The data also includes Python code for importing the necessary modules and setting up the FastLlamaModel from Unsloth. The model can be patched and fast LoRA weights can be added. The model supports any llama model and allows for customization of several parameters such as max_seq_length, dtype, and load_in_4bit. The final part of the code is for using Huggingface's Trainer and dataset loading. The code ends with a command to configure the dynamic linker run-time bindings.
Key takeaways:
- Unsloth is a tool that currently only supports Linux distributions and Pytorch version 2.1 or higher.
- The tool can be installed using conda and pip commands, and supports CUDA versions 11.8 and 12.1.
- Unsloth includes a FastLlamaModel that can be loaded with specific parameters, including sequence length, data type, and whether to use 4-bit quantization.
- The model can be patched and trained using Huggingface's Trainer and dataset loading.