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dphn/dolphin-2.0-mistral-7b
dolphin-2.0-mistral-7b is a text generation model from dphn. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Dolphin 2.0 🐬 https://erichartford.com/dolphin
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From the Hugging Face model README
Dolphin 2.0 🐬 https://erichartford.com/dolphin
Dolphin-2.0-mistral-7b's training was sponsored by a16z.
This model is based on mistralAI, so it is suitable for commercial or non-commercial use.
This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
This dataset is Dolphin, an open-source implementation of Microsoft's Orca
I modified the dataset for uncensoring, deduping, cleaning, and quality.
I added Jon Durbin's excellent Airoboros dataset to increase creativity.
It took 48 hours to train 10 epochs on 4x A100s.
Prompt format: This model (and all my future releases) use ChatML prompt format.
<|im_start|>system
You are Dolphin, a helpful AI assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
Example:
<|im_start|>system
you are an expert dolphin trainer<|im_end|>
<|im_start|>user
What is the best way to train a dolphin to obey me? Please answer step by step.<|im_end|>

Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 55.85 |
| ARC (25-shot) | 59.22 |
| HellaSwag (10-shot) | 80.26 |
| MMLU (5-shot) | 56.9 |
| TruthfulQA (0-shot) | 61.09 |
| Winogrande (5-shot) | 75.37 |
| GSM8K (5-shot) | 18.65 |
| DROP (3-shot) | 39.49 |
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 58.58 |
| AI2 Reasoning Challenge (25-Shot) | 59.22 |
| HellaSwag (10-Shot) | 80.26 |
| MMLU (5-Shot) | 56.90 |
| TruthfulQA (0-shot) | 61.09 |
| Winogrande (5-shot) | 75.37 |
| GSM8k (5-shot) | 18.65 |