README.md

---
base_model:
- schonsense/Llama-3.3-70B-Inst-Ablit-Flammades-SLERP
- Blackroot/Mirai-3.0-70B
- Sao10K/L3.3-70B-Euryale-v2.3
- flammenai/Llama3.1-Flammades-70B
- TsinghuaC3I/Llama-3-70B-UltraMedical
library_name: transformers
tags:
- mergekit
- merge
---
# Flamlama_della_70B

This model produces unique prose, but is virtually unuseable without babysitting each generation. It was created explicitly to add flavor and ability to a base model.

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 della merge method using schonsense\Llama-3.3-70B-Inst-Ablit-Flammades-SLERP as a base.

### Models Merged

The following models were included in the merge:
* Blackroot\Mirai-3.0-70B
* flammenai\Llama3.1-Flammades-70B
* TsinghuaC3I\Llama-3-70B-UltraMedical
* Sao10K\L3.3-70B-Euryale-v2.3

### Configuration

The following YAML configuration was used to produce this model:

```yaml
name: Flam_della_70B
models:
  - model: schonsense\Llama-3.3-70B-Inst-Ablit-Flammades-SLERP
  - model: Blackroot\Mirai-3.0-70B
    parameters:
      density: .8
      weight: .8
  - model: Sao10K\L3.3-70B-Euryale-v2.3
    parameters:
      density: .8
      weight: .8
  - model: flammenai\Llama3.1-Flammades-70B
    parameters:
      density: .8
      weight: .8
  - model: TsinghuaC3I\Llama-3-70B-UltraMedical
    parameters:
      density: .8
      weight: .8
merge_method: della
base_model: schonsense\Llama-3.3-70B-Inst-Ablit-Flammades-SLERP
tokenizer_source: schonsense\Llama-3.3-70B-Inst-Ablit-Flammades-SLERP
parameters:
  normalize: true
  int8_mask: true
  lambda: 1.0
  epsilon: 0.1
dtype: float16
```