README.md

---
base_model:
- meta-math/MetaMath-Mistral-7B
- mistralai/Mistral-7B-v0.1
- chanwit/flux-7b-base-stage-0
tags:
- mergekit
- merge

---
# merge

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:
* [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
* [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
* [chanwit/flux-7b-base-stage-0](https://huggingface.co/chanwit/flux-7b-base-stage-0)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

merge_method: slerp
base_model: mistralai/Mistral-7B-v0.1
slices:
  - sources:
      - model: chanwit/flux-7b-base-stage-0
        layer_range: [0, 32]
      - model: meta-math/MetaMath-Mistral-7B
        layer_range: [0, 32]
parameters:
  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
dtype: bfloat16

```