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--- |
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license: other |
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license_name: bsd-3-clause |
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license_link: https://github.com/TencentARC/TimeLens/blob/main/LICENSE |
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language: |
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- en |
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tags: |
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- video-grounding |
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- temporal-grounding |
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- video-understanding |
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- qwen2-vl |
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- mlx |
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- mlx-my-repo |
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library_name: transformers |
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pipeline_tag: video-text-to-text |
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datasets: |
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- TencentARC/TimeLens-100K |
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- TencentARC/TimeLens-Bench |
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base_model: TencentARC/TimeLens-7B |
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--- |
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# JungleGym/TimeLens-7B-mlx-4Bit |
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The Model [JungleGym/TimeLens-7B-mlx-4Bit](https://huggingface.co/JungleGym/TimeLens-7B-mlx-4Bit) was converted to MLX format from [TencentARC/TimeLens-7B](https://huggingface.co/TencentARC/TimeLens-7B) using mlx-lm version **0.28.3**. |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("JungleGym/TimeLens-7B-mlx-4Bit") |
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prompt="hello" |
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: |
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messages = [{"role": "user", "content": prompt}] |
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prompt = tokenizer.apply_chat_template( |
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messages, tokenize=False, add_generation_prompt=True |
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) |
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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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