Create README.md

README.md

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+---
+base_model:
+- Nitral-AI/Infinitely-Laydiculous-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+- not-for-all-audiences
+---
+# GGUF / IQ / Imatrix for [Infinite-Laymons-9B](https://huggingface.co/ABX-AI/Infinite-Laymons-9B)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d936ad52eca001fdcd3245/_Tgq278Uqjns2W0ug1kXE.png)
+
+**Why Importance Matrix?**
+
+**Importance Matrix**, at least based on my testing, has shown to improve the output and performance of "IQ"-type quantizations, where the compression becomes quite heavy.
+The **Imatrix** performs a calibration, using a provided dataset. Testing has shown that semi-randomized data can help perserve more important segments as the compression is applied.
+
+Related discussions in Github:
+[[1]](https://github.com/ggerganov/llama.cpp/discussions/5006) [[2]](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384)
+
+The imatrix.txt file that I used contains general, semi-random data, with some added extra kink.
+
+# Infinite-Laymons-9B
+
+This model is intended for fictional role-play and storytelling. 
+The focus is on original responses and elimitation of refusals.
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+First two models were merged with SLERP, and the final model was merged using the passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Nitral-AI/Infinitely-Laydiculous-7B](https://huggingface.co/Nitral-AI/Infinitely-Laydiculous-7B)
+* ABX-AI/./MODELS/Infinite-Laymons-7B
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+ - sources:
+ - model: Nitral-AI/Infinitely-Laydiculous-7B
+ layer_range: [0, 20]
+ - sources:
+ - model: ./MODELS/Infinite-Laymons-7B
+ layer_range: [12, 32]
+merge_method: passthrough
+dtype: float16
+```