RichardErkhov/

Josephgflowers_-_Qllama-.5B-Base-Wiki-Chat-RAG-gguf

Quantization made by Richard Erkhov.

Qllama-.5B-Base-Wiki-Chat-RAG - GGUF

Llamafyd version of Qwen .5B further fine tuned on wiki, math, science, and chat datasets. Based on Cinder data. This model should be fine tuned on further rag, function calling, programing, or assistant datasets for best performance. Next model will have a focus on rag.

This model is ok at rag. It is very verbose from being trained on wikipedia Q and A with a whole article as the answer. Tiny-textbooks and Cosmopedia 100k, all very long responses. It was also trained with normal RAG datasets, as well as a medical rag dataset I put together. Most of the common math chat datasets. Conversation datasets like hermes 1, fastchat, synthia, capybara, cinder, puffin, ect. I will work on putting together the full list and posting.