Create README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: zephyr-7b-beta
+  results: []
+license: mit
+datasets:
+- HuggingFaceH4/ultrachat_200k
+- HuggingFaceH4/ultrafeedback_binarized
+language:
+- en
+base_model: mistralai/Mistral-7B-v0.1
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+<img src="https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha/resolve/main/thumbnail.png" alt="Zephyr Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+
+
+# Model Card for Zephyr 7B β
+
+Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr-7B-β is the second model in the series, and is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) that was trained on on a mix of publicly available, synthetic datasets using [Direct Preference Optimization (DPO)](https://arxiv.org/abs/2305.18290). We found that removing the in-built alignment of these datasets boosted performance on [MT Bench](https://huggingface.co/spaces/lmsys/mt-bench) and made the model more helpful. However, this means that model is likely to generate problematic text when prompted to do so and should only be used for educational and research purposes. You can find more details in the [technical report](https://arxiv.org/abs/2310.16944).
+
+
+## Model description
+
+- **Model type:** A 7B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
+- **Language(s) (NLP):** Primarily English
+- **License:** MIT
+- **Finetuned from model:** [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** https://github.com/huggingface/alignment-handbook
+- **Demo:** https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat
+- **Chatbot Arena:** Evaluate Zephyr 7B against 10+ LLMs in the LMSYS arena: http://arena.lmsys.org
+
+## Performance
+
+At the time of release, Zephyr-7B-β is the highest ranked 7B chat model on the [MT-Bench](https://huggingface.co/spaces/lmsys/mt-bench) and [AlpacaEval](https://tatsu-lab.github.io/alpaca_eval/) benchmarks:
+
+| Model | Size | Alignment | MT-Bench (score) | AlpacaEval (win rate %) |
+|-------------|-----|----|---------------|--------------|
+| StableLM-Tuned-α | 7B| dSFT |2.75| -|
+| MPT-Chat |  7B |dSFT |5.42| -|
+| Xwin-LMv0.1 | 7B| dPPO| 6.19| 87.83|
+| Mistral-Instructv0.1 | 7B|  - | 6.84 |-|
+| Zephyr-7b-α |7B|  dDPO| 6.88| -|
+| **Zephyr-7b-β** 🪁 | **7B** | **dDPO** | **7.34** | **90.60** |
+| Falcon-Instruct |  40B |dSFT |5.17 |45.71|
+| Guanaco | 65B |  SFT |6.41| 71.80|
+| Llama2-Chat |  70B |RLHF |6.86| 92.66|
+| Vicuna v1.3 |  33B |dSFT |7.12 |88.99|
+| WizardLM v1.0 |  70B |dSFT |7.71 |-|
+| Xwin-LM v0.1 |   70B |dPPO |- |95.57|
+| GPT-3.5-turbo | - |RLHF |7.94 |89.37|
+| Claude 2 |  - |RLHF |8.06| 91.36|
+| GPT-4 |  -| RLHF |8.99| 95.28|