Video-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_vl
feature-extraction
MOSS-VL
realtime
streaming
video-understanding
bitsandbytes
NF4
quantized
custom_code
4-bit precision
Instructions to use OpenMOSS-Team/MOSS-VL-Realtime-NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-VL-Realtime-NF4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Realtime-NF4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 314 Bytes
2e600c2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_from_model_config": true,
"bos_token_id": 151643,
"eos_token_id": 151645,
"transformers_version": "4.57.1",
"cache_implementation": "quantized",
"cache_config": {
"backend": "hqq",
"nbits": 8,
"axis_key": 0,
"axis_value": 0,
"q_group_size": 64,
"residual_length": 128
}
}
|