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ictnlp/LLaMA-Omni

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

3.1k 223 +0/wk
GitHub
large-language-models multimodal-large-language-models speech-interaction speech-language-model speech-to-speech speech-to-text
Trend 0

Star & Fork Trend (19 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

ictnlp/LLaMA-Omni has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric LLaMA-Omni Video-LLaMA MiniMax-M1 fastNLP
Stars 3.1k 3.1k3.1k3.1k
Forks 223 287281450
Weekly Growth +0 +0+0+0
Language Python PythonPythonPython
Sources 1 111
License Apache-2.0 BSD-3-ClauseApache-2.0Apache-2.0

Capability Radar vs Video-LLaMA

LLaMA-Omni
Video-LLaMA
Maintenance Activity 0

Last code push 325 days ago.

Community Engagement 36

Fork-to-star ratio: 7.1%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.