TEMA Qwen2.5-Omni-7B SFT
Qwen2.5-Omni-7B after temporal initialization and dialogue SFT on 40,704 dialogues (198,195 turns, 848 updates). The model answers multi-turn, multi-audio questions with Route, Span, Reason, and Answer.
Task definitions
TEMA-Dialog and TEMA-Bench cover five task families and 18 subtasks. See the 18-subtask guide for definitions, example questions and answers, evidence requirements, and internal task labels.
TEMA-Bench results
253 dialogues / 1,239 questions, using model-generated history. Values are percentages.
| QA | QA+T | Span F1@0.5 | H@0.1 |
|---|---|---|---|
| 68.93 | 58.27 | 52.30 | 42.78 |
Evaluation uses Qwen/Qwen2.5-Omni-7B + this repository's adapter/.
Use
The repository includes merged model weights and the training adapter.
Load merged weights with Qwen2_5OmniForConditionalGeneration.from_pretrained(...)
and the included processor; set return_audio=False for text responses.
To use adapter/, load it on Qwen/Qwen2.5-Omni-7B.