Flatpack on Flatpack (test)
0.113Mean Optimality GapGranite EvoTune
Evaluation results
| Method | Links | |
|---|---|---|
| Granite EvoTuneSampling Budget=22.4k2025.04 | 0.113 | |
| Granite EvoTuneSampling Budget=16k2025.04 | 0.116 | |
| Granite FunSearchSampling Budget=22.4k2025.04 | 0.118 | |
| Granite FunSearchSampling Budget=16k2025.04 | 0.12 | |
| Granite EvoTuneSampling Budget=9.6k2025.04 | 0.12 | |
| Phi EvoTuneSampling Budget=22.4k2025.04 | 0.121 | |
| Granite FunSearchSampling Budget=9.6k2025.04 | 0.124 | |
| Llama EvoTuneSampling Budget=22.4k2025.04 | 0.126 | |
| Phi FunSearchSampling Budget=22.4k2025.04 | 0.131 | |
| Phi EvoTuneSampling Budget=16k2025.04 | 0.133 | |
| Llama EvoTuneSampling Budget=16k2025.04 | 0.134 | |
| Phi FunSearchSampling Budget=16k2025.04 | 0.142 | |
| Llama FunSearchSampling Budget=22.4k2025.04 | 0.148 | |
| Llama EvoTuneSampling Budget=9.6k2025.04 | 0.149 | |
| Llama FunSearchSampling Budget=16k2025.04 | 0.152 | |
| Phi EvoTuneSampling Budget=9.6k2025.04 | 0.156 | |
| Llama FunSearchSampling Budget=9.6k2025.04 | 0.165 | |
| Phi FunSearchSampling Budget=9.6k2025.04 | 0.166 |