GSM8K ↗1.2%
Alpaca (7B) · GSM8K · EM · % ↗
Reported model / MODEL EVIDENCE
Alpaca (7B)
6 benchmarks · 15 observations · 6 sources
Scores at a glance
6 benchmarks · large dot: Alpaca (7B); small dots: closest models where reported
FActScore ↗39.7%
Alpaca 7B · FActScore · estimator A · Unlabeled entity-biography evaluation ↗
MT-Bench & MT-Bench-101 ↗4.54 / 10
Alpaca-7B · MT-Bench & MT-Bench-101 · GPT-4 judge score · original model variants ↗
AlpacaEval ↗26.5%
alpaca-7b · AlpacaEval · AlpacaEval 1 · GPT-4 judged win rate · original leaderboard example ↗
HaluEval 2.0 ↗53.52%
Alpaca 7B · HaluEval 2.0 · Biomedicine · MaHR · published main comparison ↗
9 more reported results
24.42% · Alpaca 7B · HaluEval 2.0 · Biomedicine · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗
53.47% · Alpaca 7B · HaluEval 2.0 · Finance · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗
24.46% · Alpaca 7B · HaluEval 2.0 · Finance · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗
40.74% · Alpaca 7B · HaluEval 2.0 · Science · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗
12.74% · Alpaca 7B · HaluEval 2.0 · Science · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗
68.95% · Alpaca 7B · HaluEval 2.0 · Education · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗
22.38% · Alpaca 7B · HaluEval 2.0 · Education · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗
65.65% · Alpaca 7B · HaluEval 2.0 · Open Domain · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗
29.57% · Alpaca 7B · HaluEval 2.0 · Open Domain · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗
BoolQ ↗77.8%
Alpaca (7B) · Accuracy ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
There are not enough shared scored settings to identify close comparisons reliably.
Sources
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena — published result table ↗
All 13 authors
Zheng, Lianmin, Chiang, Wei-Lin, Sheng, Ying, Zhuang, Siyuan, Wu, Zhanghao, Zhuang, Yonghao, Lin, Zi, Li, Zhuohan, Li, Dacheng, Xing, Eric P., Zhang, Hao, Gonzalez, Joseph E., Stoica, Ion
- The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models — published result table ↗
All 7 authors
Li, Junyi, Chen, Jie, Ren, Ruiyang, Cheng, Xiaoxue, Zhao, Wayne Xin, Nie, Jian-Yun, Wen, Ji-Rong
- Holistic Evaluation of Language Models (HELM) ↗
- Holistic Evaluation of Language Models (HELM) ↗
- FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation — published result table ↗
All 9 authors
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
- AlpacaEval: An Automatic Evaluator of Instruction-following Models ↗
All 8 authors
Xuechen Li, Tianyi Zhang, Yann Dubois, Rohan Taori, Ishaan Gulrajani, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
Names used in source tables
Alpaca (7B) · Alpaca 7B · Alpaca-7B · alpaca-7b