xTuring
by Community
Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: htt
OSS
xTuring
Added 1 June 2026
Overview
xTuring is an open-source Python library for personalizing open-source large language models. It provides a pipeline from data pre-processing to fine-tuning, making it straightforward to adapt models for custom tasks.
Best for
Best for
Developers and researchers who need an accessible way to fine-tune open-source LLMs for specific applications
Use cases
- Fine-tuning open-source LLMs on domain-specific datasets
- Preparing and preprocessing training data for LLM personalization
- Experimenting with different fine-tuning approaches on community models
Notes
xTuring is an open-source Python library for personalizing open-source large language models. It provides a pipeline from data pre-processing to fine-tuning, making it straightforward to adapt models for custom tasks.
2,667 stars on GitHub. Last updated 2026-03-04. Licensed Apache-2.0.
Use cases
- Fine-tuning open-source LLMs on domain-specific datasets
- Preparing and preprocessing training data for LLM personalization
- Experimenting with different fine-tuning approaches on community models
Pros
- Open-source and free with an active community on Discord
- Covers the full workflow from data handling to model tuning
- Simple interface reduces complexity for beginners
Cons
- Limited to open-source models, no support for proprietary APIs
- Requires substantial GPU memory for larger models
- Documentation may be sparse for advanced use cases
Indexed from awesome-llmops and enriched against its public facts.
Pros
- Open-source and free with an active community on Discord
- Covers the full workflow from data handling to model tuning
- Simple interface reduces complexity for beginners
Cons
- Limited to open-source models, no support for proprietary APIs
- Requires substantial GPU memory for larger models
- Documentation may be sparse for advanced use cases
Pairs with
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