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README.md
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license: mit
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---
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---
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license: mit
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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base_model:
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- Qwen/Qwen2.5-0.5B-Instruct
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pipeline_tag: text-generation
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datasets:
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- DiamondGotCat/Zeta-2-Dataset
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# Further into the future. Better. New achievement: Zeta 2.
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Zeta 2 is a new version of Zeta that aims to take the next step forward from Zeta 1, which proved that "ordinary consumers can create LLMs."
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## About Zeta 2
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Zeta 2 is an LLM with about 460 million parameters.
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It might be better to call it an SLM.
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Zeta 2 is an SLM that was painstakingly created on a consumer computer.
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### Computer Spec
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**Machine:** *Mac Mini (M2 Pro, 32GB RAM, 2023)*
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**Issues:** *Training failed twice due to lack of RAM*
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This is a technical matter, but on a Mac with Apple Silicon you can only choose between CPU or MPS (Apple's proprietary API).
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CPU has some compatibility but is too slow.
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MPS is somewhat faster but doesn't allow the use of optimization systems such as fp16.
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Zeta 2 was built using MPS.
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### Arguments of Trainer
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- **train epochs:** 3
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- **warmup steps:** 100
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### Datasets
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Details of the dataset used can be found [here](https://github.com/DiamondGotCat/Zeta-Dataset/releases/tag/zeta-2)
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## Links
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GitHub: [Zeta](https://github.com/DiamondGotCat/Zeta)
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---
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Zeta is just a small SLM.
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But don't forget that it has big dreams inside.
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