💫 Community Model> datagemma rag 27b it by Google
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Model creator: google
Original model: datagemma-rag-27b-it
GGUF quantization: provided by bartowski based on llama.cpp release b3715
Model Summary:
DataGemma is a series of fine-tuned Gemma 2 models used to help LLMs access and incorporate reliable public statistical data from Data Commons into their responses. DataGemma RAG is used with Retrieval Augmented Generation, where it is trained to take a user query and generate natural language queries that can be understood by Data Commons' existing natural language interface.
Prompt Template:
Use the Jinja preset provided.
Technical Details
8k context.
More details here: https://datacommons.org/link/DataGemmaPaper
Google's disclaimer
Disclaimer: You're accessing a very early version of DataGemma. It is meant for trusted tester use (primarily for academic and research use) and not yet ready for commercial or general public use. This version was trained on a very small corpus of examples and may exhibit unintended, and at times controversial or inflammatory behavior. Please anticipate errors and limitations as we actively develop this large language model interface.
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
Disclaimers
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