palmer

a better base model

palmer is a series of ~1b parameters language models fine-tuned to be used as base models instead of using custom prompts for tasks. This means that it can be further fine-tuned on more data with custom prompts as usual or be used for downstream tasks as any base model you can get. The model has the best of both worlds: some "bias" to act as an assistant, but also the abillity to predict the next-word from its internet knowledge base. It's a 1.1b llama 2 model so you can use it with your favorite tools/frameworks.

evaluation

training

Training took ~3.5 P100 gpu hours. It was trained on 15,000 gpt-4 shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.

Note: highly experimenal yet! Your feedback will make it better.

prompt

On this article, we are going to learn
palmer-001: about the different types of data that are used in the field of data science...

what is javascript
palmer-001: ? JavaScript is a programming language that is used to create dynamic websites and applications...

As you can notice, the model actually completes by default questions that are the most-likely to be asked, which is good because most people will use it to answer as a chatbot.

Choose this only if you would like to get a half-baked model to continue pre-training.