Video-Text-to-Text
Transformers
Safetensors
English
qwen3_5
image-text-to-text
video
multimodal
video-captioning
temporal-grounding
qwen
text-generation
VLM
gptq
4-bit precision
quantized
custom_code
Instructions to use prasannaJagadesh/marlin-2B-GPTQ-4BITS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prasannaJagadesh/marlin-2B-GPTQ-4BITS with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("prasannaJagadesh/marlin-2B-GPTQ-4BITS", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("prasannaJagadesh/marlin-2B-GPTQ-4BITS", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 469fa5cfb21dcab0e53cace9fc4fe0a35807343e4aaaff027e359b28faa2a389
- Size of remote file:
- 102 kB
- SHA256:
- c239ccdb669a07af2ee50befe674ddb8737efa18b35ead91fd567f07be64c865
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