Repository profile
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Repository updates
Get generated haotian-liu/LLaVA development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-04 03:05
4 captures since 2026-05-27
Stars from baseline +68
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-04 03:05
pyproject.toml
python ecosystem,
28 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
LLM as a Chatbot Service
