This is really a followup and improvement off my original Lumi-Tess model.
I have noticed that the quant versions have a very poor context windows. So i made a newer version with gradent in stead of giraffe so the context window will hopefully remain much better with lower quant sizes. https://huggingface.co/ryzen88/Llama-3-70b-Arimas-story-RP-V1.5
model
A large context (128K) 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. This model thanks to Giraffe have an effective context length of approximately 128k.
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