Llama 2 13B GPTQ [GPTQ]: benchmark results
TheBloke's GPTQ publication of Llama 2 13B, whose original release is meta-llama/Llama-2-13b-hf. Conversion publication is credited separately from the original model creator. Quantization method does not establish a single effective bit width or exact evaluated branch for this catalog row. Provider: TheBloke. Access: Open.
Aggregate Rating 1350 ± 35, rank #7719 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - WinoGrande | 76.16 | Accuracy (%) (5-shot) | 46.4 |
| Open LLM Leaderboard v1 - HellaSwag | 81.48 | Normalized accuracy (%) (10-shot) | 45.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.13 | Normalized accuracy (%) (25-shot) | 42.2 |
| Open LLM Leaderboard v1 - MMLU | 54.45 | Accuracy (%) (5-shot) | 33.9 |
| Open LLM Leaderboard v1 - GSM8K | 11.3 | Accuracy (%) (5-shot) | 32.7 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 37.07 | MC2 (%) (0-shot) | 4.8 |
Interactive version: theaggregate.ai/model?slug=llama-2-13b-gptq-gptq · How It Works · Data refreshed daily, snapshot 2026-11-08.