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miquplus-xwin-70b

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miquplus-xwin-70b
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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge

---
# miquplus-xwin-70b

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](https://arxiv.org/abs/2203.05482) merge method using /home/juk/LLMs/models/huggingface/miqu-1-70b-sf as a base.

### Models Merged

The following models were included in the merge:
* miqu-models/_miquplus-xwin-70b

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model:
  model:
    path: /home/juk/LLMs/models/huggingface/miqu-1-70b-sf
dtype: float16
merge_method: linear
slices:
- sources:
  - layer_range: [0, 80]
    model:
      model:
        path: /home/juk/LLMs/models/huggingface/miqu-1-70b-sf
    parameters:
      weight:
      - filter: v_proj
        value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
      - filter: o_proj
        value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
      - filter: up_proj
        value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
      - filter: gate_proj
        value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
      - filter: down_proj
        value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
      - value: 1.0
  - layer_range: [0, 80]
    model:
      model:
        path: miqu-models/_miquplus-xwin-70b
    parameters:
      weight:
      - filter: v_proj
        value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
      - filter: o_proj
        value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
      - filter: up_proj
        value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
      - filter: gate_proj
        value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
      - filter: down_proj
        value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
      - value: 0.0
tokenizer_source: base
```