Video-Text-to-Text
Transformers
Safetensors
MLX
English
qwen2_5_vl
image-text-to-text
video-grounding
temporal-grounding
video-understanding
qwen2-vl
mlx-my-repo
text-generation-inference
4-bit precision
Instructions to use JungleGym/TimeLens-7B-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JungleGym/TimeLens-7B-mlx-4Bit with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("JungleGym/TimeLens-7B-mlx-4Bit") model = AutoModelForImageTextToText.from_pretrained("JungleGym/TimeLens-7B-mlx-4Bit") - MLX
How to use JungleGym/TimeLens-7B-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir TimeLens-7B-mlx-4Bit JungleGym/TimeLens-7B-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Upload generation_config.json with huggingface_hub
Browse files- generation_config.json +14 -0
generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
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"temperature": 0.1,
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"top_k": 1,
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"top_p": 0.001,
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"transformers_version": "4.51.3"
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}
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