|
|
|
--- |
|
|
|
library_name: transformers |
|
tags: |
|
- mergekit |
|
- merge |
|
base_model: |
|
- bluuwhale/L3-SAO-MIX-8B-V1 |
|
- Sao10K/L3-8B-Niitama-v1 |
|
- Sao10K/L3-8B-Lunaris-v1 |
|
- Sao10K/L3-8B-Tamamo-v1 |
|
- Sao10K/L3-8B-Stheno-v3.2 |
|
|
|
--- |
|
|
|
[](https://hf.co/QuantFactory) |
|
|
|
|
|
# QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF |
|
This is quantized version of [Casual-Autopsy/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc](https://huggingface.co/Casual-Autopsy/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc) created using llama.cpp |
|
|
|
# Original Model Card |
|
|
|
# L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc |
|
|
|
This is a remerge of [bluuwhale's merger](https://huggingface.co/bluuwhale/L3-SAO-MIX-8B-V1) using the exact yaml config with the only difference being that merge calculations are done in fp32 instead of bfp16 |
|
|
|
I've done this since I'm planning to use this for another merger, but you can use as is if you wish. |
|
|
|
## Merge Details |
|
### Merge Method |
|
|
|
This model was merged using the della merge method using [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1) as a base. |
|
|
|
### Models Merged |
|
|
|
The following models were included in the merge: |
|
* [Sao10K/L3-8B-Lunaris-v1](https://huggingface.co/Sao10K/L3-8B-Lunaris-v1) |
|
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) |
|
* [Sao10K/L3-8B-Tamamo-v1](https://huggingface.co/Sao10K/L3-8B-Tamamo-v1) |
|
|
|
### Configuration |
|
|
|
The following YAML configuration was used to produce this model: |
|
|
|
```yaml |
|
models: |
|
- model: Sao10K/L3-8B-Lunaris-v1 |
|
parameters: |
|
weight: 1.0 |
|
- model: Sao10K/L3-8B-Stheno-v3.2 |
|
parameters: |
|
weight: 1.0 |
|
- model: Sao10K/L3-8B-Niitama-v1 |
|
parameters: |
|
weight: 1.0 |
|
- model: Sao10K/L3-8B-Tamamo-v1 |
|
parameters: |
|
weight: 1.0 |
|
base_model: Sao10K/L3-8B-Niitama-v1 |
|
merge_method: della |
|
dtype: float32 |
|
out_dtype: bfloat16 |
|
``` |
|
|
|
|
