Correct hyper-link to Architecture Blog (#17)
Browse files- Correct hyper-link to Architecture Blog (17f2e030cc921b6db81105f61b9bd2ccba118796)
README.md
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@@ -79,7 +79,7 @@ DualFFN acts as an audio-specific expert, boosting the LLM's performance with mi
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Our implementation preserves 91% of the original LLM’s training speed with the inclusion of DualFFN, which has 2.2B parameters.
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Thus, the total number of parameter for Higgs Audio v2 is 3.6B (LLM) + 2.2B (Audio Dual FFN), and it has the same training / inference FLOPs as Llama-3.2-3B.
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Ablation study shows that the model equipped with DualFFN consistently outperforms its counterpart in terms of word error rate (WER) and speaker similarity.
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See [our architecture blog](https://github.com/boson-ai/higgs-audio/tech_blogs/ARCHITECTURE_BLOG.md) for more information.
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## Evaluation
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Our implementation preserves 91% of the original LLM’s training speed with the inclusion of DualFFN, which has 2.2B parameters.
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Thus, the total number of parameter for Higgs Audio v2 is 3.6B (LLM) + 2.2B (Audio Dual FFN), and it has the same training / inference FLOPs as Llama-3.2-3B.
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Ablation study shows that the model equipped with DualFFN consistently outperforms its counterpart in terms of word error rate (WER) and speaker similarity.
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See [our architecture blog](https://github.com/boson-ai/higgs-audio/blob/main/tech_blogs/ARCHITECTURE_BLOG.md) for more information.
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## Evaluation
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