Create README.md

README.md

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+---
+license: other
+inference: false
+tags:
+- gguf
+- mistral
+- roleplay
+---
+This repository hosts GGUF-IQ-Imatrix quants for [ResplendentAI/Persephone_7B](https://huggingface.co/ResplendentAI/Persephone_7B).
+
+Quants:
+```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"
+    ]
+```
+
+**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.*
+
+# Original model information:
+
+# Persephone
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/aOnBmqHJQfOFEIgqD_JCz.jpeg)
+
+After being in a bit of a rut, I decided to take a radically different approach to produce something new and exciting. It seems to have worked out. I hope you enjoy!