Updated daily at 05:00 UTC
- Released
- May 2022
- Status
- Legacy
- Context
- 2K
- Max output
- —
- Input per 1M tokens
- —
- Output per 1M tokens
- —
- Open weights
- Yes
- License
- opt-175b-license
- Parameters
- 13B
- Knowledge cutoff
- —
- Reasoning
- No
- Modalities
- text → text
Category scores
Out of 100, from independent and third-party results only, by method category-2026-09-29.1.
Not enough independent results yet
Only independent and third-party results rank a model; self-reported and unattributed numbers never do.
Benchmark results
Every result we hold for this model, with who ran it and where it was published.
Knowledge & reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| AI2 Reasoning Challenge (ARC) | Challenge set accuracy | 35.8% | Self-reported | — | — | XGen-7B Technical Report via Epoch AI |
| HellaSwag | Accuracy | 69.9% | Self-reported | — | — | XGen-7B Technical Report via Epoch AI |
| MMLU | Accuracy | 25.1% | Self-reported | — | — | XGen-7B Technical Report via Epoch AI |
| MMLU | Accuracy | 24.4% | Self-reported | — | — | XGen-7B Technical Report via Epoch AI |
| OpenBookQA | Accuracy | 39.8% | Self-reported | — | — | XGen-7B Technical Report via Epoch AI |
| PIQA | Accuracy | 75.7% | Self-reported | — | — | XGen-7B Technical Report via Epoch AI |
| WinoGrande | Accuracy | 64.7% | Self-reported | — | — | XGen-7B Technical Report via Epoch AI |