Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+datasets:
+- appvoid/no-prompt-15k
+---
+![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 600m llama 2 model so you can use it with your favorite tools/frameworks.
+
+### evaluation 🧪
+note that this is a zero-shot setting as opposite to open llm leaderboard's few-shot evals
+```
+   Model           ARC_C   HellaSwag  PIQA  Winogrande Average
+palmer-001	     | 0.2807 | 0.5524 | 0.7106 | 0.5896 | 0.5333 |
+tinyllama-2.5    | 0.3191 | 0.5896 | 0.7307 | 0.5872 | 0.5566 |
+palmer-003-turbo | 0.3106 | ~      | 0.7247 | 0.5951 |        |
+palmer-002       | 0.3242 | 0.5956 | 0.7345 | 0.5888 | 0.5607 |
+
+```
+
+This model is as good as tinyllama base while being half the size.
+
+### training 🦾
+Training took 1.5 rtx 2060 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>