EXL2 quants of ryzen88/Llama-3-70b-Arimas-story-RP-V1

3.00 bits per weight
3.50 bits per weight
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Llama-3-70b-Arimas-story-RP-V1

This is really a followup and improvement off my original Lumi-Tess model.

model

A large context uncencored Llama 3 instruct model focussed on story & RP. I found the Smaug version of lama very impressive, exept for a couple of quirks and the default context window. This merge is with the Giraffe instruct for long context window, and basically a smaug - lumi tess merger. I am planning to do the same with a gradient model and compaire it to this giraffe version. Breadcrumbs_ties really is awesome.

This is a merge of pre-trained language models created using mergekit. A big thanks to the creators of the models used in this merge

Merge Details

Merge Method

This model was merged using the breadcrumbs_ties merge method using Z:\Llama-3-Giraffe-70B-Instruct as a base.

Models Merged

The following models were included in the merge:

\Smaug-Llama-3-70B-Instruct
\Llama-3-Lumimaid-70B-v0.1-alt
\Tess-2.0-Llama-3-70B-v0.2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: \Llama-3-Giraffe-70B-Instruct
    parameters:
      weight: 0.25
      density: 0.90
      gamma: 0.01
  - model: \Smaug-Llama-3-70B-Instruct
    parameters:
      weight: 0.30
      density: 0.90
      gamma: 0.01
  - model: \Tess-2.0-Llama-3-70B-v0.2
    parameters:
      weight: 0.15
      density: 0.90
      gamma: 0.01
  - model: \Llama-3-Lumimaid-70B-v0.1-alt
    parameters:
      weight: 0.30
      density: 0.90
      gamma: 0.01
merge_method: breadcrumbs_ties
base_model: \Llama-3-Giraffe-70B-Instruct
dtype: bfloat16