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README.md
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<a href="https://infix-ai.com/research/infir2/">🌐 Project Website</a>
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</p>
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We performed supervised fine-tuning on the **InfiR2-7B-base-FP8** with FP8 format in two stages using the InfiAlign-SFT-72k and InfiAlign-SFT-165k datasets
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<div align="center">
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| Parameter | Value |
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| **Batch Size** | 64 |
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| **Learning Rate** | 1e-5 |
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| **Minimum Learning Rate** | 1e-6 |
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| **Weight Decay** | 0.05 |
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| **Context Length** | 32k |
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The resulting model is the **InfiR2-7B-Instruct-FP8**.
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- Stable and Reproducible Performance
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- Efficient and Low memory Training
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## 🚀 InfiR2 Model Series
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<a href="https://infix-ai.com/research/infir2/">🌐 Project Website</a>
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</p>
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We performed supervised fine-tuning on the **InfiR2-7B-base-FP8** with FP8 format in two stages using the InfiAlign-SFT-72k and InfiAlign-SFT-165k datasets.
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The resulting model is the **InfiR2-7B-Instruct-FP8**.
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- Stable and Reproducible Performance
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- Efficient and Low memory Training
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**Hyperparameters**:
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<div align="center">
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| Parameter | Value |
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| :---: | :---: |
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| **Batch Size** | 64 |
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| **Learning Rate** | 1e-5 |
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| **Minimum Learning Rate** | 1e-6 |
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| **Weight Decay** | 0.05 |
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| **Context Length** | 32k |
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</div>
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## 🚀 InfiR2 Model Series
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