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

---
# prototype-0.4x291-BORKED

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 [Multi-SLERP](https://goddard.blog/posts/multislerp-wow-what-a-cool-idea) merge method using /workspace/cache/models--deepcogito--cogito-v2-preview-llama-70B/snapshots/1e1d12e8eaebd6084a8dcf45ecdeaa2f4b8879ce as a base.

### Models Merged

The following models were included in the merge:
* /workspace/cache/models--Delta-Vector--Austral-70B-Winton/snapshots/0b84421cb68e7c69848e6265a1d36dcd8957d44a
* /workspace/cache/models--BruhzWater--Serpents-Tongue-L3.3-70b-0.3/snapshots/d007a7bcc7047d712abb2dfb6ad940fe03cd2047
* /workspace/cache/models--BruhzWater--Apocrypha-L3.3-70b-0.3/snapshots/3facb4c0a7b953ff34a5caa90976830bf82a84c2
* /workspace/cache/models--TheDrummer--Fallen-Llama-3.3-70B-v1/snapshots/d46ef2629f1c3cd46789a55793c5ff0af60de3e8

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: /workspace/cache/models--BruhzWater--Apocrypha-L3.3-70b-0.3/snapshots/3facb4c0a7b953ff34a5caa90976830bf82a84c2
    parameters:
      weight: [0.7]
  - model: /workspace/cache/models--BruhzWater--Serpents-Tongue-L3.3-70b-0.3/snapshots/d007a7bcc7047d712abb2dfb6ad940fe03cd2047
    parameters:
      weight: [0.3]
  - model: /workspace/cache/models--TheDrummer--Fallen-Llama-3.3-70B-v1/snapshots/d46ef2629f1c3cd46789a55793c5ff0af60de3e8
    parameters:
      weight: [0.2]
  - model: /workspace/cache/models--Delta-Vector--Austral-70B-Winton/snapshots/0b84421cb68e7c69848e6265a1d36dcd8957d44a
    parameters:
      weight: [0.25]
base_model: /workspace/cache/models--deepcogito--cogito-v2-preview-llama-70B/snapshots/1e1d12e8eaebd6084a8dcf45ecdeaa2f4b8879ce
merge_method: multislerp
tokenizer:
  source: base
chat_template: llama3
parameters:
  normalize_weights: false
  eps: 1e-8
pad_to_multiple_of: 8
int8_mask: true
dtype: float32
out_dtype: bfloat16
```