ওভারভিউ
A unified fine-tuning toolkit for large language and vision-language models. The repository is maintained under hiyouga on GitHub. Its primary language is Python. See the [project README](https://github.com/hiyouga/LlamaFactory#readme) for the supported workflows.
প্রধান বৈশিষ্ট্যসমূহ
- A unified fine-tuning toolkit for large language and vision-language models.
প্রয়োজনীয়তা, ইনস্টলেশন ও দ্রুত শুরু
Follow the official installation guide for your Python environment and compute backend. Use an isolated environment and the dependency versions specified upstream.
[Read the upstream installation and quickstart instructions](https://github.com/hiyouga/LlamaFactory#readme).
[Read the upstream installation and quickstart instructions](https://github.com/hiyouga/LlamaFactory#readme).
ব্যবহার
Begin with an upstream example and a small dataset; validate the results before moving to larger training or evaluation workloads.
[Usage examples and configuration reference](https://github.com/hiyouga/LlamaFactory#readme).
[Usage examples and configuration reference](https://github.com/hiyouga/LlamaFactory#readme).
মডেলের সামঞ্জস্যতা ও ব্যবহারের ক্ষেত্র
রিপোজিটরি মেটাডেটায় মডেলের সামঞ্জস্যতা উল্লেখ করা নেই।
লাইসেন্স ও ঝুঁকি-সংক্রান্ত নোট
GitHub reports Apache-2.0 for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: Apache-2.0.
রিলিজ ও রক্ষণাবেক্ষণ
[View upstream releases](https://github.com/hiyouga/LlamaFactory/releases).