---
base_model: []
library_name: transformers
tags:
- mergekit
- merge

---

<h2>L3-Stheno-v3.2-12.2B-Instruct - Float32</h2>

For full model card, and GGUFs, please go to:

[ https://huggingface.co/DavidAU/L3-Stheno-v3.2-12.2B-INSTRUCT-ULTRA-F32-GGUF ]

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 passthrough merge method.

### Models Merged

The following models were included in the merge:
* G:/7B/L3-8B-Stheno-v3.2
* G:/7B/Meta-Llama-3-8B-Instruct

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
 - sources:
   - model: G:/7B/Meta-Llama-3-8B-Instruct
     layer_range: [0, 12]
 - sources:
   - model: G:/7B/L3-8B-Stheno-v3.2
     layer_range: [6, 19]
     parameters:
       scale:
         - filter: o_proj
           value: 1
         - filter: down_proj
           value: 1
         - value: 1
 - sources:
   - model: G:/7B/Meta-Llama-3-8B-Instruct
     layer_range: [12, 18]
     parameters:
       scale:
         - filter: o_proj
           value: .5
         - filter: down_proj
           value: .5
         - value: 1
 - sources:
   - model: G:/7B/Meta-Llama-3-8B-Instruct
     layer_range: [18, 25]
     parameters:
       scale:
         - filter: o_proj
           value: .75
         - filter: down_proj
           value: .75
         - value: 1
 - sources:
   - model: G:/7B/L3-8B-Stheno-v3.2
     layer_range: [19, 32]
     parameters:
       scale:
         - filter: o_proj
           value: 1
         - filter: down_proj
           value: 1
         - value: 1
merge_method: passthrough
dtype: float32
```