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---
license: mit
language:
- en
pipeline_tag: text-generation
---
Imatrix compressions of FP Merge of "D_AU-Orac-13B-Tiefighter-slerp".
"Imatrix Plus" is an upgraded form of Imatrix which using full precision for specific parts of the compression.
As a result all compressions will be slightly larger in size than standard 13B compressions.
This method results in a higher quality model, especially at lower compressions.
This method is applied across all compressions from IQ1 to Q8.
Even IQ1_S - the most compressed verison - works well, however IQ4/Q4 are suggested as minimums for quality.
Highest quality will be Q6/Q8.
How big a difference is this merge?
Orginal Tiefighter IQ1_S (with imatrix enhancements) tested at a perplexity of:
PPL = 17.2589 +/- 0.12466*
Tiefighter Orca 2 IQ1_S (with imatrix enhancements) tested at a perplexity of:
PPL = 12.6985 +/- 0.09106*
Note that LOWER perplexity is better.
* Tested using llamacpp, perplexity.exe with wiki.raw.
In addition the Imatrix file used to "fix" the compressed files post compression resulted in
over 2 whole points lower perplexity at IQ1_S vs some of the other "Imatrix" files currently in use.
Orginal Tiefighter IQ1_S (with imatrix enhancements) tested with a different "Imatrix" repair file at a perplexity of:
PPL = 19.6355 +/- 0.14435
Likewise the merge itself affected perplexity too.
This merge was an experiment to test already established Roleplay, Fiction and Story
generation of "Tiefighter" with a some of "Orca 2"'s qualities.
Additional merge experiements are in progress.
For Imatrix plus this was a test of high precision in specific areas of the model leading to a slightly larger compressed file.
In addition the Imatrix process itself used a larger "calibration" file than standard to further enhance quality.
The process added appoximately 310 MB to each compressed file.
A blank or standard Alpaca Template for text generation will work.
Currently "CHATML" is untested.
Context length: 4096.
Please see the orginal model card for specific details of use, additional credits and tips:
[KoboldAI/LLaMA2-13B-Tiefighter](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter)
# merge
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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [microsoft/Orca-2-13b](https://huggingface.co/microsoft/Orca-2-13b)
* [KoboldAI/LLaMA2-13B-Tiefighter](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: KoboldAI/LLaMA2-13B-Tiefighter
layer_range: [0, 40]
- model: microsoft/Orca-2-13b
layer_range: [0, 40]
merge_method: slerp
base_model: microsoft/Orca-2-13b
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
``` |