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interlive
/
video-ma2mba-1.3b

Video-Text-to-Text
Transformers
Safetensors
English
llava_mamba
text-generation
video-understanding
long-video
state-space-model
mamba
mamba-2
linear-complexity
multimodal
video-question-answering
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use interlive/video-ma2mba-1.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use interlive/video-ma2mba-1.3b with Transformers:

    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("interlive/video-ma2mba-1.3b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • README.md
    6.28 kB
    Update model card: hyperlink Model Variants, streamline description 17 days ago
  • config.json
    1.57 kB
    Add Video-Ma2mba-1.3B (Mamba-2 backbone) weights, tokenizer, config, and model card 17 days ago
  • model.safetensors
    3.7 GB
    xet
    Add Video-Ma2mba-1.3B (Mamba-2 backbone) weights, tokenizer, config, and model card 17 days ago
  • special_tokens_map.json
    471 Bytes
    Add Video-Ma2mba-1.3B (Mamba-2 backbone) weights, tokenizer, config, and model card 17 days ago
  • tokenizer.json
    2.11 MB
    Add Video-Ma2mba-1.3B (Mamba-2 backbone) weights, tokenizer, config, and model card 17 days ago
  • tokenizer_config.json
    4.82 kB
    Add Video-Ma2mba-1.3B (Mamba-2 backbone) weights, tokenizer, config, and model card 17 days ago