Model Stock: All we need is just a few fine-tuned models
Paper
• 2403.19522 • Published
• 13
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Model Stock merge method using SicariusSicariiStuff/Negative_LLAMA_70B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
merge_method: model_stock
models:
- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
parameters:
weight: 1.0
- model: MaziyarPanahi/calme-2.3-llama3.1-70b
parameters:
weight: 1.0
base_model: SicariusSicariiStuff/Negative_LLAMA_70B
dtype: bfloat16
out_dtype: bfloat16
parameters:
int8_mask: true
normalize: false
rescale: false
filter_wise: false
smooth: false
allow_negative_weights: false
chat_template: auto
tokenizer:
source: union