Unsloth
Finetune LLMs 2x faster, 80% less memory
Listed in categories:
Open SourceGitHubArtificial Intelligence


Description
Unsloth is a cutting-edge platform designed to simplify and accelerate the training of large language models (LLMs). With its innovative approach, Unsloth enables users to train custom models, such as ChatGPT, in just 24 hours, significantly reducing the time and resources typically required for such tasks. The platform boasts impressive performance metrics, including 30x faster training speeds and 90% less memory usage compared to traditional methods.
How to use Unsloth?
To use Unsloth, simply sign up for an account, choose your desired plan, and follow the documentation to start training your models. The platform provides tools and resources to guide you through the finetuning process, whether you're using a single GPU or a multi-GPU setup.
Core features of Unsloth:
1️⃣
Finetuning support for LoRA and QLoRA
2️⃣
Single and multi-GPU support
3️⃣
Optimized for NVIDIA, AMD, and Intel GPUs
4️⃣
2x faster inference
5️⃣
Open-source with community support
Why could be used Unsloth?
# | Use case | Status | |
---|---|---|---|
# 1 | Training custom AI models for specific applications | ✅ | |
# 2 | Accelerating research in natural language processing | ✅ | |
# 3 | Optimizing machine learning workloads for businesses | ✅ |
Who developed Unsloth?
Unsloth is developed by a team of experts in AI and machine learning, dedicated to making AI training more accessible and efficient for everyone. Their focus on optimizing workloads and enhancing performance sets them apart in the industry.