Image-Text-to-Text
Transformers
Safetensors
English
minicpm
omni
multimodal
audio
vision
tts
quantized
int4
INT4
w4a16
4-bit precision
compressed-tensors
vllm
text-generation
conversational
ptq
autoround
llmcompressor
sglang
text-generation-inference
88plug
post-training-quantization
vlm
image
Instructions to use 88plug/MiniCPM-o-4.5-W4A16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 88plug/MiniCPM-o-4.5-W4A16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="88plug/MiniCPM-o-4.5-W4A16") 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("88plug/MiniCPM-o-4.5-W4A16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 88plug/MiniCPM-o-4.5-W4A16 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "88plug/MiniCPM-o-4.5-W4A16" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "88plug/MiniCPM-o-4.5-W4A16", "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/88plug/MiniCPM-o-4.5-W4A16
- SGLang
How to use 88plug/MiniCPM-o-4.5-W4A16 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 "88plug/MiniCPM-o-4.5-W4A16" \ --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": "88plug/MiniCPM-o-4.5-W4A16", "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 "88plug/MiniCPM-o-4.5-W4A16" \ --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": "88plug/MiniCPM-o-4.5-W4A16", "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 88plug/MiniCPM-o-4.5-W4A16 with Docker Model Runner:
docker model run hf.co/88plug/MiniCPM-o-4.5-W4A16
Update model card: add tags, model-index eval block
Browse files
README.md
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library_name: transformers
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model_type: minicpmo
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---
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# MiniCPM-o-4.5-W4A16
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- ptq
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- autoround
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- llmcompressor
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- safetensors
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- sglang
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- text-generation-inference
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- 88plug
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- post-training-quantization
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- vlm
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- image
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pipeline_tag: image-text-to-text
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library_name: transformers
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model_type: minicpmo
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model-index:
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- name: MiniCPM-o-4.5-W4A16
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results:
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- task:
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type: text-generation
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dataset:
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name: MMLU-Pro
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type: TIGER-Lab/MMLU-Pro
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metrics:
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- type: accuracy
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value: 0
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verified: false
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- task:
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type: text-generation
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dataset:
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name: GPQA Diamond
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type: Idavidrein/gpqa
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metrics:
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- type: accuracy
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value: 0
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verified: false
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---
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# MiniCPM-o-4.5-W4A16
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