Image-Text-to-Text
Transformers
Safetensors
English
LLaVA-OneVision-Manager
LLaVA-OV-Manager
Manager
Instructions to use LooperXX/LLaVA-OV-Manager with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LooperXX/LLaVA-OV-Manager with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="LooperXX/LLaVA-OV-Manager")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LooperXX/LLaVA-OV-Manager", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use LooperXX/LLaVA-OV-Manager with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LooperXX/LLaVA-OV-Manager" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LooperXX/LLaVA-OV-Manager", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/LooperXX/LLaVA-OV-Manager
- SGLang
How to use LooperXX/LLaVA-OV-Manager with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "LooperXX/LLaVA-OV-Manager" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LooperXX/LLaVA-OV-Manager", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "LooperXX/LLaVA-OV-Manager" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LooperXX/LLaVA-OV-Manager", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use LooperXX/LLaVA-OV-Manager with Docker Model Runner:
docker model run hf.co/LooperXX/LLaVA-OV-Manager
Add pipeline tag, transformers library name, and link to Hugging Face paper
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by nielsr HF Staff - opened
README.md
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datasets:
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- liuhaotian/LLaVA-Pretrain
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- lmms-lab/LLaVA-ReCap-558K
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language:
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tags:
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- LLaVA-OneVision-Manager
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- LLaVA-OV-Manager
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- Manager
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---
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Model weights for our submission to TCSVT, titled "Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs".
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Related materials can be found at [Paper](https://
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base_model:
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- Qwen/Qwen2-0.5B-Instruct
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- google/siglip-so400m-patch14-384
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datasets:
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- liuhaotian/LLaVA-Pretrain
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- lmms-lab/LLaVA-ReCap-558K
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- Zhiqiang007/MathV360K
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language:
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- en
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license: mit
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pipeline_tag: image-text-to-text
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library_name: transformers
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tags:
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- LLaVA-OneVision-Manager
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- LLaVA-OV-Manager
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- Manager
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---
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Model weights for our submission to TCSVT, titled "Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs".
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Related materials can be found at [Paper](https://huggingface.co/papers/2506.11515), [Code](https://github.com/LooperXX/LLaVA-OV-Manager), https://looperxx.github.io/.
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