Any-to-Any
Transformers
Safetensors
multilingual
minicpmo
feature-extraction
minicpm-o
omni
vision
ocr
multi-image
video
custom_code
audio
speech
voice cloning
live Streaming
realtime speech conversation
asr
tts
4-bit precision
gptq
Instructions to use openbmb/MiniCPM-o-2_6-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-o-2_6-GPTQ with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-o-2_6-GPTQ", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 348 Bytes
ba795d7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"bits": 4,
"group_size": 128,
"damp_percent": 0.01,
"desc_act": false,
"static_groups": false,
"sym": true,
"true_sequential": true,
"model_name_or_path": "/cache/shitong/autoGPTQ/models/MiniCPM-o-2_6-gptq-int4/_llm_temp",
"model_file_base_name": "gptq_model-4bit-128g",
"quant_method": "gptq",
"checkpoint_format": "gptq"
} |