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README.md

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+---
+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)
+```