stochasticai/xTuring

Health v2 · maintenance only

Adoption not part of the score

2674 stars · 211 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

xTuring is a Python library for fine-tuning, evaluating, and running open-source large language models such as LLaMA, GPT-J, GPT-2, Qwen, and GPT-OSS on your own data. It offers a simple API covering dataset preparation, memory-efficient fine-tuning (LoRA, INT8/INT4), inference, and model saving/loading.

Use cases

• fine-tune llama on my own data
• personalize an open-source LLM with LoRA
• instruction-tune a model with an alpaca dataset
• run memory-efficient LLM fine-tuning on a single GPU
• quantize a language model to int4 or int8
• evaluate fine-tuned LLMs with perplexity
• fine-tune gpt-oss or qwen3 locally

When to choose

• you want a simple, few-lines-of-code API to fine-tune open-source LLMs
• you need LoRA or low-precision (INT8/INT4) fine-tuning to cut hardware costs
• you want to keep training and inference private on your own machine or VPC
• you need to scale from laptop CPU to multi-GPU training

When to avoid

• you need full pretraining of large language models from scratch
• you require a managed fine-tuning service with hosted infrastructure
• you need fine-tuning support for non-text modalities like images or audio
• you depend on cutting-edge model support the day a model is released

Facets

library · maturity active

llm-training machine-learning deep-learning llm-inference sdk large-language-models machine-learning deep-learning artificial-intelligence python cross-platform fine-tuning lora peft quantization instruction-tuning generative-ai gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="stochasticai/xTuring")