Model: OpenLLM-Ro/RoLlama3-8b-Instruct-2025-04-23
Author: OpenLLM-Ro
Tags: safetensors, llama, ro, dataset:OpenLLM-Ro/ro_sft_alpaca, dataset:OpenLLM-Ro/ro_sft_alpaca_gpt4, dataset:OpenLLM-Ro/ro_sft_dolly, dataset:OpenLLM-Ro/ro_sft_selfinstruct_gpt4, dataset:OpenLLM-Ro/ro_sft_norobots, dataset:OpenLLM-Ro/ro_sft_orca, dataset:OpenLLM-Ro/ro_sft_camel, dataset:OpenLLM-Ro/ro_sft_oasst, dataset:OpenLLM-Ro/ro_sft_ultrachat, dataset:OpenLLM-Ro/ro_sft_magpie_mt, dataset:OpenLLM-Ro/ro_sft_magpie_reasoning, arxiv:2406.18266, base_model:meta-llama/Meta-Llama-3-8B-Instruct, base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: meta-llama/Meta-Llama-3-8B-Instruct
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets: OpenLLM-Ro/ro_sft_alpaca, OpenLLM-Ro/ro_sft_alpaca_gpt4, OpenLLM-Ro/ro_sft_dolly, OpenLLM-Ro/ro_sft_selfinstruct_gpt4, OpenLLM-Ro/ro_sft_norobots, OpenLLM-Ro/ro_sft_orca, OpenLLM-Ro/ro_sft_camel, OpenLLM-Ro/ro_sft_oasst, OpenLLM-Ro/ro_sft_ultrachat, OpenLLM-Ro/ro_sft_magpie_mt, OpenLLM-Ro/ro_sft_magpie_reasoning
model-index: name: OpenLLM-Ro/RoLlama3-8b-Instruct-2025-04-23
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 6.39
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.05
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 54.66
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_arc_challenge
type: OpenLLM-Ro/ro_arc_challenge
metrics: name: Average accuracy
type: accuracy
value: 50.31
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 55.91
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 67.01
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 61.73
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 47.41
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 45.61
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 96.21
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 59.15
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 23.32
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 22.5
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 11.01
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 23.55
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 76.78
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 74.36
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 7.12
verified: no, name: Second turn
type: Score
value: 5.66
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_arc_challenge
type: OpenLLM-Ro/ro_arc_challenge
metrics: name: 0-shot
type: accuracy
value: 48.33
verified: no, name: 1-shot
type: accuracy
value: 49.27
verified: no, name: 3-shot
type: accuracy
value: 49.19
verified: no, name: 5-shot
type: accuracy
value: 50.9
verified: no, name: 10-shot
type: accuracy
value: 51.67
verified: no, name: 25-shot
type: accuracy
value: 52.53
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 54.17
verified: no, name: 1-shot
type: accuracy
value: 56.19
verified: no, name: 3-shot
type: accuracy
value: 56.9
verified: no, name: 5-shot
type: accuracy
value: 56.37
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 65.82
verified: no, name: 1-shot
type: accuracy
value: 66.22
verified: no, name: 3-shot
type: accuracy
value: 66.85
verified: no, name: 5-shot
type: accuracy
value: 69.14
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 61.67
verified: no, name: 1-shot
type: accuracy
value: 62.06
verified: no, name: 3-shot
type: accuracy
value: 61.73
verified: no, name: 5-shot
type: accuracy
value: 61.28
verified: no, name: 10-shot
type: accuracy
value: 61.93
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 35.63
verified: no, name: 3-shot
type: accuracy
value: 51.33
verified: no, name: 5-shot
type: accuracy
value: 55.27
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 94.05
verified: no, name: 1-shot
type: macro-f1
value: 96.46
verified: no, name: 3-shot
type: macro-f1
value: 96.97
verified: no, name: 5-shot
type: macro-f1
value: 97.37
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 60.34
verified: no, name: 1-shot
type: macro-f1
value: 60.94
verified: no, name: 3-shot
type: macro-f1
value: 54.55
verified: no, name: 5-shot
type: macro-f1
value: 60.77
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 5.38
verified: no, name: 1-shot
type: bleu
value: 29.6
verified: no, name: 3-shot
type: bleu
value: 30.62
verified: no, name: 5-shot
type: bleu
value: 27.67
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 1.14
verified: no, name: 1-shot
type: bleu
value: 19.96
verified: no, name: 3-shot
type: bleu
value: 34.22
verified: no, name: 5-shot
type: bleu
value: 34.69
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 16.39
verified: no, name: 1-shot
type: exact_match
value: 18.49
verified: no, name: 3-shot
type: exact_match
value: 5.46
verified: no, name: 5-shot
type: exact_match
value: 3.7
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 33.84
verified: no, name: 1-shot
type: f1
value: 29.11
verified: no, name: 3-shot
type: f1
value: 15.27
verified: no, name: 5-shot
type: f1
value: 15.97
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 76.64
verified: no, name: 3-shot
type: spearman
value: 76.88
verified: no, name: 5-shot
type: spearman
value: 76.82
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 73.14
verified: no, name: 3-shot
type: pearson
value: 74.78
verified: no, name: 5-shot
type: pearson
value: 75.16
verified: no
Likes: 0 | All-time downloads: 119
Created: 2025-03-16 13:58:09