neural-chat-7B-v3-2-GPTQ [GPTQ]: benchmark results
TheBloke's GPTQ publication of Neural Chat 7B V3-2, whose original release is Intel/neural-chat-7b-v3-2. 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 1411 ± 35, rank #5585 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 59.79 | MC2 (%) (0-shot) | 74.4 |
| Open LLM Leaderboard v1 - ARC Challenge | 65.96 | Normalized accuracy (%) (25-shot) | 71.7 |
| Open LLM Leaderboard v1 - WinoGrande | 79.48 | Accuracy (%) (5-shot) | 69.4 |
| Open LLM Leaderboard v1 - GSM8K | 52.84 | Accuracy (%) (5-shot) | 64.6 |
| Open LLM Leaderboard v1 - HellaSwag | 83.24 | Normalized accuracy (%) (10-shot) | 57.1 |
| Open LLM Leaderboard v1 - MMLU | 60.29 | Accuracy (%) (5-shot) | 47.5 |
Interactive version: theaggregate.ai/model?slug=neural-chat-7b-v3-2-gptq-gptq · How It Works · Data refreshed daily, snapshot 2026-11-08.