Update README.md

README.md

@@ -1,3 +1,50 @@
 ---
+library_name: transformers
 license: cc-by-4.0
+language:
+- en
+tags:
+- gguf
+- quantized
+- roleplay
+- imatrix
+- mistral
+- merge
+inference: false
+# base_model:
+# - Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
+# - Epiculous/Mika-7B
 ---
+
+This repository hosts GGUF-IQ-Imatrix quantizations for **[grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B](https://huggingface.co/grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B)**.
+
+* ChatML/Alpaca.
+
+**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).
+
+**Steps:**
+```
+Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
+```
+**Quants:**
+```python
+    quantization_options = [
+        "Q4_K_M", "IQ4_XS", "Q5_K_M", "Q5_K_S", "Q6_K",
+        "Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
+    ]
+```
+
+If you want anything that's not here or another model, feel free to request.
+
+**My waifu image for this card:**
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/sO69MKgyqTF9s0xY2lg-0.jpeg)
+
+**Original model information:**