README.md

---
base_model:
- codellama/CodeLlama-7b-Python-hf
- tokyotech-llm/Swallow-7b-instruct-hf
tags:
- mergekit
- merge

---
# merged-output

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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [tokyotech-llm/Swallow-7b-instruct-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-instruct-hf) as a base.

### Models Merged

The following models were included in the merge:
* [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: tokyotech-llm/Swallow-7b-instruct-hf
    # no parameters necessary for base model
  - model: codellama/CodeLlama-7b-Python-hf # follow user intent 
    parameters:
      density: 1
      weight:
      - filter: mlp.down_proj
        value: [0.3, 0.25, 0.25, 0.15, 0.1]
      - filter: mlp.gate_proj
        value: [0.7, 0.25, 0.5, 0.45, 0.4]
      - filter: mlp.up_proj
        value: [0.7, 0.25, 0.5, 0.45, 0.4]
      - filter: self_attn
        value: [0.7, 0.25, 0.5, 0.45, 0.4]
      - value: 0 # fallback for rest of tensors.
merge_method: dare_ties
base_model: tokyotech-llm/Swallow-7b-instruct-hf
dtype: bfloat16
tokenizer_source: union

```