Fine-Tuning & Training FrameworksfreeNew

AI Toolkit (Ostris)

All-in-one trainer for LoRAs on diffusion and video models (FLUX, Wan and more)

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What AI Toolkit (Ostris) does

  • All-in-one trainer for LoRAs on diffusion and video models (FLUX, Wan and more)
  • Web UI and config-file workflows, runs on consumer GPUs
  • MIT licensed

AI Toolkit (Ostris) — straight answers

What is AI Toolkit (Ostris)?

AI Toolkit (Ostris) is listed under Fine-Tuning & Training Frameworks, in the AI Models & Local Execution category on Flocci AI Tools. All-in-one trainer for LoRAs on diffusion and video models (FLUX, Wan and more). It is free, with no paid plan attached, and it lives at github.com.

Is AI Toolkit (Ostris) free?

AI Toolkit (Ostris) is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 399 entries on Flocci AI Tools with no upgrade path built in.

What can AI Toolkit (Ostris) do?

AI Toolkit (Ostris) does 3 things the catalog singles out: All-in-one trainer for loras on diffusion and video models (flux, wan and more); web ui and config-file workflows, runs on consumer gpus; mit licensed.

What is the best free alternative to AI Toolkit (Ostris)?

Axolotl is the closest free alternative: it sits in the same Fine-Tuning & Training Frameworks sub-category and is free. LitGPT, LLaMA-Factory and ms-swift (ModelScope) also start free. The full list is on the alternatives page.

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AI Toolkit (Ostris) alternatives

Compare all alternatives →

Unsloth

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  • Fine-tunes LLMs, diffusion, TTS and embedding models 2x faster with ~70% less VRAM than standard Hugging Face training
  • Free Google Colab notebooks let anyone fine-tune open models like Llama/Qwen/GLM on a free T4 GPU
  • Supports LoRA, QLoRA, full fine-tuning, GRPO and DPO reinforcement/preference tuning in one library
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Axolotl

Fine-Tuning & Training Frameworks
free
  • Config-file-driven fine-tuning workflow (YAML) covering LoRA, QLoRA, full fine-tuning, preference tuning and RL
  • Broad multi-model and multimodal training support with GPU-efficiency optimizations built in
  • Popular choice for reproducible post-training recipes shared across the open-model community
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LLaMA-Factory

Fine-Tuning & Training Frameworks
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  • Zero-code Web UI (LLaMA Board) for fine-tuning 100+ open models without writing training scripts
  • Supports full-tuning, LoRA, 2/3/4/5/6/8-bit QLoRA, DPO, PPO, GaLore and PiSSA in one framework
  • Used internally by Amazon, NVIDIA and Aliyun for open-model post-training
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TRL (Hugging Face)

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  • Post-training library covering SFT, DPO, GRPO and reward modeling for open LLMs
  • Integrates with Transformers, PEFT and vLLM
  • Apache-2.0
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ms-swift (ModelScope)

Fine-Tuning & Training Frameworks
freeNew
  • Fine-tuning and deployment framework supporting hundreds of LLMs and multimodal models
  • LoRA, full-parameter, DPO, GRPO and quantization in one toolkit
  • Apache-2.0, maintained by Alibaba's ModelScope community
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LitGPT

Fine-Tuning & Training Frameworks
freeNew
  • Clean from-scratch implementations of 20+ LLMs for pretraining, fine-tuning and deployment
  • YAML recipes with LoRA, QLoRA and FSDP
  • Apache-2.0
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Head-to-head comparisons

AI Toolkit (Ostris) vs UnslothAI Toolkit (Ostris) vs AxolotlAI Toolkit (Ostris) vs LLaMA-FactoryAI Toolkit (Ostris) vs TRL (Hugging Face)AI Toolkit (Ostris) vs ms-swift (ModelScope)AI Toolkit (Ostris) vs LitGPT