allenai
/

Llama-3.1-Tulu-3-70B-broken

@@ -1,199 +1,96 @@
 ---
 library_name: transformers
-tags: []
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-# Model Card for Model ID
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-## Model Details
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 ---
+license: llama3.1
+language:
+- en
+pipeline_tag: text-generation
 library_name: transformers
 ---
+**This is a model missing the LM head, caused by an unfortunate bug in checkpoint saving. We are releasing with for research purposes to try and reconstruct an LM head**
+<img src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/tulu3/Tulu3-logo.png" alt="Tulu 3 banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+# Llama-3.1-Tulu-3-70B-broken
+Tülu3 is a leading instruction following model family, offering fully open-source data, code, and recipes designed to serve as a comprehensive guide for modern post-training techniques.
+Tülu3 is designed for state-of-the-art performance on a diversity of tasks in addition to chat, such as MATH, GSM8K, and IFEval.
+## Model description
+- **Model type:** A model trained on a mix of publicly available, synthetic and human-created datasets.
+- **Language(s) (NLP):** Primarily English
+- **License:** Llama 3.1 Community License Agreement
+- **Finetuned from model:** allenai/Llama-3.1-Tulu-3-70B-DPO
+### Model Sources
+- **Training Repository:** https://github.com/allenai/open-instruct
+- **Eval Repository:** https://github.com/allenai/olmes
+- **Paper:** https://allenai.org/papers/tulu-3-report.pdf (arXiv soon)
+- **Demo:** https://playground.allenai.org/
+### Model Family
+| **Stage**           | **Llama 3.1 8B**                                                                                          | **Llama 3.1 70B**                                                                                         |
+|----------------------|----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|
+| **Base Model**       | [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B)                                | [meta-llama/Llama-3.1-70B](https://huggingface.co/meta-llama/Llama-3.1-70B)                              |
+| **SFT**              | [allenai/Llama-3.1-Tulu-3-8B-SFT](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B-SFT)                | [allenai/Llama-3.1-Tulu-3-70B-SFT](https://huggingface.co/allenai/Llama-3.1-Tulu-3-70B-SFT)              |
+| **DPO**              | [allenai/Llama-3.1-Tulu-3-8B-DPO](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B-DPO)                | [allenai/Llama-3.1-Tulu-3-70B-DPO](https://huggingface.co/allenai/Llama-3.1-Tulu-3-70B-DPO)              |
+| **Final Models (RLVR)**     | [allenai/Llama-3.1-Tulu-3-8B](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B)                        | [allenai/Llama-3.1-Tulu-3-70B](https://huggingface.co/allenai/Llama-3.1-Tulu-3-70B)                      |
+| **Reward Model (RM)**| [allenai/Llama-3.1-Tulu-3-8B-RM](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B-RM)                                                     | (Same as 8B)                                                     |
+### Using this model
+When loading as follows:
+```
+from transformers import AutoModelForCausalLM
+broken_model = AutoModelForCausalLM.from_pretrained("allenai/Llama-3.1-Tulu-3-70B-broken")
+```
+Will throw an error on **LM head weights randomly initializied**.
+## License and use
+All Llama 3.1 Tülu3 models are released under Meta's [Llama 3.1 Community License Agreement](https://www.llama.com/llama3_1/license/).
+Llama 3.1 is licensed under the Llama 3.1 Community License, Copyright © Meta Platforms, Inc.
+Tülu3 is intended for research and educational use.
+For more information, please see our [Responsible Use Guidelines](https://allenai.org/responsible-use).
+The models have been fine-tuned using a dataset mix with outputs generated from third party models and are subject to additional terms:
+[Gemma Terms of Use](https://ai.google.dev/gemma/terms) and [Qwen License Agreement](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE) (models were improved using Qwen 2.5).
+## Citation
+If Tülu3 or any of the related materials were helpful to your work, please cite:
+```
+@article{lambert2024tulu3,
+  title = {Tülu 3: Pushing Frontiers in Open Language Model Post-Training},
+  author = {
+    Nathan Lambert and
+    Jacob Morrison and
+    Valentina Pyatkin and
+    Shengyi Huang and
+    Hamish Ivison and
+    Faeze Brahman and
+    Lester James V. Miranda and
+    Alisa Liu and
+    Nouha Dziri and
+    Shane Lyu and
+    Yuling Gu and
+    Saumya Malik and
+    Victoria Graf and
+    Jena D. Hwang and
+    Jiangjiang Yang and
+    Ronan Le Bras and
+    Oyvind Tafjord and
+    Chris Wilhelm and
+    Luca Soldaini and
+    Noah A. Smith and
+    Yizhong Wang and
+    Pradeep Dasigi and
+    Hannaneh Hajishirzi
+  },
+  year = {2024},
+  email = {tulu@allenai.org}
+}
+```