Model: code380/RoLlama3.1-8b-Instruct-DPO-Q5_0-GGUF
Author: code380
Tags: gguf, llama-cpp, gguf-my-repo, ro, dataset:OpenLLM-Ro/ro_dpo_helpsteer, base_model:OpenLLM-Ro/RoLlama3.1-8b-Instruct-DPO, base_model:quantized:OpenLLM-Ro/RoLlama3.1-8b-Instruct-DPO, license:cc-by-nc-4.0, model-index, endpoints_compatible, region:us, conversational
Base models (quantized): id: OpenLLM-Ro/RoLlama3.1-8b-Instruct-DPO
Card metadata: base_model: OpenLLM-Ro/RoLlama3.1-8b-Instruct-DPO
datasets: OpenLLM-Ro/ro_dpo_helpsteer
language: ro
license: cc-by-nc-4.0
tags: llama-cpp, gguf-my-repo
model-index: name: OpenLLM-Ro/RoLlama3.1-8b-Instruct-DPO-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: type: Score
value: 6.21
name: Score
verified: no, type: Score
value: 6.74
name: First turn
verified: no, type: Score
value: 5.69
name: Second turn
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: type: Score
value: 4.42
name: Score
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: type: accuracy
value: 52.74
name: Average accuracy
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_arc_challenge
type: OpenLLM-Ro/ro_arc_challenge
metrics: type: accuracy
value: 44.84
name: Average accuracy
verified: no, type: accuracy
value: 41.82
name: 0-shot
verified: no, type: accuracy
value: 43.7
name: 1-shot
verified: no, type: accuracy
value: 45.33
name: 3-shot
verified: no, type: accuracy
value: 46.1
name: 5-shot
verified: no, type: accuracy
value: 45.76
name: 10-shot
verified: no, type: accuracy
value: 46.36
name: 25-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: type: accuracy
value: 55.06
name: Average accuracy
verified: no, type: accuracy
value: 53.75
name: 0-shot
verified: no, type: accuracy
value: 54.94
name: 1-shot
verified: no, type: accuracy
value: 56.07
name: 3-shot
verified: no, type: accuracy
value: 55.47
name: 5-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: type: accuracy
value: 65.87
name: Average accuracy
verified: no, type: accuracy
value: 64.4
name: 0-shot
verified: no, type: accuracy
value: 66.22
name: 1-shot
verified: no, type: accuracy
value: 65.75
name: 3-shot
verified: no, type: accuracy
value: 67.09
name: 5-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: type: accuracy
value: 58.67
name: Average accuracy
verified: no, type: accuracy
value: 57.25
name: 0-shot
verified: no, type: accuracy
value: 58
name: 1-shot
verified: no, type: accuracy
value: 59.23
name: 3-shot
verified: no, type: accuracy
value: 59.3
name: 5-shot
verified: no, type: accuracy
value: 59.56
name: 10-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: type: accuracy
value: 44.17
name: Average accuracy
verified: no, type: accuracy
value: 36.47
name: 1-shot
verified: no, type: accuracy
value: 45.94
name: 3-shot
verified: no, type: accuracy
value: 50.11
name: 5-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: type: accuracy
value: 47.82
name: Average accuracy
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: type: macro-f1
value: 96.1
name: Average macro-f1
verified: no, type: macro-f1
value: 93.11
name: 0-shot
verified: no, type: macro-f1
value: 96.06
name: 1-shot
verified: no, type: macro-f1
value: 97.53
name: 3-shot
verified: no, type: macro-f1
value: 97.7
name: 5-shot
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: type: macro-f1
value: 55.37
name: Average macro-f1
verified: no, type: macro-f1
value: 65.61
name: 0-shot
verified: no, type: macro-f1
value: 55.73
name: 1-shot
verified: no, type: macro-f1
value: 46.33
name: 3-shot
verified: no, type: macro-f1
value: 53.82
name: 5-shot
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary_finetuned
type: LaRoSeDa_binary_finetuned
metrics: type: macro-f1
value: 0
name: Average macro-f1
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass_finetuned
type: LaRoSeDa_multiclass_finetuned
metrics: type: macro-f1
value: 0
name: Average macro-f1
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: type: bleu
value: 21.29
name: Average bleu
verified: no, type: bleu
value: 6.89
name: 0-shot
verified: no, type: bleu
value: 26.62
name: 1-shot
verified: no, type: bleu
value: 25.7
name: 3-shot
verified: no, type: bleu
value: 25.94
name: 5-shot
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: type: bleu
value: 21.86
name: Average bleu
verified: no, type: bleu
value: 2.16
name: 0-shot
verified: no, type: bleu
value: 16.65
name: 1-shot
verified: no, type: bleu
value: 33.41
name: 3-shot
verified: no, type: bleu
value: 35.22
name: 5-shot
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO_finetuned
type: WMT_EN-RO_finetuned
metrics: type: bleu
value: 0
name: Average bleu
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN_finetuned
type: WMT_RO-EN_finetuned
metrics: type: bleu
value: 0
name: Average bleu
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: type: exact_match
value: 21.58
name: Average exact_match
verified: no, type: f1
value: 36.54
name: Average f1
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: type: exact_match
value: 0
name: Average exact_match
verified: no, type: f1
value: 0
name: Average f1
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: type: spearman
value: 78.01
name: Average spearman
verified: no, type: pearson
value: 77.98
name: Average pearson
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: type: spearman
value: 0
name: Average spearman
verified: no, type: pearson
value: 0
name: Average pearson
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: type: exact_match
value: 8.99
name: 0-shot
verified: no, type: exact_match
value: 35.88
name: 1-shot
verified: no, type: exact_match
value: 31.26
name: 3-shot
verified: no, type: exact_match
value: 10.17
name: 5-shot
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: type: f1
value: 20
name: 0-shot
verified: no, type: f1
value: 59.41
name: 1-shot
verified: no, type: f1
value: 48.41
name: 3-shot
verified: no, type: f1
value: 18.33
name: 5-shot
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: type: spearman
value: 78.1
name: 1-shot
verified: no, type: spearman
value: 77.81
name: 3-shot
verified: no, type: spearman
value: 78.11
name: 5-shot
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: type: pearson
value: 78.3
name: 1-shot
verified: no, type: pearson
value: 77.58
name: 3-shot
verified: no, type: pearson
value: 78.06
name: 5-shot
verified: no
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Created: 2025-03-19 17:33:27