wandb
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mistral-7b-zephyr-dpo

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 ---
+license: mit
 library_name: transformers
+datasets:
+- argilla/dpo-mix-7k
+base_model: wandb/mistral-7b-zephyr-sft
 ---
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/llm_surgery/gemma-zephyr)
+# Mistral 7B Zephyr DPO V2
+The [Zephyr](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) DPO recipe applied on top of Mistral 7B (new recipe with chatML format)
+## Model description
+- **Model type:** A 7.2B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
+- **Language(s) (NLP):** Primarily English
+- **Finetuned from model:** [wandb/mistral-7b-zephyr-sft](https://huggingface.co/wandb/mistral-7b-zephyr-sft)
+## Recipe
+We trained using the [alignment handbook recipe](https://github.com/huggingface/alignment-handbook/blob/main/scripts/run_dpo.py) and logging to W&B
+Visit the [W&B workspace here](https://wandb.ai/llm_surgery/gemma-zephyr?nw=nwusercapecape)
+## Compute provided by Lambda Labs - 8xA100 80GB node