Added Models.

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README.md

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+# Pico-OpenLAiNN-500M-GGUF 🤗
+
+Hey there fellow researchers, developers, and AI enthusiasts! Today I'm releasing a new, biggest Pico-OpenLAiNN Model. This LLM was trained on the full 32B tokens that the entire Open-PicoLAiNN family is trained on.
+
+These are the GGUF quants of the models. For the original models, you can find them [here](https://huggingface.co/UUFO-Aigis/Pico-OpenLAiNN-500M)
+## Models Overview
+
+- **Pico-OpenLAiNN-100**: The smallest of the bunch, this 100M parameter model is perfect for quick experiments and applications where computational resources are *extremely* limited.
+- **Pico-OpenLAiNN-250**: This is the middle child of the PicoLAiNN family, it's still tiny at 250M parameters but is more capable than the 100M parameter model.
+- **Pico-OpenLAiNN-500**: My current "Heavyweight" Model, this model has 500M parameters and is the most capable of the Pico-OpenLAiNN models.
+## Pretraining Details
+
+This specific version of Pico LAiNN was trained on just 32B tokens of the fineweb dataset.
+
+## Other information:
+
+- **Compatibility**: Built to be compatible with existing projects that use LLAMA 2's tokenizer and architecture.
+- **Ease of Use**: No need to reinvent the wheel. These models are ready to be plugged into your applications.
+- **Open Source**: Fully open source, so you can tweak, tune, and twist them to your heart's content.
+
+# Benchy :3
+
+|    Tasks     | Value |   |Stderr|
+|--------------|------:|---|-----:|
+|arc_challenge | 0.1903|±  | 0.115|
+|arc_easy      | 0.4617|±  |0.0102|
+|boolq         | 0.6034|±  |0.0086|
+|hellaswag     | 0.3400|±  |0.0047|
+|lambada_openai| 0.3670|±  |0.0067|
+|piqa          | 0.6795|±  |0.0109|
+|winogrande    | 0.4925|±  |0.0141|
+
+## Future Plans
+
+- **More Models**: I'm currenetly training the bigger siblings of this models, including a 1B parameter version and beyond. 2-4 Billion parameter versions are planned. These will be Released as OpenLAiNN.
+- **New architecture**: This is still up in the air and I'm still developing it, and will release if I deem it to be actually useful, so stay tuned, this will likely be named FLaRE-LAiNN.
+- **Paper**: A detailed paper will be made available for those interested in the details. 
+
+## Credit Where Credit's Due
+
+If you find these models useful and decide to use these models, a link to this repository would be highly appreciated. I am a one man show running this. Thanks 🤗
+## Contact
+If you have questions, Please reach out to me at [email protected]
+
+<p align="center">
+  <img src="UUFO.png" alt="U.U.F.O Research Logo" width="250"/>
+</p>