Video-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_vl
feature-extraction
MOSS-VL
image-understanding
video-understanding
FP8
compressed-tensors
quantized
SGLang
custom_code
Instructions to use OpenMOSS-Team/MOSS-VL-Instruct-0708-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-VL-Instruct-0708-FP8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Instruct-0708-FP8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "source_model": "/inspire/qb-ilm/project/video-understanding/public/train/moss_vl_streaming/8B/final_release/MOSS-VL-0708-Instruct", | |
| "output_dir": "/inspire/qb-ilm/project/video-understanding/public/train/moss_vl_streaming/8B/quant/MOSS-VL-0708-Instruct-FP8-Dynamic", | |
| "format": "compressed-tensors", | |
| "scheme": "FP8_DYNAMIC", | |
| "weights": "FP8 channel-wise static", | |
| "input_activations": "FP8 per-token dynamic", | |
| "quantized_linear_count": 252, | |
| "quantized_layers": [ | |
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| "excluded_cross_attention_layers": [ | |
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| "elapsed_seconds": 55.73, | |
| "torch": "2.10.0+cu128" | |
| } | |