Unsloth
Fast, memory-efficient LLM finetuning
Unsloth is an open-source library that accelerates large language model finetuning while reducing memory usage. It lets users train and adapt models on a single consumer GPU and export them for self-hosted serving.
Key features
- 2x faster finetuning
- Lower VRAM usage
- Single-GPU training
- Export for local serving
Strengths
- Released under the Apache-2.0 license
- Mature project with 69.7k GitHub stars
- Written in Python
Unsloth replaces
Compare Unsloth
28 head-to-head comparisons.
- Unsloth vs OpenClaw
- Unsloth vs Hermes Agent
- Unsloth vs OpenCode
- Unsloth vs Hugging Face Transformers
- Unsloth vs Langflow
- Unsloth vs Dify
- Unsloth vs PaddleOCR
- Unsloth vs RAGFlow
- Unsloth vs OpenHands
- Unsloth vs screenshot-to-code
- Unsloth vs GPT Academic
- Unsloth vs Open Interpreter
- Unsloth vs GPT4Free
- Unsloth vs Cline
- Unsloth vs AnythingLLM
- Unsloth vs Docling
- Unsloth vs Mem0
- Unsloth vs GPT-SoVITS
- Unsloth vs PrivateGPT
- Unsloth vs Flowise
- Unsloth vs GPT Engineer
- Unsloth vs whisper.cpp
- Unsloth vs Aider
- Unsloth vs Upscayl
- Unsloth vs Text Generation WebUI
- Unsloth vs LitGPT
- Unsloth vs OpenRLHF
- Unsloth vs txtinstruct
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