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My first exl2 quant of my favourite go-to roleplaying model. Can fit into my empty 24GB VRAM with 32k context in 8-bit cache. Might do a 4.25bpw quant later.

Original model: https://huggingface.co/Doctor-Shotgun/Nous-Capybara-limarpv3-34B

Prompt format: https://github.com/tatsu-lab/stanford_alpaca

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Dataset used to train MarinaraSpaghetti/Doctor-Shotgun_Nous-Capybara-limarpv3-34B-4.2bpw-h6-exl2

Collection including MarinaraSpaghetti/Doctor-Shotgun_Nous-Capybara-limarpv3-34B-4.2bpw-h6-exl2