Create README.md

README.md

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+base_model:
+- microsoft/Orca-2-13b
+- KoboldAI/LLaMA2-13B-Tiefighter
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+
+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 minumums for quality.
+Highest quality will be Q6/Q8.
+
+This merge was an experiment to test already established Roleplay, Fiction and Story 
+generation of "Tiefighter" with a some of "Orca 2"'s qualities.
+
+For Imatrix plus this was a test of high precision in specific areas of the model leading to a slightly larger compression.
+In addition the Imatrix process itself used a larger "calibration" file than standard to further enhance quality.
+
+A blank or standard Alpaca Template for text generation will work.
+Currently "CHATML" is untested.
+
+Context length: 4096.
+
+# 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
+
+```