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--- |
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license: apache-2.0 |
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base_model: |
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- TencentARC/TimeLens-8B |
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language: |
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- en |
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pipeline_tag: image-text-to-text |
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library_name: transformers |
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tags: |
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- text-generation-inference |
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- llama.cpp |
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--- |
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# **TimeLens-8B-GGUF** |
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> TimeLens-8B from TencentARC is an 8B-parameter multimodal vision-language model fine-tuned from Qwen3-VL-8B-Instruct using a novel RLVR (reinforcement learning with verifiable rewards) recipe on the high-quality TimeLens-100K VTG dataset, achieving state-of-the-art video temporal grounding performance among open-source models with 72.0% R1@0.3 (Charades-TimeLens), 64.5% R1@0.3 (ActivityNet-TimeLens), and 75.6% R1@0.3 (QVHighlights-TimeLens), significantly outperforming baselines like Qwen3-VL-8B-Instruct and Qwen2.5-VL-7B. Designed for precise localization of visual events described by natural language queries, it outputs timestamped segments in the format "The event happens in <start time> - <end time> seconds" using low FPS=2 sampling (min_pixels=642828, total_pixels=143362828) for efficient video processing via Transformers with Flash-Attention-2 support. Released with code, project page, and TimeLens-Bench evaluation suite, it excels on Charades-TimeLens, ActivityNet-TimeLens, and QVHighlights-TimeLens leaderboards for research in video understanding, temporal reasoning, and event detection. |
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## TimeLens-8B [GGUF] |
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| File Name | Quant Type | File Size | File Link | |
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| - | - | - | - | |
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| TimeLens-8B.IQ4_XS.gguf | IQ4_XS | 4.59 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.IQ4_XS.gguf) | |
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| TimeLens-8B.Q2_K.gguf | Q2_K | 3.28 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q2_K.gguf) | |
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| TimeLens-8B.Q3_K_L.gguf | Q3_K_L | 4.43 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q3_K_L.gguf) | |
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| TimeLens-8B.Q3_K_M.gguf | Q3_K_M | 4.12 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q3_K_M.gguf) | |
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| TimeLens-8B.Q3_K_S.gguf | Q3_K_S | 3.77 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q3_K_S.gguf) | |
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| TimeLens-8B.Q4_K_M.gguf | Q4_K_M | 5.03 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q4_K_M.gguf) | |
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| TimeLens-8B.Q4_K_S.gguf | Q4_K_S | 4.8 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q4_K_S.gguf) | |
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| TimeLens-8B.Q5_K_M.gguf | Q5_K_M | 5.85 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q5_K_M.gguf) | |
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| TimeLens-8B.Q5_K_S.gguf | Q5_K_S | 5.72 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q5_K_S.gguf) | |
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| TimeLens-8B.Q6_K.gguf | Q6_K | 6.73 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q6_K.gguf) | |
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| TimeLens-8B.Q8_0.gguf | Q8_0 | 8.71 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.Q8_0.gguf) | |
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| TimeLens-8B.f16.gguf | F16 | 16.4 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.f16.gguf) | |
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| TimeLens-8B.mmproj-Q8_0.gguf | mmproj-Q8_0 | 752 MB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.mmproj-Q8_0.gguf) | |
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| TimeLens-8B.mmproj-f16.gguf | mmproj-f16 | 1.16 GB | [Download](https://huggingface.co/prithivMLmods/TimeLens-8B/blob/main/TimeLens-8B.mmproj-f16.gguf) | |
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## Quants Usage |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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Here is a handy graph by ikawrakow comparing some lower-quality quant |
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types (lower is better): |
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