Every option in the catalog for when you need to train a model on your own data without a cluster — 7 AI fine-tuning and training frameworks, 7 of them free or freemium, with the pricing tier printed on every row.
Flocci AI Tools lists 7 of them, ordered free tiers first: LLaMA-Factory, AI Toolkit (Ostris), Axolotl, LitGPT and ms-swift (ModelScope). Every one of them is free or has a free tier. Each entry states what it uniquely does rather than a score.
7 on this page are marked fully free with no paid plan at all: LLaMA-Factory, AI Toolkit (Ostris), Axolotl, LitGPT and ms-swift (ModelScope). The remaining 0 are freemium, trial or paid, and each is labelled with its exact tier so nothing surprises you at sign-up.
Free tools first, then freemium, then trial, then paid, and alphabetically inside each tier. Nobody pays to appear higher: Flocci AI Tools carries no ads, no sponsored slots and no paid listings, so the order reflects price and nothing else.
LLaMA-Factory works in a browser tab with no install needed — just open the site and go. 1 of the 7 free AI fine-tuning and training frameworks listed here are browser-based.
Axolotl, LitGPT, ms-swift (ModelScope), TRL (Hugging Face) and Unsloth can be self-hosted or run locally without a browser — useful for privacy, air-gapped networks, or avoiding API rate limits. 5 of the 7 free AI fine-tuning and training frameworks here run offline.
| Tool | Pricing | Type | Listed for |
|---|---|---|---|
| LLaMA-Factory | Free | Fine-Tuning & Training Frameworks | Zero-code Web UI (LLaMA Board) for fine-tuning 100+ open models without writing training scripts |
| AI Toolkit (Ostris) | Free | Fine-Tuning & Training Frameworks | All-in-one trainer for LoRAs on diffusion and video models (FLUX, Wan and more) |
| Axolotl | Free | Fine-Tuning & Training Frameworks | Config-file-driven fine-tuning workflow (YAML) covering LoRA, QLoRA, full fine-tuning, preference tuning and RL |
| LitGPT | Free | Fine-Tuning & Training Frameworks | Clean from-scratch implementations of 20+ LLMs for pretraining, fine-tuning and deployment |
| ms-swift (ModelScope) | Free | Fine-Tuning & Training Frameworks | Fine-tuning and deployment framework supporting hundreds of LLMs and multimodal models |
| TRL (Hugging Face) | Free | Fine-Tuning & Training Frameworks | Post-training library covering SFT, DPO, GRPO and reward modeling for open LLMs |
| Unsloth | Free | Fine-Tuning & Training Frameworks | Fine-tunes LLMs, diffusion, TTS and embedding models 2x faster with ~70% less VRAM than standard Hugging Face training |