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mpasila/Finnish-Alpaca-Tiny-V2-LoRA-7B
Finnish-Alpaca-Tiny-V2-LoRA-7B is a machine learning model from mpasila. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
LoRA trained in 4-bit with 2k context using LumiOpen/Viking-7B as the base model for 1 epoch.
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From the Hugging Face model README
LoRA trained in 4-bit with 2k context using LumiOpen/Viking-7B as the base model for 1 epoch.
Dataset used is mpasila/Finnish-Alpaca-Tiny.
It works relatively well for question and answering.
It uses Alpaca format but with a translated instruction at the start:
{
"instruction,output": "Alla on ohje, jossa kuvataan tehtävä. Kirjoita vastaus, joka täyttää pyynnön asianmukaisesti.\n\n### Instruction:\n%instruction%\n\n### Response:\n%output%",
"instruction,input,output": "Alla on ohje, jossa kuvataan tehtävä ja joka on yhdistetty kontekstia lisäävään syötteeseen. Kirjoita vastaus, joka täyttää pyynnön asianmukaisesti.\n\n### Instruction:\n%instruction%\n\n### Input:\n%input%\n\n### Response:\n%output%"
}
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.