Image-Text-to-Text
Transformers
TensorBoard
Safetensors
feature-extraction
conversational
custom_code
Instructions to use lmms-lab/LLaVA-OneVision-1.5-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmms-lab/LLaVA-OneVision-1.5-8B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="lmms-lab/LLaVA-OneVision-1.5-8B-Instruct", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lmms-lab/LLaVA-OneVision-1.5-8B-Instruct", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use lmms-lab/LLaVA-OneVision-1.5-8B-Instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lmms-lab/LLaVA-OneVision-1.5-8B-Instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmms-lab/LLaVA-OneVision-1.5-8B-Instruct", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/lmms-lab/LLaVA-OneVision-1.5-8B-Instruct
- SGLang
How to use lmms-lab/LLaVA-OneVision-1.5-8B-Instruct 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 "lmms-lab/LLaVA-OneVision-1.5-8B-Instruct" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmms-lab/LLaVA-OneVision-1.5-8B-Instruct", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'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 "lmms-lab/LLaVA-OneVision-1.5-8B-Instruct" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmms-lab/LLaVA-OneVision-1.5-8B-Instruct", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use lmms-lab/LLaVA-OneVision-1.5-8B-Instruct with Docker Model Runner:
docker model run hf.co/lmms-lab/LLaVA-OneVision-1.5-8B-Instruct
fix: import `flash_attn_varlen_func` from `flash_attn` instead of `transformers.modeling_flash_attention_utils`
#4
by wincentIsMe - opened
modeling_llavaonevision1_5.py
CHANGED
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@@ -46,7 +46,8 @@ from .configuration_llavaonevision1_5 import Llavaonevision1_5Config, LLaVAOneVi
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if is_flash_attn_available():
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from transformers.modeling_flash_attention_utils import _flash_attention_forward
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if is_torch_flex_attn_available():
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from torch.nn.attention.flex_attention import BlockMask
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if is_flash_attn_available():
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from transformers.modeling_flash_attention_utils import _flash_attention_forward
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from flash_attn import flash_attn_varlen_func
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if is_torch_flex_attn_available():
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from torch.nn.attention.flex_attention import BlockMask
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