Unsloth - An open-source project and startup optimizing fine-tuning efficiency for large language models.

## Overview of Unsloth Unsloth is an open-source project and startup that optimizes the fine-tuning process for large language models (LLMs) such as Llama, Mistral, and Phi-4. It aims to make AI training more accessible by improving efficiency, reducing memory usage, and maintaining model accuracy. The project offers free and paid plans, catering to individual developers and enterprises. ## Key Features of Unsloth Unsloth's key features include: - **Speed and Efficiency**: Training speeds can be up to 30x faster than benchmarks like Flash Attention 2 (FA2), with significant reductions in memory usage (up to 90%). - **GPU Compatibility**: Supports NVIDIA, AMD, and Intel GPUs, making it versatile for different hardware setups. - **Accuracy**: Optimized models do not lose accuracy; some versions (e.g., Enterprise) claim a 30% improvement. - **Community Support**: Active engagement on GitHub, Discord, and LinkedIn for user collaboration and support. ## Unsloth's Subscription Plans Unsloth provides three tiers: 1. **Free (Open-Source)**: Offers 2x faster fine-tuning on a single NVIDIA GPU, supports Mistral, Gemma, and Llama models (1, 2, 3), and includes 4-bit/16-bit LoRA optimization. 2. **Pro**: 2.5x faster than FA2, 20% less VRAM usage, and multi-GPU support (up to 8 GPUs). 3. **Enterprise**: 30x faster training, 32x speed on multi-GPU systems, 30% accuracy boost, 5x faster inference, and dedicated customer support. ## Installation and Usage of Unsloth Users can install Unsloth via: - **pip**: `pip install "unsloth[cu118] @ git+https://github.com/unslothai/unsloth.git"` (Linux/Windows). - **Google Colab/Kaggle**: Pre-configured notebooks for easy setup. Documentation covers dataset creation, fine-tuning, and deployment, available at [docs.unsloth.ai](https://docs.unsloth.ai/). ## Key Features of Unsloth Unsloth claims: - **Training Speed**: Up to 30x faster than FA2 (Enterprise), 2x faster in the free version. - **Memory Reduction**: Up to 80% less memory usage. - **Accuracy**: No loss in free version; Enterprise improves accuracy by 30%. - **Inference**: Enterprise offers 5x faster inference speeds. ## Community and Support for Unsloth Unsloth's community resources include: - **GitHub**: [github.com/unslothai](https://github.com/unslothai) (35k+ stars). - **Discord**: [discord.gg/unsloth](https://discord.com/invite/unsloth) (17k+ members). - **LinkedIn**: [linkedin.com/company/unsloth](https://www.linkedin.com/company/unsloth) (400+ followers). - **Documentation**: [docs.unsloth.ai](https://docs.unsloth.ai/). ## Overview of Unsloth Founded in 2023 and part of Y Combinator, Unsloth aims to democratize AI training by optimizing software (e.g., custom GPU kernels) to reduce hardware dependency. It serves over 8 million monthly model downloads and has 15k GitHub stars, reflecting its popularity among developers. ### Citation sources: - [Unsloth](https://unsloth.ai) - Official URL Updated: 2025-04-01