Video-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_vl
feature-extraction
MOSS-VL
realtime
streaming
video-understanding
FP8
compressed-tensors
HQQ
quantized
custom_code
Instructions to use OpenMOSS-Team/MOSS-VL-Realtime-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-VL-Realtime-FP8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Realtime-FP8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,031 Bytes
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"created_at": "2026-08-11T04:16:53.452789+00:00",
"source_model": "/inspire/qb-ilm/project/video-understanding/public/train/moss_vl_streaming/8B/final_release/mossvl_streaming_final_release",
"output_dir": "/inspire/qb-ilm/project/video-understanding/public/train/moss_vl_streaming/8B/final_release/quant/MOSS-VL-0708-Realtime-FP8-Dynamic-KV8-HQQ",
"runtime": "Transformers MOSS-VL realtime streaming",
"weight_format": "compressed-tensors FP8_DYNAMIC",
"weight_targets": 252,
"transformers_kv_cache": "HQQ INT8",
"quantized_layers": [
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],
"excluded_cross_attention_layers": [
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],
"elapsed_seconds": 66.71,
"torch": "2.10.0+cu128"
}
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