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@@ -14,6 +14,7 @@ We have developed and released the family [Ichigo-llama3s](https://huggingface.c
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  We expand the Semantic tokens experiment with WhisperVQ as a tokenizer for audio files from [homebrewltd/Ichigo-llama3.1-s-base-v0.3](https://huggingface.co/homebrewltd/Ichigo-llama3.1-s-base-v0.3) with nearly 1B tokens from [Instruction Speech WhisperVQ v3](homebrewltd/mixed-instruction-speech-whispervq-v3-full) dataset.
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  This is the model checkpoint from step 7000. Due to some noise in the training data, it has an artificially higher score on the Speech Instruction benchmark.
 
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  **Model developers** Homebrew Research.
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  **Input** Text and sound.
 
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  We expand the Semantic tokens experiment with WhisperVQ as a tokenizer for audio files from [homebrewltd/Ichigo-llama3.1-s-base-v0.3](https://huggingface.co/homebrewltd/Ichigo-llama3.1-s-base-v0.3) with nearly 1B tokens from [Instruction Speech WhisperVQ v3](homebrewltd/mixed-instruction-speech-whispervq-v3-full) dataset.
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  This is the model checkpoint from step 7000. Due to some noise in the training data, it has an artificially higher score on the Speech Instruction benchmark.
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  **Model developers** Homebrew Research.
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  **Input** Text and sound.