---
base_model:
- d-rang-d/MS3-megamerge
- unsloth/Mistral-Small-24B-Instruct-2501
library_name: transformers
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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using [d-rang-d/MS3-megamerge](https://huggingface.co/d-rang-d/MS3-megamerge) as a base.

### Models Merged

The following models were included in the merge:
* [unsloth/Mistral-Small-24B-Instruct-2501](https://huggingface.co/unsloth/Mistral-Small-24B-Instruct-2501)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: bfloat16
tokenizer:
 source: unsloth/Mistral-Small-24B-Instruct-2501
merge_method: della_linear
parameters:
  density: 0.55
base_model: d-rang-d/MS3-megamerge
models:
  - model: unsloth/Mistral-Small-24B-Instruct-2501
    parameters:
      weight:
        - filter: v_proj
          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
        - filter: o_proj
          value: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1]
        - filter: up_proj
          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
        - filter: gate_proj
          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
        - filter: down_proj
          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
        - value: 0
  - model: d-rang-d/MS3-megamerge
    parameters:
      weight:
        - filter: v_proj
          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
        - filter: o_proj
          value: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0]
        - filter: up_proj
          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
        - filter: gate_proj
          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
        - filter: down_proj
          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
        - value: 1

```