Create README.md

README.md

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+---
+library_name: transformers
+tags:
+- mergekit
+- merge
+- roleplay
+- mistral
+inference: false
+license: other
+---
+
+This repository hosts GGUF-IQ-Imatrix quants for [Nitral-AI/Infinitely-Laydiculous-7B](https://huggingface.co/Nitral-AI/Infinitely-Laydiculous-7B).
+
+**What does "Imatrix" mean?**
+
+It stands for **Importance Matrix**, a technique used to improve the quality of quantized models.
+The **Imatrix** is calculated based on calibration data, and it helps determine the importance of different model activations during the quantization process.
+The idea is to preserve the most important information during quantization, which can help reduce the loss of model performance, especially when the calibration data is diverse.
+[[1]](https://github.com/ggerganov/llama.cpp/discussions/5006) [[2]](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384)
+
+For imatrix data generation, kalomaze's `groups_merged.txt` with added roleplay chats was used, you can find it [here](https://huggingface.co/Lewdiculous/Datura_7B-GGUF-Imatrix/blob/main/imatrix-with-rp-format-data.txt). This was just to add a bit more diversity to the data.
+
+**Steps:**
+
+```
+Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
+```
+*Using the latest llama.cpp at the time.*
+
+```python
+ quantization_options = [
+ "Q4_K_M", "Q4_K_S", "IQ4_XS", "Q5_K_M", "Q5_K_S",
+ "Q6_K", "Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
+ ]
+```
+
+---
+
+# Kool-Aid
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/Bpz3HVIKPaEn_Sz6OD86Z.jpeg)
+
+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:
+* ErosEris
+* CookieNexus
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+ - sources:
+ - model: CookieNexus
+ layer_range: [0, 32]
+ - model: ErosEris
+ layer_range: [0, 32]
+merge_method: slerp
+base_model: CookieNexus
+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
+```