metadata
base_model: []
library_name: transformers
tags:
- mergekit
- merge
llama3
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
- D:/text-generation-webui/models/meta-llama_Meta-Llama-3-8B-Instruct
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: D:/text-generation-webui/models/meta-llama_Meta-Llama-3-8B-Instruct # embed_tokens comes along with the ride with whatever is the first layer
layer_range: [0, 1]
- model: D:/text-generation-webui/models/meta-llama_Meta-Llama-3-8B-Instruct # add dummy second model with 0 weight so tokenizer-based merge routine is invoked for embed_tokens
layer_range: [0, 1]
- sources:
- model: D:/text-generation-webui/models/meta-llama_Meta-Llama-3-8B-Instruct
layer_range: [1, 24]
- sources:
- model: D:/text-generation-webui/models/meta-llama_Meta-Llama-3-8B-Instruct
layer_range: [8, 20]
- sources:
- model: D:/text-generation-webui/models/meta-llama_Meta-Llama-3-8B-Instruct
layer_range: [18, 32]
- model: D:/text-generation-webui/models/meta-llama_Meta-Llama-3-8B-Instruct
layer_range: [18, 32]
merge_method: passthrough
dtype: bfloat16