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+ ---
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+ license: mit
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+ ---
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+ ## Overview
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+
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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 dataset. This dataset builds upon Instruction Speech WhisperVQ v3, incorporating multi-turn speech conversations and advanced noise rejection capabilities.
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+ As a result, the Ichigo-llama3s models offer enhanced robustness to noisy environmental inputs and improved handling of multi-turn conversations, ensuring greater reliability and performance in real-world applications.
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+ ## Variants
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+
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+ | No | Variant | Cortex CLI command |
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+ | --- | --- | --- |
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+ | 1 | [gguf](https://huggingface.co/cortexso/ichigo-0.5/tree/main) | `cortex run deepseek-r1-distill-qwen-1.5b` |
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+
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+
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+ ## Use it with Jan (UI)
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+
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+ 1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
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+ 2. Use in Jan model Hub:
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+ ```text
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+ cortexso/alphamaze-v0.2
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+ ```
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+ ## Use it with Cortex (CLI)
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+
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+ 1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
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+ 2. Run the model with command:
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+ ```bash
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+ cortex run alphamaze-v0.2
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+ ```
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+ ## Credits
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+
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+ - **Author:** HomebrewResearch
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+ - **Converter:** [Homebrew](https://www.homebrew.ltd/)
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+ - **Original License:** [License]()
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+ - **Papers:** [Papers](https://arxiv.org/abs/2502.14669)