Quantization made by Richard Erkhov.
Hermes-2-Theta-L3-Euryale-Ties-0.8-70B - GGUF
- Model creator: https://huggingface.co/juvi21/
- Original model: https://huggingface.co/juvi21/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B/
Original model description:
base_model:
- Sao10K/L3-70B-Euryale-v2.1
- NousResearch/Hermes-2-Theta-Llama-3-70B library_name: transformers tags:
- mergekit
- merge
Hermes-2-Theta-L3-Euryale-Ties-0.8-70B
This is a merge of pre-trained language models created using mergekit. I wanted to have enhanced roleplay performance and merged two of my favorite models together. I maybe release some merges like this with different methods and biases. This config seemed to be the best mix of both world on first glance. I will update my experiences further in the future.
Merge Details
Merge Method
This model was merged using the TIES merge method using NousResearch/Hermes-2-Theta-Llama-3-70B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: NousResearch/Hermes-2-Theta-Llama-3-70B
parameters:
weight: 0.8
- model: Sao10K/L3-70B-Euryale-v2.1
parameters:
weight: 0.2
merge_method: ties
base_model: NousResearch/Hermes-2-Theta-Llama-3-70B
parameters:
density: 0.7
normalize: true
dtype: float16
tokenizer_source: base