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---
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
``` |