---
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

```