kcaverly / nous-capybara-34b-gguf

A SOTA Nous Research finetune of 200k Yi-34B fine tuned on the Capybara dataset.

  • Public
  • 1.9K runs
  • GitHub
  • Paper
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Run time and cost

This model costs approximately $2.22 to run on Replicate, or 0 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 L40S GPU hardware. Predictions typically complete within 38 minutes. The predict time for this model varies significantly based on the inputs.

Readme

Nous Capybara 34B is a SOTA Yi-34b 200k Fine tuned on the Capybara dataset. While the entire model can handle 200k, this version has been restricted to 32k for memory reasons.

The original model can be found here. The quantized version used is Q4_0, and can be found here.