ColorShadow-7B: benchmark results
A Mistral-family gradient SLERP merge by nlpguy. The release recipe specifies layer-dependent attention and feed-forward interpolation; the numbered versions use distinct recipes. Provider: nlpguy. Access: Open.
Aggregate Rating 1424 ± 36, rank #4977 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 67.83 | Normalized accuracy (%) (25-shot) | 78.3 |
| Open LLM Leaderboard v1 - WinoGrande | 80.58 | Accuracy (%) (5-shot) | 74.7 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 59.56 | MC2 (%) (0-shot) | 73.9 |
| Open LLM Leaderboard v1 - HellaSwag | 85.15 | Normalized accuracy (%) (10-shot) | 72.2 |
| Open LLM Leaderboard v1 - GSM8K | 55.19 | Accuracy (%) (5-shot) | 66.8 |
| Open LLM Leaderboard v1 - MMLU | 61.69 | Accuracy (%) (5-shot) | 52.6 |
Interactive version: theaggregate.ai/model?slug=colorshadow-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.