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haotian-liu/LLaVA

haotian-liu / LLaVA

Dev Agents & ProgramsPythonApache-2.0
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[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

25.1kstars
2.8kforks
1.1kopen issues
2024-08-12last pushed
Apache-2.0license

What it is, and how people use it

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond. It sits on the Dev Agents & Programs shelf of the catalog, maintained by @haotian-liu.

✓Drop-in for Claude Code, Codex CLI and Cursor - install and it just runs.
✓Read the SKILL.md / README first; most setups are one command from the docs.
✓Teams use it to standardise how agents behave across every repo in the org.
chatbotchatgptfoundation-modelsgpt-4instruction-tuning
llava.hliu.cc

Why builders keep it installedDev Agents & Programs benefits

Day-one leverage

These CLIs and dashboards solve one job well and install with a single command. Value shows up in the first hour, not after a config weekend.

Composes with your agent

Most of them ship an MCP server, skill or hooks - so the same tool you use manually becomes an action your agent can call safely.

Built under real workloads

Star counts here track repos people actually run daily: the issue history shows bug classes fixed under production pressure, not demo-week polish.

Free and open source

Every tool on this page ships under an open license and can be self-hosted. Your usage data and your configs stay yours.

Contributorsloading from GitHub…

HAhaotidev1408HAhaotidev2367HAhaotidev3326HAhaotidev4285HAhaotidev5244HAhaotidev6204HAhaotidev7163HAhaotidev8122

Languagesestimated from snapshot

  • Python 74.0%
  • Rust 14.0%
  • Shell 12.0%

Community pulsesnapshot ratios, normalized

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