Llama 2 7B GPTQ [GPTQ]: benchmark results
TheBloke's GPTQ publication of Llama 2 7B, whose original release is meta-llama/Llama-2-7b-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 1286 ± 36, rank #8900 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - HellaSwag | 77.59 | Normalized accuracy (%) (10-shot) | 31.2 |
| Open LLM Leaderboard v1 - WinoGrande | 72.93 | Accuracy (%) (5-shot) | 30.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 52.05 | Normalized accuracy (%) (25-shot) | 26.6 |
| Open LLM Leaderboard v1 - GSM8K | 5 | Accuracy (%) (5-shot) | 23.6 |
| Open LLM Leaderboard v1 - MMLU | 43.99 | Accuracy (%) (5-shot) | 23.1 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 39.32 | MC2 (%) (0-shot) | 10.7 |
Interactive version: theaggregate.ai/model?slug=llama-2-7b-gptq-gptq · How It Works · Data refreshed daily, snapshot 2026-11-08.