TimeLens 7B Mlx 4Bit

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

Source context: 4 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo JungleGym/TimeLens-7B-mlx-4Bit