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Finnish-Viking-Alpaca-V1-7B

Text Generation
Transformers
Safetensors
Finnish
llama
text-generation-inference
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Finnish-Viking-Alpaca-V1-7B
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---
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](https://huggingface.co/mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B/).

LoRA trained with text-generation-webui in 4-bit using [LumiOpen/Viking-7B](https://huggingface.co/LumiOpen/Viking-7B/) as the base model for 1 epoch. Dataset used with the LoRA is [pinzhenchen/alpaca-cleaned-fi](https://huggingface.co/datasets/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](https://colab.research.google.com/drive/1a76Y21GfPtmVs71Uztlgk2xzPA4_vVjs?usp=sharing). 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 | 0.3943 |
| [mpasila/Finnish-Alpaca-Small-7B](https://huggingface.co/mpasila/Finnish-Alpaca-Small-7B) | 7B | Instruct | 0.3586 |
| [mpasila/Finnish-Alpaca-Tiny-V2-7B](https://huggingface.co/mpasila/Finnish-Alpaca-Tiny-V2-7B) | 7B | Instruct | **0.4654** |
| [mpasila/Alpacazord-Viking-7B](https://huggingface.co/mpasila/Alpacazord-Viking-7B) | 7B | Instruct | 0.4123 |
| [mpasila/NordicAlpaca-Finnish-V1-7B](https://huggingface.co/mpasila/NordicAlpaca-Finnish-V1-7B) | 7B | Instruct | 0.3891 |
| [Finnish-NLP/llama-7b-finnish-instruct-v0.1](https://huggingface.co/Finnish-NLP/llama-7b-finnish-instruct-v0.1) | 7B | Instruct | 0.4365 |
| [Finnish-NLP/llama-7b-finnish-instruct-v0.2](https://huggingface.co/Finnish-NLP/llama-7b-finnish-instruct-v0.2) | 7B | Instruct | 0.3993 |
| [Finnish-NLP/llama-7b-finnish](https://huggingface.co/Finnish-NLP/llama-7b-finnish) | 7B | Base | 0.2350 |
| [LumiOpen/Viking-7B (1000B)](https://huggingface.co/LumiOpen/Viking-7B) | 7B | Base | 0.3721 |
| [HPLT/gpt-7b-nordic-prerelease](https://huggingface.co/HPLT/gpt-7b-nordic-prerelease) | 7B | Base | 0.3169 |


[Source](https://docs.google.com/spreadsheets/d/1rqJb9dQVihg-Z1_Ras1L_-wuzPg9xNzpdmM2x5HueeY/edit?usp=sharing)

#### FIN-bench scores:

|                      Task                      |Version|       Metric        |Value |   |Stderr|
|------------------------------------------------|------:|---------------------|-----:|---|-----:|
|bigbench_analogies                              |      0|multiple_choice_grade|0.6308|±  |0.0425|
|bigbench_arithmetic_1_digit_addition            |      0|multiple_choice_grade|0.6400|±  |0.0482|
|bigbench_arithmetic_1_digit_division            |      0|multiple_choice_grade|0.7391|±  |0.0936|
|bigbench_arithmetic_1_digit_multiplication      |      0|multiple_choice_grade|0.2800|±  |0.0451|
|bigbench_arithmetic_1_digit_subtraction         |      0|multiple_choice_grade|0.5000|±  |0.0503|
|bigbench_arithmetic_2_digit_addition            |      0|multiple_choice_grade|0.1800|±  |0.0386|
|bigbench_arithmetic_2_digit_division            |      0|multiple_choice_grade|0.4800|±  |0.0502|
|bigbench_arithmetic_2_digit_multiplication      |      0|multiple_choice_grade|0.0800|±  |0.0273|
|bigbench_arithmetic_2_digit_subtraction         |      0|multiple_choice_grade|0.2500|±  |0.0435|
|bigbench_arithmetic_3_digit_addition            |      0|multiple_choice_grade|0.1800|±  |0.0386|
|bigbench_arithmetic_3_digit_division            |      0|multiple_choice_grade|0.2500|±  |0.0435|
|bigbench_arithmetic_3_digit_multiplication      |      0|multiple_choice_grade|0.1700|±  |0.0378|
|bigbench_arithmetic_3_digit_subtraction         |      0|multiple_choice_grade|0.5000|±  |0.0503|
|bigbench_arithmetic_4_digit_addition            |      0|multiple_choice_grade|0.2600|±  |0.0441|
|bigbench_arithmetic_4_digit_division            |      0|multiple_choice_grade|0.2500|±  |0.0435|
|bigbench_arithmetic_4_digit_multiplication      |      0|multiple_choice_grade|0.2100|±  |0.0409|
|bigbench_arithmetic_4_digit_subtraction         |      0|multiple_choice_grade|0.5200|±  |0.0502|
|bigbench_arithmetic_5_digit_addition            |      0|multiple_choice_grade|0.3900|±  |0.0490|
|bigbench_arithmetic_5_digit_division            |      0|multiple_choice_grade|0.1600|±  |0.0368|
|bigbench_arithmetic_5_digit_multiplication      |      0|multiple_choice_grade|0.1000|±  |0.0302|
|bigbench_arithmetic_5_digit_subtraction         |      0|multiple_choice_grade|0.6100|±  |0.0490|
|bigbench_cause_and_effect_one_sentence          |      0|multiple_choice_grade|0.6471|±  |0.0676|
|bigbench_cause_and_effect_one_sentence_no_prompt|      0|multiple_choice_grade|0.6863|±  |0.0656|
|bigbench_cause_and_effect_two_sentences         |      0|multiple_choice_grade|0.3922|±  |0.0690|
|bigbench_emotions                               |      0|multiple_choice_grade|0.2812|±  |0.0357|
|bigbench_empirical_judgments                    |      0|multiple_choice_grade|0.2828|±  |0.0455|
|bigbench_general_knowledge                      |      0|multiple_choice_grade|0.4000|±  |0.0590|
|bigbench_hhh_alignment_harmless                 |      0|multiple_choice_grade|0.3621|±  |0.0637|
|bigbench_hhh_alignment_helpful                  |      0|multiple_choice_grade|0.3559|±  |0.0629|
|bigbench_hhh_alignment_honest                   |      0|multiple_choice_grade|0.3729|±  |0.0635|
|bigbench_hhh_alignment_other                    |      0|multiple_choice_grade|0.5581|±  |0.0766|
|bigbench_intent_recognition                     |      0|multiple_choice_grade|0.1879|±  |0.0149|
|bigbench_misconceptions                         |      0|multiple_choice_grade|0.5373|±  |0.0432|
|bigbench_paraphrase                             |      0|multiple_choice_grade|0.5150|±  |0.0354|
|bigbench_sentence_ambiguity                     |      0|multiple_choice_grade|0.5000|±  |0.0651|
|bigbench_similarities_abstraction               |      0|multiple_choice_grade|0.7368|±  |0.0508|

### Framework versions

- PEFT 0.8.2