Re-trained because I have no idea if I used the fully trained model or the partially trained model (of Viking-7B), since it apparently was just released. (After re-training the score lowered noticeably so I wonder if I screwed up something.)

Prompt format: Alpaca

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%"
}

Evaluation

Model	Size	Type	FIN-bench (score)
mpasila/Finnish-Alpaca-Small-7B	7B	Instruct	0.3586
mpasila/Finnish-Alpaca-Tiny-V2-7B	7B	Instruct	0.4654
mpasila/Alpacazord-Viking-7B	7B	Instruct	0.4123
mpasila/NordicAlpaca-Finnish-V1-7B	7B	Instruct	0.3891
mpasila/Finnish-Viking-Alpaca-V1-7B	7B	Instruct	0.3943
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	Metric	Value		Stderr
bigbench_analogies	multiple_choice_grade	0.5923	±	0.0433
bigbench_arithmetic_1_digit_addition	multiple_choice_grade	0.2700	±	0.0446
bigbench_arithmetic_1_digit_division	multiple_choice_grade	0.4783	±	0.1065
bigbench_arithmetic_1_digit_multiplication	multiple_choice_grade	0.2600	±	0.0441
bigbench_arithmetic_1_digit_subtraction	multiple_choice_grade	0.2200	±	0.0416
bigbench_arithmetic_2_digit_addition	multiple_choice_grade	0.1700	±	0.0378
bigbench_arithmetic_2_digit_division	multiple_choice_grade	0.3600	±	0.0482
bigbench_arithmetic_2_digit_multiplication	multiple_choice_grade	0.2000	±	0.0402
bigbench_arithmetic_2_digit_subtraction	multiple_choice_grade	0.1300	±	0.0338
bigbench_arithmetic_3_digit_addition	multiple_choice_grade	0.3100	±	0.0465
bigbench_arithmetic_3_digit_division	multiple_choice_grade	0.2100	±	0.0409
bigbench_arithmetic_3_digit_multiplication	multiple_choice_grade	0.1600	±	0.0368
bigbench_arithmetic_3_digit_subtraction	multiple_choice_grade	0.2300	±	0.0423
bigbench_arithmetic_4_digit_addition	multiple_choice_grade	0.3900	±	0.0490
bigbench_arithmetic_4_digit_division	multiple_choice_grade	0.2300	±	0.0423
bigbench_arithmetic_4_digit_multiplication	multiple_choice_grade	0.2100	±	0.0409
bigbench_arithmetic_4_digit_subtraction	multiple_choice_grade	0.4500	±	0.0500
bigbench_arithmetic_5_digit_addition	multiple_choice_grade	0.4800	±	0.0502
bigbench_arithmetic_5_digit_division	multiple_choice_grade	0.0700	±	0.0256
bigbench_arithmetic_5_digit_multiplication	multiple_choice_grade	0.1700	±	0.0378
bigbench_arithmetic_5_digit_subtraction	multiple_choice_grade	0.5800	±	0.0496
bigbench_cause_and_effect_one_sentence	multiple_choice_grade	0.6275	±	0.0684
bigbench_cause_and_effect_one_sentence_no_prompt	multiple_choice_grade	0.6667	±	0.0667
bigbench_cause_and_effect_two_sentences	multiple_choice_grade	0.5098	±	0.0707
bigbench_emotions	multiple_choice_grade	0.3312	±	0.0373
bigbench_empirical_judgments	multiple_choice_grade	0.3333	±	0.0476
bigbench_general_knowledge	multiple_choice_grade	0.2857	±	0.0544
bigbench_hhh_alignment_harmless	multiple_choice_grade	0.3793	±	0.0643
bigbench_hhh_alignment_helpful	multiple_choice_grade	0.3559	±	0.0629
bigbench_hhh_alignment_honest	multiple_choice_grade	0.3559	±	0.0629
bigbench_hhh_alignment_other	multiple_choice_grade	0.5349	±	0.0770
bigbench_intent_recognition	multiple_choice_grade	0.1546	±	0.0138
bigbench_misconceptions	multiple_choice_grade	0.5448	±	0.0432
bigbench_paraphrase	multiple_choice_grade	0.5300	±	0.0354
bigbench_sentence_ambiguity	multiple_choice_grade	0.4333	±	0.0645
bigbench_similarities_abstraction	multiple_choice_grade	0.6974	±	0.0530

Uploaded model

Developed by: mpasila
License: apache-2.0
Finetuned from model : LumiOpen/Viking-7B

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

RichardErkhov/mpasila_-_Finnish-Alpaca-Small-7B-8bits

Original model description:

Prompt format: Alpaca

Evaluation

FIN-bench scores:

Uploaded model

RichardErkhov/
mpasila_-_Finnish-Alpaca-Small-7B-8bits