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---
base_model:
- mistralai/Mistral-7B-Instruct-v0.2
- meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: transformers
tags:
- mergekit
- merge
---
# merge1
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# slices:
# - sources:
# - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 # 21 Layers
# layer_range: [0, 21]
# - model: microsoft/Phi-3-mini-4k-instruct # 31 Layers
# layer_range: [10, 31]
# merge_method: slerp
# base_model: microsoft/Phi-3-mini-4k-instruct
# parameters:
# t:
# - filter: self_attn.o_proj
# value: 0.5
# - filter: self_attn.qkv_proj
# value: 0.5
# - filter: mlp.down_proj
# value: 0.5
# - filter: input_layernorm
# value: 0.5
# - filter: post_attention_layernorm
# value: 0.5
# - filter: embed_tokens
# value: 0.5
# - value: 0
# dtype: bfloat16
slices:
- sources:
- model: mistralai/Mistral-7B-Instruct-v0.2 # 21 Layers
layer_range: [0, 31]
- model: meta-llama/Meta-Llama-3.1-8B-Instruct # 31 Layers
layer_range: [0, 31]
merge_method: slerp
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
parameters:
t:
- filter: self_attn
value: 0.5
- filter: mlp
value: 0.5
- value: 0.5
dtype: bfloat16
```
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