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
| { | |
| "created_at": "2026-07-26T06:19:47.245758+00:00", | |
| "source": "/inspire/qb-ilm/project/video-understanding/public/train/moss_vl_streaming/8B/final_release/mossvl_streaming_final_release", | |
| "output": "/inspire/qb-ilm/project/video-understanding/public/train/moss_vl_streaming/8B/quant/mossvl_streaming_w4a16_nf4_keep_first4_last4", | |
| "variant": "w4_keep_ends", | |
| "method": "bitsandbytes NF4 W4A16 keep-first-last-4", | |
| "compute_dtype": "bfloat16", | |
| "skip_modules": [ | |
| "model.visual", | |
| "cross_attn", | |
| "lm_head", | |
| "model.language_model.layers.0", | |
| "model.language_model.layers.1", | |
| "model.language_model.layers.2", | |
| "model.language_model.layers.3", | |
| "model.language_model.layers.44", | |
| "model.language_model.layers.45", | |
| "model.language_model.layers.46", | |
| "model.language_model.layers.47" | |
| ], | |
| "quantized_kind": "4bit", | |
| "quantized_linear_count": 240, | |
| "quantized_module_samples": [ | |
| "model.language_model.layers.4.self_attn.q_proj", | |
| "model.language_model.layers.4.self_attn.k_proj", | |
| "model.language_model.layers.4.self_attn.v_proj", | |
| "model.language_model.layers.4.self_attn.o_proj", | |
| "model.language_model.layers.4.mlp.gate_proj", | |
| "model.language_model.layers.4.mlp.up_proj", | |
| "model.language_model.layers.4.mlp.down_proj", | |
| "model.language_model.layers.5.self_attn.q_proj", | |
| "model.language_model.layers.5.self_attn.k_proj", | |
| "model.language_model.layers.5.self_attn.v_proj", | |
| "model.language_model.layers.5.self_attn.o_proj", | |
| "model.language_model.layers.5.mlp.gate_proj", | |
| "model.language_model.layers.5.mlp.up_proj", | |
| "model.language_model.layers.5.mlp.down_proj", | |
| "model.language_model.layers.6.mlp.gate_proj", | |
| "model.language_model.layers.6.mlp.up_proj", | |
| "model.language_model.layers.6.mlp.down_proj", | |
| "model.language_model.layers.7.self_attn.q_proj", | |
| "model.language_model.layers.7.self_attn.k_proj", | |
| "model.language_model.layers.7.self_attn.v_proj" | |
| ], | |
| "peak_gpu_memory_gib_during_conversion": 11.038, | |
| "gpu": "NVIDIA H200", | |
| "versions": { | |
| "torch": "2.8.0+cu128", | |
| "transformers": "4.57.1", | |
| "accelerate": "1.12.0", | |
| "bitsandbytes": "0.49.2" | |
| }, | |
| "reload_verified": true, | |
| "reload_quantized_kind": "4bit", | |
| "reload_quantized_linear_count": 240, | |
| "peak_gpu_memory_gib_after_reload": 14.549 | |
| } | |