Fine-Tune LLM Models at Scale
Fine tune any model on any hardware with any algorithm. Plus, get advanced configurability so you can get the best accuracy and performance for your business use case.
Fine-Tuning For Any Model
All the Capabilities You Need—And More
With Anyscale, you get access to the most extensive fine-tuning capabilities, including:
- Any fine-tuning technique (LoRA and full-parameter fine-tuning)
- Any learning process (Casual language modeling, instruction tuning, classification, DPO, continuous pre-training, model distillation, and more).
- Any data format
Any Open-Source Model
Use any open-source model, any framework, and any prompt format. Get out-of-the box support for popular models like LLaMA and HuggingFace models, plus custom mode for any model compatibility.
LLMForge: Out-of-the-Box Fine-Tuning ML Library
Get best-in-class fine-tuning out of the box with state of the art performance features like gradient checkpointing, mixed precision training, DeepSpeed Support, and much more.
Improved Observability
Advanced monitoring and observability, including support for logging frameworks like W&B. Use Anyscale's Ray dashboard, complete with loggers, to easily debug and monitor the training process.
Powerful, Easy-to-Use Fine-Tuning at Scale
Single-Turn, Multi-Turn Chat
with LLMForge
LoRA Fine-Tuning
with LLMForge
Full-Parameter Fine-Tuning
with LLMForge
Continued Fine-Tuning
with LLMForge
Classification Tuning
with LLMForge
Preference Tuning
with LLMForge
Continued Pre-Training
with LLMForge
Custom Hugging Face Models
with LLMForge
Model Distillation
with LLMForge
Experiment Tracking Integrations (Weights and Biases, MLflow, etc)
with LLMForge
Control Over Hyperparameters
with LLMForge
Control Over Hardware
with LLMForge
Full Data Control
with LLMForge
| | with LLMForge | |
|---|---|---|---|
Single-Turn, Multi-Turn Chat | – | | with LLMForge |
LoRA Fine-Tuning | Limited | Limited | with LLMForge |
Full-Parameter Fine-Tuning | Limited | Limited | with LLMForge |
Continued Fine-Tuning | Limited | | with LLMForge |
Classification Tuning | – | – | with LLMForge |
Preference Tuning | – | – | with LLMForge |
Continued Pre-Training | | – | with LLMForge |
Custom Hugging Face Models | – | – | with LLMForge |
Model Distillation | – | – | with LLMForge |
Experiment Tracking Integrations (Weights and Biases, MLflow, etc) | | Limited | with LLMForge |
Control Over Hyperparameters | Limited | Limited | with LLMForge |
Control Over Hardware | – | – | with LLMForge |
Full Data Control | Limited | – | with LLMForge |
Simplified Hardware Usage
Rather than waiting for rare, expensive hardware to become available, Anyscale’s LLMForge includes a quick-start option that automatically picks the right configurations for you based on your dataset statistics.
Work with Any Model
Choose and customize your own model. Anyscale offers out-of-the-box support for any model available on HuggingFace, and extensive APIs for other models. Then, fine-tune your model your way with flexible task support, support for multi-stage continuous fine-tuning, and more.
Effortlessly Move From Fine-Tuning to Deployment
Don’t just fine-tune models—use them. With an extensive model registry library and a models SDK, it’s easy to move from fine-tuning to serving. Anyscale’s LLMForge slots slots in seamlessly with other Ray libraries like Ray LLM (for LLM inference), so you can effortlessly run online and batch inference.
“We have no ceiling on scale, and an incredible opportunity to bring AI features and value to our 170 million users.”
Greg Roodt
ML Lead, Canva
Out-of-the-Box Templates & App Accelerators
Jumpstart your development process with custom-made templates, only available on Anyscale.
End-to-End LLM Workflows
Execute end-to-end LLM workflows to develop and productionize LLMs at scale
Fine-Tune LLMs
Full-parameter or LoRA fine-tuning for Llama-3 and Mistral models.
Fine-Tune Stable Diffusion
Fine-tune a personalized Stable Diffusion XL model with Ray Train
FAQs
Yes, Anyscale is built to be your AI/ML compute platform and it supports a variety of use cases, including the entire end-to-end LLM process.
Fine-Tuning That’s Better Than Fine
Anyscale is the best place to fine-tune an LLM model. With support for all type of fine-tuning, you can achieve the exact model outcome you want—only with Anyscale.