MobiLlama is a small language model designed for edge devices, according to its repository description.
Open source
24 alternativesxTuring
xTuring supports personalizing open source language models through preprocessing and fine tuning.
About xTuring
xTuring is an open source Python library for fine-tuning open-source large language models (LLMs) on your own data. Its homepage describes it as covering data preparation, fine-tuning, evaluation, and inference through a simple API. Supported models named on the homepage include GPT-OSS, LLaMA and LLaMA 2, Qwen3, MiniMax M2, GPT-J, GPT-2, DistilGPT-2, and Mamba.
The homepage describes running models locally or in a private cloud or VPC as private by default. It also says LoRA and INT8/INT4 low-precision options can reduce cost. Installation requires transformers 4.36.0 or later, and the README advises against upgrading to transformers 5.x for now. Built-in evaluation currently supports perplexity only. The GPT-OSS models need significant computing resources.
Key features
- Fine-tuning open-source LLMs on your own data, locally or in a private cloud
- Simple API for data preparation, training, and inference
- LoRA and INT8/INT4 low-precision options for fine-tuning
- Built-in perplexity evaluation for causal language models
- Support for GPT-OSS, LLaMA 2, Qwen3, Mamba, GPT-2, and other models
- Scaling from a CPU or laptop to multi-GPU setups
Best for: Python developers and machine learning researchers who want to fine-tune open-source LLMs on their own data.
Good for
- Open source, with the code hosted in a public GitHub repository
- Offers LoRA and INT8/INT4 options that the homepage says reduce cost
- Includes a small CPU-friendly quickstart example using a lightweight Qwen 0.6B LoRA checkpoint
Watch out for
- Requires transformers 4.36.0 or later, and the README advises against transformers 5.x for now
- The GPT-OSS models require significant resources
- Built-in evaluation currently supports perplexity only
xTuring at a glance
- Category
- AI & Machine Learning › Models & ML Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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xTuring FAQ
Can I try fine-tuning on a CPU?
The README recommends starting with a small, CPU-friendly example that uses the lightweight Qwen 0.6B LoRA checkpoint.
Which transformers version does xTuring need?
It requires transformers 4.36.0 or later. The README says not to upgrade to transformers 5.x yet, because 5.x drops the load_in_8bit and load_in_4bit loading options that the INT8 and INT4 engines use.
How is xTuring installed?
The README gives pip install xturing as the installation command. Contributors can instead clone the repository and install it in editable mode with development dependencies.
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