metadata
language:
- fi
base_model: LumiOpen/Viking-7B
license: apache-2.0
datasets:
- pinzhenchen/alpaca-cleaned-fi
Model Card for Finnish-Viking-Alpaca-V1-7B
This is a merge of mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B.
LoRA trained with text-generation-webui in 4-bit using LumiOpen/Viking-7B as the base model for 1 epoch. Dataset used with the LoRA is pinzhenchen/alpaca-cleaned-fi.
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%"
}
Merged using this Colab notebook. It might not be the best way to merge a quantized LoRA on to a float16 model but I just wanted to quickly do something. You can try merging it better if you want.
Evaluation
| Model | Size | Type | FIN-bench (score) |
|---|---|---|---|
| mpasila/Finnish-Viking-Alpaca-V1-7B | 7B | Instruct | |
| mpasila/NordicAlpaca-Finnish-V1-7B | 7B | Instruct | 0.3891 |
| Finnish-NLP/llama-7b-finnish-instruct-v0.1 | 7B | Instruct | 0.4365 |
| Finnish-NLP/llama-7b-finnish-instruct-v0.2 | 7B | Instruct | 0.3993 |
| Finnish-NLP/llama-7b-finnish | 7B | Base | 0.2350 |
| HPLT/gpt-7b-nordic-prerelease | 7B | Base | 0.3169 |
FIN-bench scores:
Not yet added.
Framework versions
- PEFT 0.8.2