transformers safetensors mistral text-generation en dataset:HuggingFaceH4/no_robots license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
datasets:
- HuggingFaceH4/no_robots
language:
- en
license: cc-by-nc-4.0
---

# Good Robot 🤖

> [!NOTE]
> → There is an updated version of this model available, please see [Good Robot 2 →](https://huggingface.co/kubernetes-bad/good-robot-2).


The model "Good Robot" had one simple goal in mind: to be a good instruction-following model that doesn't talk like ChatGPT.

Built upon the Mistral 7b base, this model aims to provide responses that are as human-like as possible, thanks to some DPO training using the (for now, private) `minerva-ai/yes-robots-dpo` dataset.


HuggingFaceH4/no-robots was used as the base for generating a custom dataset to create DPO pairs.

It should follow instructions and be generally as smart as a typical Mistral model - just not as soulless and full of GPT slop.

## Prompt Format:

Alpaca, my beloved ❤️
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{your prompt goes here}

### Response:
```

## Huge Thanks:
- Gryphe for DPO scripts and all the patience 🙏

## Training Data:
- [HuggingFaceH4/no_robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots)
- [MinervaAI/yes-robots-dpo](https://huggingface.co/MinervaAI)
- private datasets with common GPTisms


## Limitations:

While I did my best to minimize GPTisms, no model is perfect, and there may still be instances where the generated content has GPT's common phrases - I have a suspicion that's due to them being engrained into Mistral model itself.

## License:
cc-by-nc-4.0
