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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+TAID-LLM-1.5B - GGUF
+- Model creator: https://huggingface.co/SakanaAI/
+- Original model: https://huggingface.co/SakanaAI/TAID-LLM-1.5B/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [TAID-LLM-1.5B.Q2_K.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q2_K.gguf) | Q2_K | 0.63GB |
+| [TAID-LLM-1.5B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.IQ3_XS.gguf) | IQ3_XS | 0.68GB |
+| [TAID-LLM-1.5B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.IQ3_S.gguf) | IQ3_S | 0.71GB |
+| [TAID-LLM-1.5B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q3_K_S.gguf) | Q3_K_S | 0.71GB |
+| [TAID-LLM-1.5B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.IQ3_M.gguf) | IQ3_M | 0.72GB |
+| [TAID-LLM-1.5B.Q3_K.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q3_K.gguf) | Q3_K | 0.77GB |
+| [TAID-LLM-1.5B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q3_K_M.gguf) | Q3_K_M | 0.77GB |
+| [TAID-LLM-1.5B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q3_K_L.gguf) | Q3_K_L | 0.82GB |
+| [TAID-LLM-1.5B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.IQ4_XS.gguf) | IQ4_XS | 0.84GB |
+| [TAID-LLM-1.5B.Q4_0.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q4_0.gguf) | Q4_0 | 0.87GB |
+| [TAID-LLM-1.5B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.IQ4_NL.gguf) | IQ4_NL | 0.88GB |
+| [TAID-LLM-1.5B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q4_K_S.gguf) | Q4_K_S | 0.88GB |
+| [TAID-LLM-1.5B.Q4_K.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q4_K.gguf) | Q4_K | 0.92GB |
+| [TAID-LLM-1.5B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q4_K_M.gguf) | Q4_K_M | 0.92GB |
+| [TAID-LLM-1.5B.Q4_1.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q4_1.gguf) | Q4_1 | 0.95GB |
+| [TAID-LLM-1.5B.Q5_0.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q5_0.gguf) | Q5_0 | 1.02GB |
+| [TAID-LLM-1.5B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q5_K_S.gguf) | Q5_K_S | 1.02GB |
+| [TAID-LLM-1.5B.Q5_K.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q5_K.gguf) | Q5_K | 1.05GB |
+| [TAID-LLM-1.5B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q5_K_M.gguf) | Q5_K_M | 1.05GB |
+| [TAID-LLM-1.5B.Q5_1.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q5_1.gguf) | Q5_1 | 1.1GB |
+| [TAID-LLM-1.5B.Q6_K.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q6_K.gguf) | Q6_K | 1.18GB |
+| [TAID-LLM-1.5B.Q8_0.gguf](https://huggingface.co/RichardErkhov/SakanaAI_-_TAID-LLM-1.5B-gguf/blob/main/TAID-LLM-1.5B.Q8_0.gguf) | Q8_0 | 1.53GB |
+
+
+
+
+Original model description:
+---
+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}
+}
+```
+