metadata
base_model: []
library_name: transformers
tags:
- mergekit
- merge
- llama 3
- 70b
- arimas
- story
- roleplay
- rp
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:
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