--- library_name: transformers tags: - unsloth - trl - sft --- ``` e88 88e d8 d888 888b 8888 8888 ,"Y88b 888 8e d88 C8888 8888D 8888 8888 "8" 888 888 88b d88888 Y888 888P Y888 888P ,ee 888 888 888 888 "88 88" "88 88" "88 888 888 888 888 b 8b, e88'Y88 d8 888 d888 'Y ,"Y88b 888,8, d88 ,e e, 888 C8888 "8" 888 888 " d88888 d88 88b 888 Y888 ,d ,ee 888 888 888 888 , 888 "88,d88 "88 888 888 888 "YeeP" 888 PROUDLY PRESENTS ``` # Interim-MN-iMat-GGUF Quantized with love from fp16. Original model author: [rAIfle](https://huggingface.co/rAIfle/) * Importance Matrix calculated using [groups_merged.txt](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) in 92 chunks, n_ctx=512, and fp16 precision weights Original model README [here](https://huggingface.co/rAIfle/Interim-MN-fp16) and below: This one was a doozy. Three restarted runs of which one failed at the last possible moment... Anyway, the result is decent enough and passes my own Nala-testing so it's not too bad. Not gonna benchmark this myself but if anyone feels the need to then I'd be happy to include numbers here. Probably best if using normal Nemo settings, no weird stuff. (Or just use the recommended ones in the [Recommended Settings repo](https://huggingface.co/Quant-Cartel/Recommended-Settings/tree/main/Interim-MN))