Model: OpenLLM-Ro/RoLlama3.1-8b-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/Llama-3.1-8B-Instruct, base_model:finetune:meta-llama/Llama-3.1-8B-Instruct, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: meta-llama/Llama-3.1-8B-Instruct
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: meta-llama/Llama-3.1-8B-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/RoLlama3.1-8b-Instruct-2025-04-23
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 6.43
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.28
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 53.36
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: 48.97
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 55.17
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 66.52
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 60.73
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 42.03
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 46.71
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 95.32
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 60.84
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 23.18
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 25.11
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 10.74
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 19.75
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 73.53
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 74.93
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 6.78
verified: no, name: Second turn
type: Score
value: 6.09
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: 45.24
verified: no, name: 1-shot
type: accuracy
value: 47.67
verified: no, name: 3-shot
type: accuracy
value: 49.36
verified: no, name: 5-shot
type: accuracy
value: 50.13
verified: no, name: 10-shot
type: accuracy
value: 50.81
verified: no, name: 25-shot
type: accuracy
value: 50.64
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 54.23
verified: no, name: 1-shot
type: accuracy
value: 56.36
verified: no, name: 3-shot
type: accuracy
value: 55.34
verified: no, name: 5-shot
type: accuracy
value: 54.74
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 64.96
verified: no, name: 1-shot
type: accuracy
value: 66.77
verified: no, name: 3-shot
type: accuracy
value: 67.09
verified: no, name: 5-shot
type: accuracy
value: 67.25
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 59.72
verified: no, name: 1-shot
type: accuracy
value: 60.3
verified: no, name: 3-shot
type: accuracy
value: 60.87
verified: no, name: 5-shot
type: accuracy
value: 61.14
verified: no, name: 10-shot
type: accuracy
value: 61.63
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 30.86
verified: no, name: 3-shot
type: accuracy
value: 43.9
verified: no, name: 5-shot
type: accuracy
value: 51.33
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 90.97
verified: no, name: 1-shot
type: macro-f1
value: 95.53
verified: no, name: 3-shot
type: macro-f1
value: 97.1
verified: no, name: 5-shot
type: macro-f1
value: 97.67
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 63.2
verified: no, name: 1-shot
type: macro-f1
value: 64.47
verified: no, name: 3-shot
type: macro-f1
value: 55.88
verified: no, name: 5-shot
type: macro-f1
value: 59.8
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 4.92
verified: no, name: 1-shot
type: bleu
value: 28.01
verified: no, name: 3-shot
type: bleu
value: 30.16
verified: no, name: 5-shot
type: bleu
value: 29.61
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 1.43
verified: no, name: 1-shot
type: bleu
value: 24.78
verified: no, name: 3-shot
type: bleu
value: 37.31
verified: no, name: 5-shot
type: bleu
value: 36.93
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 11.18
verified: no, name: 1-shot
type: exact_match
value: 26.47
verified: no, name: 3-shot
type: exact_match
value: 3.95
verified: no, name: 5-shot
type: exact_match
value: 1.34
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 25.76
verified: no, name: 1-shot
type: f1
value: 39.25
verified: no, name: 3-shot
type: f1
value: 8.4
verified: no, name: 5-shot
type: f1
value: 5.58
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 73.52
verified: no, name: 3-shot
type: spearman
value: 74.02
verified: no, name: 5-shot
type: spearman
value: 73.06
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 75.81
verified: no, name: 3-shot
type: pearson
value: 74.54
verified: no, name: 5-shot
type: pearson
value: 74.43
verified: no
Likes: 0 | All-time downloads: 293
Created: 2025-04-22 06:43:57