unslothai/unsloth

Choose this fork only if you specifically want the older QLoRA-focused behavior and can live without the modern Studio and inference stack. For most adopters, upstream is the safer choice because it is active and materially more complete.

Choose this fork only if you want a customized, partially pruned Unsloth branch with specific fine-tuning fixes and you can absorb the maintenance risk. If you want the full upstream Studio feature set, this looks too divergent and behind to be the safer default.

Prefer this fork only if its specific fixes or simplifications match your environment and you can tolerate losing upstream breadth. For most users who want the full Studio/training/inference platform, upstream looks safer and more complete.

Prefer upstream unless you intentionally need this fork’s older 2024-era behavior. The fork looks stale and materially behind, but it may suit users who want a narrower, historical Unsloth variant centered on Gemma2, Ollama, GGUF, and LoRA fixes.

Prefer upstream unless you specifically need this fork’s custom behavior. This fork looks like a significantly diverged, stale branch that may offer useful local customizations, but it is a poor choice for adopters who want current features, broad model support, and active maintenance.

Prefer upstream unless you specifically need this older, modified baseline. This fork looks significantly behind and is best treated as a maintenance branch for legacy compatibility, not as the default choice for new adopters.

Prefer upstream unless you specifically need this fork's older training patches or want to maintain a reduced codebase yourself. For most adopters, the staleness and feature loss outweigh any simplicity benefit.

Choose the fork only if you need its older Llama-specific behavior. For most adopters, upstream is the better default because it is active and much richer in current training, inference, and Studio workflows.

Prefer this fork if you want a more tailored Studio experience around installation, GPU handling, and export/inference workflows. Prefer upstream if you want the newest fixes, broader parity, and lower upgrade risk.