Flatpack on Flatpack (val)
0.105Mean Optimality GapGranite EvoTune
Evaluation results
| Method | Links | |
|---|---|---|
| Granite EvoTuneSampling Budget=22.4k2025.04 | 0.105 | |
| Granite EvoTuneSampling Budget=16k2025.04 | 0.109 | |
| Granite FunSearchSampling Budget=22.4k2025.04 | 0.111 | |
| Granite FunSearchSampling Budget=16k2025.04 | 0.113 | |
| Granite EvoTuneSampling Budget=9.6k2025.04 | 0.113 | |
| Phi EvoTuneSampling Budget=22.4k2025.04 | 0.115 | |
| Granite FunSearchSampling Budget=9.6k2025.04 | 0.117 | |
| Phi FunSearchSampling Budget=22.4k2025.04 | 0.125 | |
| Llama EvoTuneSampling Budget=22.4k2025.04 | 0.126 | |
| Phi EvoTuneSampling Budget=16k2025.04 | 0.127 | |
| Llama EvoTuneSampling Budget=16k2025.04 | 0.136 | |
| Phi FunSearchSampling Budget=16k2025.04 | 0.137 | |
| Llama FunSearchSampling Budget=22.4k2025.04 | 0.148 | |
| Llama EvoTuneSampling Budget=9.6k2025.04 | 0.15 | |
| Llama FunSearchSampling Budget=16k2025.04 | 0.155 | |
| Phi EvoTuneSampling Budget=9.6k2025.04 | 0.156 | |
| Phi FunSearchSampling Budget=9.6k2025.04 | 0.163 | |
| Llama FunSearchSampling Budget=9.6k2025.04 | 0.168 |