Best AI tools for lora adapters
5 tools in the Fine-tuning category, filtered to lora adapters.
Unsloth
Fine-tuning · Llama, Mistral, Gemma, Qwen, GLM (multi-model)
8.2
Open-source LLM fine-tuning toolkit with custom kernels that train 2-30x faster and use up to 90% less VRAM.
Freemium· Free open-source; Pro and Enterprise contact saleslora-finetuningqlora
Fireworks AI
Fine-tuning · Multi-model (DeepSeek, Qwen, GLM, Kimi, Gemma, Minimax, others)
7.9
Production inference and fine-tuning platform for open-source LLMs, tuned for speed and enterprise economics.
Freemium· Free signup credits; pay-per-token from ~$0.14/M in; enterprise reserved capacity on requestllm-fine-tuningserverless-inference
LLaMA Factory
Fine-tuning · Multi-model (LLaMA, Mistral, Qwen, Gemma, Phi, LLaVA, ChatGLM, Yi)
7.2
Open-source, no-code WebUI for fine-tuning 100+ open LLMs with LoRA, QLoRA, DPO, and PPO.
Free· Free, open-source (Apache-2.0); self-hostedlora-fine-tuningqlora
Colossal-AI
Fine-tuning · Framework-agnostic; used with LLaMA, GPT, Stable Diffusion, ViT, and other PyTorch-based open-weight models
Making large AI models cheaper, faster, and more accessible through distributed training
Free· Open-source (Apache 2.0). Enterprise support, consulting, and managed training services available from HPC-AI Technology on request.LLM pretraining across multi-node GPU clustersFull-parameter and LoRA fine-tuning of open-weight LLMs
Language Model Builder
Fine-tuning · In-house small transformer models trained by the user; exports to safetensors
Learn how LLMs work by building one on your Mac
Free· Free macOS download. No account, subscription, or fees. Mac App Store version listed as coming soon.Learn transformer internals hands-onPre-train a small language model locally