AI가 움직이고 미래가 업데이트됩니다.Llama-3-8B-Magpie-Align-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:
번역 준비 중입니다. 원문을 표시합니다.
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: