Model: OpenLLM-Ro/RoMistral-7b-Instruct
Author: OpenLLM-Ro
Tags: safetensors, mistral, 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:mistralai/Mistral-7B-v0.3, base_model:finetune:mistralai/Mistral-7B-v0.3, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: mistralai/Mistral-7B-v0.3
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: mistralai/Mistral-7B-v0.3
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/RoMistral-7b-Instruct-2025-04-23
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 6.24
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.36
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 54.4
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: 52.86
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 52.33
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 68.57
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 63.5
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 38.15
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 51.01
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 97.67
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 61.79
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 28.69
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 19.23
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 49.05
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 69.11
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 78.67
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 77.08
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: 5.7
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: 50.04
verified: no, name: 1-shot
type: accuracy
value: 50.99
verified: no, name: 3-shot
type: accuracy
value: 53.3
verified: no, name: 5-shot
type: accuracy
value: 53.73
verified: no, name: 10-shot
type: accuracy
value: 54.07
verified: no, name: 25-shot
type: accuracy
value: 55.01
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 51.04
verified: no, name: 1-shot
type: accuracy
value: 52.53
verified: no, name: 3-shot
type: accuracy
value: 53.22
verified: no, name: 5-shot
type: accuracy
value: 52.52
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 66.38
verified: no, name: 1-shot
type: accuracy
value: 68.9
verified: no, name: 3-shot
type: accuracy
value: 68.82
verified: no, name: 5-shot
type: accuracy
value: 70.17
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 62.61
verified: no, name: 1-shot
type: accuracy
value: 63.19
verified: no, name: 3-shot
type: accuracy
value: 63.46
verified: no, name: 5-shot
type: accuracy
value: 63.92
verified: no, name: 10-shot
type: accuracy
value: 64.34
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 27.98
verified: no, name: 3-shot
type: accuracy
value: 40.46
verified: no, name: 5-shot
type: accuracy
value: 46.02
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 97.87
verified: no, name: 1-shot
type: macro-f1
value: 96.73
verified: no, name: 3-shot
type: macro-f1
value: 98.2
verified: no, name: 5-shot
type: macro-f1
value: 97.87
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 45.15
verified: no, name: 1-shot
type: macro-f1
value: 65.77
verified: no, name: 3-shot
type: macro-f1
value: 66.57
verified: no, name: 5-shot
type: macro-f1
value: 69.66
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 28.92
verified: no, name: 1-shot
type: bleu
value: 28.42
verified: no, name: 3-shot
type: bleu
value: 28.85
verified: no, name: 5-shot
type: bleu
value: 28.58
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 3.56
verified: no, name: 1-shot
type: bleu
value: 9.6
verified: no, name: 3-shot
type: bleu
value: 29.53
verified: no, name: 5-shot
type: bleu
value: 34.25
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 45.21
verified: no, name: 1-shot
type: exact_match
value: 49.83
verified: no, name: 3-shot
type: exact_match
value: 50.34
verified: no, name: 5-shot
type: exact_match
value: 50.84
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 66.4
verified: no, name: 1-shot
type: f1
value: 68.92
verified: no, name: 3-shot
type: f1
value: 70.68
verified: no, name: 5-shot
type: f1
value: 70.44
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 79.08
verified: no, name: 3-shot
type: spearman
value: 78.65
verified: no, name: 5-shot
type: spearman
value: 78.29
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 77.79
verified: no, name: 3-shot
type: pearson
value: 76.89
verified: no, name: 5-shot
type: pearson
value: 76.57
verified: no
Likes: 3 | All-time downloads: 23346
Created: 2024-10-09 17:23:20