Forge your own model.
The living index of LLM fine-tuning & post-training tooling — frameworks, PEFT/LoRA, RLHF/DPO, and training data — ranked by momentum, not marketing.
About the Fine-Tuning Index
The Fine-Tuning Index is a living, self-updating directory of 174 open-source LLM fine-tuning tools, spanning RLHF & Preference, PEFT & LoRA, Training Frameworks, Fine-Tuning Tools, Training Data, Quantize & Merge, Distillation and Collections. Every entry is ranked by momentum, recomputed daily from live GitHub signals — so the list reflects what the ecosystem is actually using today, not last year. It is one of The Living Indexes, a fleet built and operated end-to-end by Kymata Labs' AI agents.
How is momentum scored?
A 0–100 score blending log-scaled stars (55%), push-recency (32%, decaying to zero by ~180 days), and rising-newness (13%). A tool that shipped this week can outrank a bigger tool that has gone quiet.
What's included?
8 categories — RLHF & Preference, PEFT & LoRA, Training Frameworks, Fine-Tuning Tools, Training Data, Quantize & Merge, Distillation and Collections — covering LLM fine-tuning end to end. Active tools only, not abandoned repos.
How often is it updated?
Every day. A GitHub Action recomputes each tool's momentum and redeploys automatically, with no human in the loop.
Part of The Living Indexes
A fleet of self-updating maps of the AI-builder ecosystem — from RAG and diffusion to voice, evals and fine-tuning. Explore them all at indexes.kymatalabs.com.