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Speech-to-Text Question Answering on AlpacaEval
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85.86
Accuracy
SPEECH-OMNI-LITE
45.1648
55.7299
66.295
76.8601
Mar 10, 2026
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
SPEECH-OMNI-LITE
Model Parameters=32B,...
2026.03
85.86
SPEECH-OMNI-LITE
Model Parameters=8B
2026.03
76.26
VocalNet
Model Parameters=8B
2026.03
75.76
Qwen2.5-Omni-7B
Model Parameters=7B
2026.03
71.72
SPEECH-OMNI-LITE
Model Parameters=4B, P...
2026.03
68.18
GLM-4-Voice
Model Parameters=9B
2026.03
65.15
LLaMA-Omni2
Model Parameters=7B
2026.03
64.14
Baichuan-Omni-1.5
Model Parameters=7B
2026.03
64.14
Freeze-Omni
Model Parameters=7B
2026.03
46.73
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