---
license: mit
---
## Overview

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.

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.
## Variants

| No | Variant | Cortex CLI command |
| --- | --- | --- |
| 1 | [gguf](https://huggingface.co/cortexso/ichigo-0.5/tree/main) | `cortex run deepseek-r1-distill-qwen-1.5b` |


## Use it with Jan (UI)

1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
2. Use in Jan model Hub:
    ```text
    cortexso/ichigo-0.5
    ```
## Use it with Cortex (CLI)

1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
2. Run the model with command:
    ```bash
    cortex run ichigo-0.5
    ```
## Credits

- **Author:** HomebrewResearch
- **Converter:** [Homebrew](https://www.homebrew.ltd/)
- **Original License:** [License]()
- **Papers:** [Papers]()