Created using the defaults from exllamav2 1.4.0 convert.py
3.0bpw to 6.0bpw head bits = 6
8.0bpw head bits = 8
length = 8192
dataset rows = 200
measurement rows = 32
measurement length = 8192

model

Llama-3-70b-Arimas-story-RP-V1.6

This is a merge of pre-trained language models created using mergekit.

Merge Details

I Greatly expanded the amount of models used in this merge, experimented a lot with different idea's. This version feels a lot more convincing than V1.5 Hopefully the long context window will also remain strong after Quants. Because of the many merges switched back from BFloat to Float. Tried breadcrums without the Ties, that went very poorly.

Merge Method

This model was merged using the breadcrumbs_ties merge method using I:\Llama-3-70B-Instruct-Gradient-262k as a base.

Models Merged

The following models were included in the merge:

\Smaug-Llama-3-70B-Instruct
\Meta-LLama-3-Cat-Smaug-LLama-70b
\Meta-LLama-3-Cat-A-LLama-70b
\Llama-3-70B-Synthia-v3.5
\Llama-3-70B-Instruct-Gradient-524k
\Llama-3-70B-Instruct-Gradient-262k
\Tess-2.0-Llama-3-70B-v0.2
\Llama-3-Lumimaid-70B-v0.1-alt

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: \Llama-3-70B-Instruct-Gradient-262k
    parameters:
      weight: 0.25
      density: 0.90
      gamma: 0.01
  - model: \Meta-LLama-3-Cat-Smaug-LLama-70b
    parameters:
      weight: 0.28
      density: 0.90
      gamma: 0.01
  - model: \Llama-3-Lumimaid-70B-v0.1-alt
    parameters:
      weight: 0.15
      density: 0.90
      gamma: 0.01
  - model: \Tess-2.0-Llama-3-70B-v0.2
    parameters:
      weight: 0.06
      density: 0.90
      gamma: 0.01
  - model: \Smaug-Llama-3-70B-Instruct
    parameters:
      weight: 0.04
      density: 0.90
      gamma: 0.01
  - model: \Llama-3-70B-Synthia-v3.5
    parameters:
      weight: 0.05
      density: 0.90
      gamma: 0.01
  - model: \Llama-3-70B-Instruct-Gradient-524k
    parameters:
      weight: 0.03
      density: 0.90
      gamma: 0.01
  - model: \Meta-LLama-3-Cat-A-LLama-70b
    parameters:
      weight: 0.14
      density: 0.90
      gamma: 0.01
merge_method: breadcrumbs_ties
base_model: I:\Llama-3-70B-Instruct-Gradient-262k
dtype: float16

kim512/Llama-3-70b-Arimas-story-RP-V1.6-4.5bpw-h6-exl2

EXL2 quants of ryzen88/Llama-3-70b-Arimas-story-RP-V1.6

model

Merge Details

Merge Method

Models Merged

Configuration

kim512/
Llama-3-70b-Arimas-story-RP-V1.6-4.5bpw-h6-exl2