---
base_model:
- schonsense/Llama-3.3-70B-Inst-Ablit-Flammades-SLERP
- schonsense/flam-kit
library_name: transformers
tags:
- mergekit
- merge
---
# Jotun_flam

This model performs alright, but suffers from one minor error and one larger error that I may get around to correcting eventually.  Be aware that I inadvertently skipped Layer 20 from the original SLERPed model (minor) and I merged two bf16 models using fp16 (major), getting the worst of both worlds.  This MAY be inconsequiential at Q4 and lower quants, but I am unsure.

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:
* schonsense/flam-kit
* schonsense/Llama-3.3-70B-Inst-Ablit-Flammades-SLERP

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: schonsense/Llama-3.3-70B-Inst-Ablit-Flammades-SLERP
      layer_range: [0, 19]
  - sources:
    - model: schonsense/flam-kit
      layer_range: [20, 39]
  - sources:
    - model: schonsense/Llama-3.3-70B-Inst-Ablit-Flammades-SLERP
      layer_range: [21, 40]
  - sources:
    - model: schonsense/flam-kit
      layer_range: [40, 59]
  - sources:
    - model: schonsense/Llama-3.3-70B-Inst-Ablit-Flammades-SLERP
      layer_range: [41, 80]

 
merge_method: passthrough
dtype: float16

```