Topic: llava

Blaizzy/

mlx-vlm

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

open-compass/

VLMEvalKit

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

SciSharp/

LLamaSharp

A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.

NVlabs/

Eagle

Eagle: Frontier Vision-Language Models with Data-Centric Strategies

om-ai-lab/

OmAgent

[EMNLP-2024] Build multimodal language agents for fast prototype and production

EvolvingLMMs-Lab/

LLaVA-OneVision-2

Fully Open Framework for Democratized Multimodal Training

mbzuai-oryx/

LLaVA-pp

🔥🔥 LLaVA++: Extending LLaVA with Phi-3 and LLaMA-3 (LLaVA LLaMA-3, LLaVA Phi-3)

gokayfem/

ComfyUI_VLM_nodes

ComfyUI nodes for vision-language models: Qwen3-VL, Moondream 3, Florence-2, SmolVLM2, InternVL, Gemma 3, MiniCPM-V. Plus open-vocabulary detection, SAM2/SAM3 segmentation, video temporal reasoning, GGUF via llama.cpp, and hosted LLM/VLM APIs.