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README.md
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---
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license: mit
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---
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## Overview
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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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| 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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## Use it with Jan (UI)
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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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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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- **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)
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