Labs) have commoditized fine-tuning into managed services, making standalone script collections like this one effectively obsolete for production use cases. The project's value is purely educational for the individual creator.