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README.md
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datasets:
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- homebrewltd/instruction-speech-whispervq-v2
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language:
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license: apache-2.0
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tags:
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- sound language model
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## Model Details
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We have developed and released the family [Ichigo-llama3s](https://
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This model is a supervised fine-tuned (SFT) version of homebrewltd/Ichigo-llama3.1-s-base-v0.3, trained on over 1 billion tokens from the [Instruction Speech WhisperVQ v4](https://huggingface.co/datasets/homebrewltd/mixed-instruction-speech-whispervq-v4) dataset which built upon [Instruction Speech WhisperVQ v3](https://huggingface.co/datasets/homebrewltd/mixed-instruction-speech-whispervq-v3-full), adding multi-turn speech conversations and noise rejection capabilities for enhanced performance. As a result, the model demonstrates improved robustness against noisy environmental inputs and enhanced multi-turn conversation capabilities, making it more reliable in real-world applications.
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datasets:
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- homebrewltd/instruction-speech-whispervq-v2
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language:
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- fr
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license: apache-2.0
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tags:
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- sound language model
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## Model Details
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We have developed and released the family [Ichigo-llama3s](https://wilson.co/collections/homebrew-research/llama3-s-669df2139f0576abc6eb7405). This family is natively understanding audio and text input.
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This model is a supervised fine-tuned (SFT) version of homebrewltd/Ichigo-llama3.1-s-base-v0.3, trained on over 1 billion tokens from the [Instruction Speech WhisperVQ v4](https://huggingface.co/datasets/homebrewltd/mixed-instruction-speech-whispervq-v4) dataset which built upon [Instruction Speech WhisperVQ v3](https://huggingface.co/datasets/homebrewltd/mixed-instruction-speech-whispervq-v3-full), adding multi-turn speech conversations and noise rejection capabilities for enhanced performance. As a result, the model demonstrates improved robustness against noisy environmental inputs and enhanced multi-turn conversation capabilities, making it more reliable in real-world applications.
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