Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+datasets:
+- appvoid/no-prompt-50k
+---
+![palmer](https://huggingface.co/appvoid/palmer-001/resolve/main/palmer.jpeg)
+# 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|
+|tinyllama-2.5t|0.3191|0.5896|	0.7307|	0.5872|
+|palmer-002|0.3242|**0.5956**|**0.7345**|0.5888|
+|palmer-002-ultra|**0.3319**| ~ |0.7252|**0.6038**|
+
+### 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.
+
+
+### prompt
+```
+no prompt
+```
+<a href="https://ko-fi.com/appvoid" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 48px !important;width: 180px !important; filter: invert(70%);" ></a>