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Finnish-Viking-Alpaca-V1-7B-exl2-4bpw

Text Generation
Transformers
Finnish
llama
Inference Endpoints
4-bit precision
exl2
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metadata
language:
  - fi
base_model: mpasila/Finnish-Viking-Alpaca-V1-7B
license: apache-2.0
datasets:
  - pinzhenchen/alpaca-cleaned-fi

This is an ExLlamaV2 quantized model in 4bpw of mpasila/Finnish-Viking-Alpaca-V1-7B using the default calibration dataset.

Original Model card:

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 0.3943
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
LumiOpen/Viking-7B (1000B) 7B Base 0.3721
HPLT/gpt-7b-nordic-prerelease 7B Base 0.3169

Source

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