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: 2,333 Bytes
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"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
}
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