DavidLanz/llama2_7b_taiwan_invoice_qlora

This PEFT weight is used to specify McDonald’s invoice data in Taiwan to gain insights. Disclaimer: This model is for a time series problem on LLM performance, and it’s not for investment advice; any prediction results are not a basis for investment reference. This repo contains QLoRA format model files for Meta’s Llama 2 7B-chat. The following bitsandbytes quantization config was used during training: — quantmethod: bitsandbytes — loadin8bit: False — loadin4bit: True — llmint8threshold: 6.0 — llmint8skipmodules: None — llmint8enablefp32cpuoffload: False — llmint8hasfp16weight: False — bnb4bitquanttype: nf4 — bnb4bitusedoublequant: False — bnb4bitcompute_dtype: float16

Модальности:
Генерация текста

Задача: Генерация текста
Автор: DavidLanz
Теги: peft, facebook, meta, llama, llama-2, en
Лайков: 3  |  Загрузок: 0

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