gemma-4-26B-A4B-it-qat-MTP-GGUF
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This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on - Magpie-Align/Magpie-Pro-MT-300K-v0.1, - Magpie-Align/Magpie-Reasoning-150K, and - Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese Compared to v0.2, we enhance its multi-lingual ability by incorporating a new dataset with 200K Chinese instructions. It achieves performance comparable with the official Llama-3-8B-Instruct Model **with SFT only**! The detailed benchmark performance is as follows: **How to use it?** Please check the official Llama 3 repository for detailed instructions. Simply replace the original `model_id` with `Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3`.
We first perform SFT using: * Magpie-Align/Magpie-Pro-MT-300K-v0.1 * Magpie-Align/Magpie-Reasoning-150K * Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese * **SFT Model Checkpoint:** Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3 The overall performance is much better than the official Llama-3-8B-Instruct Model! Plus, it can answer Chinese queries frequently, thanks to our new Chinese instruction dataset! We compare our Llama-3-8B-Magpie-Align with official and other **open-aligned LLMs** that have been fine-tuned from base models and have publicly released their training datasets. The results are as follows:
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