初始化项目，由ModelHub XC社区提供模型

Model: SakanaAI/TAID-LLM-1.5B
Source: Original Platform

README.md

@@ -0,0 +1,54 @@
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+base_model:
+- Qwen/Qwen2-1.5B-Instruct
+datasets:
+- HuggingFaceTB/smollm-corpus
+---
+# 🐟 TAID-LLM-1.5B
+
+🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](https://arxiv.org/abs/2501.16937) | 📝 [Blog](https://sakana.ai/taid/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
+
+**TAID-LLM-1.5B** is an English language model created through TAID (Temporally Adaptive Interpolated Distillation), our new knowledge distillation method. 
+We used [Qwen2-72B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) as the teacher model and [Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct) as the student model. 
+ 
+## Model Details
+
+- **Developed by:** [Sakana AI](https://sakana.ai/)
+- **Model type:** Autoregressive Language Model
+- **Language(s):** English
+- **License:** [Apache License, Version 2.0](./LICENSE)
+- **Paper:** https://arxiv.org/abs/2501.16937
+- **Blog:** https://sakana.ai/taid/
+
+## Uses
+This model is provided for research and development purposes only and should be considered as an experimental prototype. 
+It is not intended for commercial use or deployment in mission-critical environments. 
+Use of this model is at the user's own risk, and its performance and outcomes are not guaranteed. 
+Sakana AI shall not be liable for any direct, indirect, special, incidental, or consequential damages, or any loss arising from the use of this model, regardless of the results obtained. 
+Users must fully understand the risks associated with the use of this model and use it at their own discretion.
+
+
+## Acknowledgement
+
+We would like to thank the developers of the source models for their contributions and for making their work available. 
+
+This model is based on results obtained from a project, JPNP20017, subsidized by the New Energy and Industrial Technology Development Organization (NEDO).
+
+## Citation
+
+```bibtex
+@misc{sakana2025taid,
+      title         = {TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models}, 
+      author.       = {Makoto Shing and Kou Misaki and Han Bao and Sho Yokoi and Takuya Akiba},
+      year          = {2025},
+      eprint        = {2501.16937},
+      archivePrefix = {arXiv},
+      primaryClass  = {cs.LG},
+      url           = {https://arxiv.org/abs/2501.16937}
+}
+```