What You Get
2-5x faster LoRA and QLoRA fine-tuning with 70% less VRAM using Unsloth optimizations.
Features
- Automatic kernel optimization for your GPU
- 4-bit quantized training with no quality loss
- Support for Llama, Mistral, Phi, Gemma architectures
- GGUF export for llama.cpp deployment
- Gradient checkpointing and flash attention
- Free tier compatible (Google Colab T4 GPU)
Requirements
- Hermes Agent or OpenClaw v2.0+
- NVIDIA GPU with 8GB+ VRAM
Installation
hermes skills install unsloth-fast-training
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