Model: OpenLLM-Ro/RoLlama2-7b-Instruct
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:OpenLLM-Ro/RoLlama2-7b-Base, base_model:finetune:OpenLLM-Ro/RoLlama2-7b-Base, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoLlama2-7b-Base
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoLlama2-7b-Base
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/RoLlama2-7b-Instruct-2025-04-23
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 4.97
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.56
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 45.51
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: 45.7
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 40.36
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 63.26
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 60.25
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 18.02
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 45.48
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 97.6
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 60.22
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 27.21
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 22.15
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 47.39
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 65.77
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 59.05
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 56.45
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 5.56
verified: no, name: Second turn
type: Score
value: 4.39
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: 43.02
verified: no, name: 1-shot
type: accuracy
value: 45.84
verified: no, name: 3-shot
type: accuracy
value: 45.24
verified: no, name: 5-shot
type: accuracy
value: 46.19
verified: no, name: 10-shot
type: accuracy
value: 46.7
verified: no, name: 25-shot
type: accuracy
value: 47.22
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 38.64
verified: no, name: 1-shot
type: accuracy
value: 40.77
verified: no, name: 3-shot
type: accuracy
value: 41.19
verified: no, name: 5-shot
type: accuracy
value: 40.86
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 63.61
verified: no, name: 1-shot
type: accuracy
value: 62.75
verified: no, name: 3-shot
type: accuracy
value: 63.46
verified: no, name: 5-shot
type: accuracy
value: 63.22
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 59.79
verified: no, name: 1-shot
type: accuracy
value: 59.62
verified: no, name: 3-shot
type: accuracy
value: 60.12
verified: no, name: 5-shot
type: accuracy
value: 60.71
verified: no, name: 10-shot
type: accuracy
value: 61.01
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 6.14
verified: no, name: 3-shot
type: accuracy
value: 22.52
verified: no, name: 5-shot
type: accuracy
value: 25.4
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 98.17
verified: no, name: 1-shot
type: macro-f1
value: 96.3
verified: no, name: 3-shot
type: macro-f1
value: 97.8
verified: no, name: 5-shot
type: macro-f1
value: 98.13
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 49.8
verified: no, name: 1-shot
type: macro-f1
value: 56.03
verified: no, name: 3-shot
type: macro-f1
value: 65.33
verified: no, name: 5-shot
type: macro-f1
value: 69.7
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 19.34
verified: no, name: 1-shot
type: bleu
value: 29.89
verified: no, name: 3-shot
type: bleu
value: 29.99
verified: no, name: 5-shot
type: bleu
value: 29.62
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 2.29
verified: no, name: 1-shot
type: bleu
value: 14.74
verified: no, name: 3-shot
type: bleu
value: 34.82
verified: no, name: 5-shot
type: bleu
value: 36.75
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 42.86
verified: no, name: 1-shot
type: exact_match
value: 47.82
verified: no, name: 3-shot
type: exact_match
value: 48.32
verified: no, name: 5-shot
type: exact_match
value: 50.59
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 63.66
verified: no, name: 1-shot
type: f1
value: 65.27
verified: no, name: 3-shot
type: f1
value: 66.04
verified: no, name: 5-shot
type: f1
value: 68.12
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 54.51
verified: no, name: 3-shot
type: spearman
value: 60.98
verified: no, name: 5-shot
type: spearman
value: 61.65
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 54.35
verified: no, name: 3-shot
type: pearson
value: 57.88
verified: no, name: 5-shot
type: pearson
value: 57.13
verified: no
Likes: 2 | All-time downloads: 11031
Created: 2024-10-09 12:44:53