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Model creator:Google Original model: gemma-2-9b-it GGUF quantization: provided by bartowski based on llama.cpp release b3389
Model Settings:
Requires LM Studio 0.2.27, update can be downloaded from here: https://lmstudio.ai
Model Summary:
Gemma 2 instruct is a a brand new model from Google in the Gemma family based on the technology from Gemini. Trained on a combination of web documents, code, and mathematics, this model should excel at anything you throw at it.
At only 9b parameters, this is a great size for those with limited VRAM or RAM, while still performing very well.
Prompt Template:
Choose the 'Google Gemma Instruct' preset in your LM Studio.
Under the hood, the model will see a prompt that's formatted like so:
Note that this model does not support a System prompt.
Technical Details
Gemma 2 features the same extremely large vocabulary from release 1.1, which tends to help with multilingual and coding proficiency.
Gemma 2 9B was trained on a wide dataset of 8 trillion tokens, 30% larger than Gemma 1.1, using similar datasets including:
Web Documents: A diverse collection of web text ensures the model is exposed to a broad range of linguistic styles, topics, and vocabulary. Primarily English-language content.
Code: Exposing the model to code helps it to learn the syntax and patterns of programming languages, which improves its ability to generate code or understand code-related questions.
Mathematics: Training on mathematical text helps the model learn logical reasoning, symbolic representation, and to address mathematical queries.
For more details check out their blog post here: https://huggingface.co/blog/gemma2
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
🙏 Special thanks to Kalomaze and Dampf for their work on the dataset (linked here) that was used for calculating the imatrix for all sizes.
Disclaimers
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