FINE TUNING
Default Port: 8888Minimum 24GB VRAMBest Cloud GPU Providers for Unsloth 5x Faster LoRA
Unsloth provides hand-crafted Triton GPU kernels that accelerate LLM fine-tuning by up to 5x while slashing VRAM consumption by 70%. Train custom adapters on affordable single GPUs.
Verified 1-Click Cloud Launchers for Unsloth 5x Faster LoRA
Click to launch directly with pre-installed CUDA drivers, PyTorch, and template weights
Direct Docker Run Command
pip install --no-deps unsloth "xformers<0.0.28" trl peft accelerate bitsandbytes
python -m unsloth.train --model meta-llama/Llama-3.1-8B-InstructDeployment Best Practices & Gotchas:
- Requires modern CUDA 12.1+ and PyTorch 2.4+ drivers.
- Can fine-tune an 8B model with 16k context on a single 24GB RTX 4090.
- Export checkpoints directly to Hugging Face or GGUF format for instant deployment.
Recommended GPU Hardware for Unsloth 5x Faster LoRA
To achieve reliable throughput without running into CUDA Out of Memory (OOM) errors, we recommend deploying on one of the following verified GPU models:
RTX 4090 (24GB)A100 SXM (80GB)H100 (80GB)