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RichardErkhov/Vikhrmodels_-_salt-116k-awq
Vikhrmodels_-_salt-116k-awq is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
17
49% of all-time downloads
All-time downloads
35
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774 MB on disk
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.safetensors774 MB · 99%
How the weights are stored.
I32969M · 88%
From the Hugging Face model README
Quantization made by Richard Erkhov.
salt-116k - AWQ
library_name: transformers license: apache-2.0 language:

Vikhr Salt is a multimodal model based on a pre-trained large language model, extended with new audio tokens to handle both TTS (text-to-speech) and ASR (automatic speech recognition) tasks. The model incorporates two variants for encoding audio—Encodec and SpeechTokenizer—and achieves stable training by fine-tuning precision settings. This approach allows Vikhr Salt to leverage pre-existing LLM knowledge while effectively generating and understanding speech, marking a step forward in multimodal learning.
Ksenya Sycheva, Konstantin Korolev, Aleksandr Nikolic