Infatoshi/kernelbench-v3-runs
KernelBench-v3 — Agent Runs 2071 agent evaluations from the v3 sweep (2026-02): 10 frontier models × {RTX 3090, H100, B200} × 43–58 problems per GPU. Each row is one (model, gpu, problem) triple with correctness, speedup, baseline timing, token usage, cost, and a pointer to the agent's winning solution.py. Companion datasets: Infatoshi/kernelbench-v3-problems — 60 problem definitions Infatoshi/kernelbench-hard-runs — newer KernelBench-Hard sweep (12 models × 7 problems on… See the full description on the dataset page: https://huggingface.co/datasets/Infatoshi/kernelbench-v3-runs.
| Author / organization | Infatoshi |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 2.4K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 30 April 2026 |
| Last updated at source | 30 April 2026 |
Recent changes
- 16 Oct 2026 Description: KernelBench-v3 — Agent Runs 2071 agent evaluations from the v3 sweep (2026-02): 10 frontier models × {RTX 3090, H100, B200} × 43–58 problems per GPU. Each row is one (model, gpu, problem) triple with correctness, speedup, baseline timing, t → KernelBench-v3 — Agent Runs 2071 agent evaluations from the v3 sweep (2026-02): 10 frontier models × {RTX 3090, H100, B200} × 43–58 problems per GPU. Each row is one (model, gpu, problem) triple with correctness, speedup, baseline timing, t
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