Product Information
What is Axolotl ai?
Axolotl is a tool designed to simplify the fine-tuning of various AI models, offering support for multiple configurations and architectures.
Features:
Train various Hugging Face models such as Llama, Pythia, Falcon, MPT
Supports Fullfinetune, Lora, Qlora, Relora, and GPTQ
Customize configurations easily using simple YAML files or CLI overrides
Load different dataset formats, use custom formats, or bring your own tokenized datasets
Integrates with Xformer, Flash Attention, Liger kernels, RoPE scaling, and multi-packing
Works with single or multiple GPUs via FSDP or DeepSpeed
Run effortlessly locally or in the cloud using Docker
Log results and optionally checkpoint with wandb or mlflow
And much more!
How to use Axolotl ai?
Axolotl AI is a tool designed to streamline the fine-tuning of various AI models, supporting multiple configurations and architectures. It offers a free, open-source framework for efficiently fine-tuning large language models (LLMs).
Core Functions of Axolotl ai
No Sign-up, No Tracking, Offline Available, Dark Mode
Usage Scenarios of Axolotl ai
- Fine-tune Huggingface models like Llama, Pythia, Falcon, and MPT.
- Use methods like FullFinetune, LoRA, QLoRA, ReLoRA, and GPTQ for model fine-tuning.
- Customize model training configurations via simple YAML files or CLI.
- Run model training on single or multi-GPU setups (via FSDP or Deepspeed).
- Easily run models locally or in the cloud via Docker.
- Conduct pre-training, instruction fine-tuning, dialogue model training, and multimodal/vision-language model and RLHF fine-tuning.
Common Questions about Axolotl ai
What does Axolotl AI do?
How do I use Axolotl AI?
What are the core features of Axolotl AI?
What are the use cases for Axolotl AI?
