Edit model card

Good Robot πŸ€–

β†’ There is an updated version of this model available, please see Good Robot 2 β†’.

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 πŸ™

Training Data:

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

Downloads last month
16
Safetensors
Model size
7.24B params
Tensor type
BF16
Β·
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train kubernetes-bad/good-robot