qq-2/Rex-Omni_muti_turn
Detect Anything via Next Point Prediction Rex-Omni is a 3B-parameter Multimodal Large Language Model (MLLM) that redefines object detection and a wide range of other visual perception tasks as a simple next-token prediction problem. News ๐ [2025-10-31] We release the AWQ quantized version of Rex-Omni, which saves 50% of the storage space. Rex-Omni-AWQ [2025-10-29] Fine-tuning code is now available.โฆ See the full description on the dataset page: https://huggingface.co/datasets/qq-2/Rex-Omni_muti_turn.
| Author / organization | qq-2 |
|---|---|
| Downloads | 153 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 March 2026 |
| Last updated at source | 4 March 2026 |
Popularity, last 2 days
153 now (-8 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from qq-2
- qq-2/Rex-Omni_bxdDataset
- qq-2/f1_top100_improved_gif_framesDataset
- qq-2/rl-data-backupDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.