nateraw / goliath-120b

An auto-regressive causal LM created by combining 2x finetuned Llama-2 70B into one.

  • Public
  • 237.4K runs

Run time and cost

This model costs approximately $0.043 to run on Replicate, or 23 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 31 seconds. The predict time for this model varies significantly based on the inputs.

Readme

See the full model card here

The model we are using here is the AWQ quantized version, which can be found here