Python · Apache-2.0
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
Stars
224 forks · 52 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
24.1
Momentum / 100
see the breakdown below
2y ago
Created
last push 17mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 12.9 | last week ran 1.86× the monthly pace |
| Freshness | 15 | 0.0 | last push 17mo ago; decays to zero at 180 days |
| Scale | 15 | 10.1 | 3.1k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 24.1 | sum of the above |
Detail
| Topics | large-language-modelsmultimodal-large-language-modelsspeech-interactionspeech-language-modelspeech-to-speechspeech-to-text |
| Matched on | LLM & Inference (large-language-models) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +2 stars over 26 days = 0.1/day |
| Lifetime average | 4.00 stars/day over 786 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |