The resulting model has 140 layers and approximately 122 billion parameters.
See mergekit-config.yml for details on the merge method used.
See the exl2-* branches for exllama2 quantizations. The 4.85 bpw quant should fit in 80GB VRAM, and the 3.0 bpw quant should (just barely) fit in 48GB VRAM with 4k context.