metadata
base_model: []
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
WizardLaker 7B
This is a merge of the new WizardLM 2 7B model with my custom DolphinLake Model(https://huggingface.co/Noodlz/DolphinLake-7B). Seems to perform well. will be submitting for evals on openLLM leaderboards. Created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using amazingvince/Not-WizardLM-2-7B as a base.
Models Merged
The following models were included in the merge:
- /Noodlz/DolphinLake-7B
Configuration
The following YAML configuration was used to produce this model:
merge_method: dare_ties
parameters:
int8_mask: true
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
embed_slerp: true
models:
- model: amazingvince/Not-WizardLM-2-7B
# No parameters necessary for base model
- model: /Noodlz/DolphinLake-7B
parameters:
density: 0.58
weight: 0.4
base_model: amazingvince/Not-WizardLM-2-7B
tokenizer_source: model:amazingvince/Not-WizardLM-2-7B
dtype: bfloat16