Image-Text-to-Text
Transformers
Safetensors
English
minicpmo
feature-extraction
minicpm
omni
multimodal
audio
vision
tts
quantized
int8
INT8
w8a16
compressed-tensors
vllm
text-generation
conversational
8-bit precision
ptq
llmcompressor
sglang
88plug
post-training-quantization
vlm
image
custom_code
Instructions to use 88plug/MiniCPM-o-4.5-W8A16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 88plug/MiniCPM-o-4.5-W8A16 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-W8A16", 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("88plug/MiniCPM-o-4.5-W8A16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 88plug/MiniCPM-o-4.5-W8A16 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-W8A16" # 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-W8A16", "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-W8A16
- SGLang
How to use 88plug/MiniCPM-o-4.5-W8A16 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-W8A16" \ --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-W8A16", "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-W8A16" \ --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-W8A16", "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-W8A16 with Docker Model Runner:
docker model run hf.co/88plug/MiniCPM-o-4.5-W8A16
Download special_tokens_map.json from 88plug/MiniCPM-o-4.5-W8A16: direct link, hf CLI and curl.
- Browser
- Download file 1.69 kB
-
https://huggingface.co/88plug/MiniCPM-o-4.5-W8A16/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://88plug/MiniCPM-o-4.5-W8A16/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/88plug/MiniCPM-o-4.5-W8A16/resolve/main/special_tokens_map.json
1.69 kB
| { | |
| "additional_special_tokens": [ | |
| "<unk>", | |
| "<image>", | |
| "</image>", | |
| "<ref>", | |
| "</ref>", | |
| "<box>", | |
| "</box>", | |
| "<quad>", | |
| "</quad>", | |
| "<point>", | |
| "</point>", | |
| "<slice>", | |
| "</slice>", | |
| "<image_id>", | |
| "</image_id>", | |
| "<unit>", | |
| "</unit>", | |
| "<answer>", | |
| "</answer>", | |
| "<focus>", | |
| "</focus>", | |
| "<line>", | |
| "</line>", | |
| "<perception>", | |
| "</perception>", | |
| "<source_image>", | |
| "</source_image>", | |
| "<image_save_to>", | |
| "</image_save_to>", | |
| "<|audio_start|>", | |
| "<|audio|>", | |
| "<|audio_end|>", | |
| "<|spk_bos|>", | |
| "<|spk|>", | |
| "<|spk_eos|>", | |
| "<|tts_bos|>", | |
| "<|tts_eos|>", | |
| "<|listen|>", | |
| "<|speak|>", | |
| "<|interrupt|>", | |
| "<|vad_start|>", | |
| "<|vad_end|>", | |
| "<|emotion_start|>", | |
| "<|emotion_end|>", | |
| "<|speed_start|>", | |
| "<|speed_end|>", | |
| "<|pitch_start|>", | |
| "<|pitch_end|>", | |
| "<|turn_bos|>", | |
| "<|turn_eos|>", | |
| "<|chunk_eos|>", | |
| "<|chunk_bos|>", | |
| "<|chunk_tts_bos|>", | |
| "<|chunk_tts_eos|>", | |
| "<|tts_pad|>", | |
| "<|timbre_7|>", | |
| "<|timbre_8|>", | |
| "<|timbre_9|>", | |
| "<|timbre_10|>", | |
| "<|timbre_11|>", | |
| "<|timbre_12|>", | |
| "<|timbre_13|>", | |
| "<|timbre_14|>", | |
| "<|timbre_15|>", | |
| "<|timbre_16|>", | |
| "<|timbre_17|>", | |
| "<|timbre_18|>", | |
| "<|timbre_19|>", | |
| "<|timbre_20|>", | |
| "<|timbre_21|>", | |
| "<|timbre_22|>", | |
| "<|timbre_23|>", | |
| "<|timbre_24|>", | |
| "<|timbre_25|>", | |
| "<|timbre_26|>", | |
| "<|timbre_27|>", | |
| "<|timbre_28|>", | |
| "<|timbre_29|>", | |
| "<|timbre_30|>", | |
| "<|timbre_31|>" | |
| ], | |
| "bos_token": "<|im_start|>", | |
| "eos_token": "<|im_end|>", | |
| "pad_token": "<|endoftext|>", | |
| "unk_token": "<unk>" | |
| } | |