![palmer](https://huggingface.co/appvoid/palmer-001/resolve/main/new-logo.jpg)
# 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
|Model|	ARC_C|	HellaSwag|	PIQA|	Winogrande|
|------|-----|-----------|------|-------------|
|tinyllama-2t|	0.2807|	0.5463|	0.7067|	0.5683|
|palmer-001|	0.2807|	0.5524|	0.7106|	0.5896|


### 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.
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{"language": ["en"], "license": "apache-2.0", "datasets": ["appvoid/no-prompt-15k"], "pipeline_tag": "text-generation"}
transformers pytorch llama text-generation en dataset:appvoid/no-prompt-15k license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us