tags:
- uncencored
- llama-3
- tess
- lumimaid
- Lumi-tess
Lumi-tess
This model was created with the goal for a good llama 3 uncencored model with long context.
At it worked like a charm.
Did a merge with breadcrumbs_ties method.
Instruct gradient, Lumimaid and Tess.
Uses llama 3 context
Sampler wise it has a very wide optimal so works with lots of different settings.
Thanks to the people who train the custom models:
Undi
IkariDev
For Lumimaid.
Migel Tissera
for Tess
base_model: []
library_name: transformers
tags:
- mergekit
- merge
model
This is a merge of pre-trained language models created using mergekit.
Merge Details
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:
- E:\Llama-3-Lumimaid-70B-v0.1-OAS
- I:\Tess-2.0-Llama-3-70B-v0.2
Configuration
The following YAML configuration was used to produce this model:
models:
- model: I:\Llama-3-70B-Instruct-Gradient-262k
parameters:
weight: 0.20
density: 0.90
gamma: 0.01
- model: I:\Tess-2.0-Llama-3-70B-v0.2
parameters:
weight: 0.20
density: 0.90
gamma: 0.01
- model: E:\Llama-3-Lumimaid-70B-v0.1-OAS
parameters:
weight: 0.60
density: 0.90
gamma: 0.01
merge_method: breadcrumbs_ties
base_model: I:\Llama-3-70B-Instruct-Gradient-262k
dtype: bfloat16
My followup model, that improves in all aspects can be found at: https://huggingface.co/ryzen88/Llama-3-70b-Arimas-story-RP-V1.6