OtotaO_unsloth-mcp-server
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An MCP server for Unsloth - a library that makes LLM fine-tuning 2x faster with 80% less memory.
Unsloth is a library designed to enhance the efficiency of fine-tuning large language models. It offers significant improvements in speed and memory usage, allowing for faster fine-tuning and the ability to handle larger models on consumer-grade GPUs. Unsloth supports extended context lengths and maintains model quality without performance loss. These advancements are achieved through custom CUDA kernels, optimized backpropagation, and dynamic 4-bit quantization. The library is particularly beneficial for models like Llama, Mistral, Phi, and Gemma, providing a simple API for model operations and export capabilities to various formats.
Features
- Optimize fine-tuning for Llama, Mistral, Phi, Gemma, and other models
- 4-bit quantization for efficient training
- Extended context length support
- Simple API for model loading, fine-tuning, and inference
- Export to various formats (GGUF, Hugging Face, etc.)
Tools
check_installation
Verify if Unsloth is properly installed on your system.
list_supported_models
Get a list of all models supported by Unsloth, including Llama, Mistral, Phi, and Gemma variants.
load_model
Load a pretrained model with Unsloth optimizations for faster inference and fine-tuning.
finetune_model
Fine-tune a model with Unsloth optimizations using LoRA/QLoRA techniques.
generate_text
Generate text using a fine-tuned Unsloth model.
export_model
Export a fine-tuned Unsloth model to various formats for deployment.
