Update README.md

README.md

@@ -1,7 +1,13 @@
 ---
-license: other
+license: cc-by-4.0
+tags:
+- gguf
+- mistral
+- roleplay
 ---
-Quantizing and uploading...
+This repository hosts GGUF-IQ-Imatrix quants for [Virt-io/Nina-v2-7B](https://huggingface.co/Virt-io/Nina-v2-7B).
+
+Quantizing and uploading:
 ```python
     quantization_options = [
         "Q4_K_M", "Q4_K_S", "IQ4_XS", "Q5_K_M", "Q5_K_S",
@@ -9,4 +15,77 @@ Quantizing and uploading...
     ]
 ```
 
+**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.*
+
+**Model card image:**
+
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/6zTFCv-Bh738BT90LLJwY.png)
+
+
+# Original model information:
+
+# Info
+
+This model has been doing a good job staying in character.
+
+Sillytavern presets in [presets folder](https://huggingface.co/Virt-io/Nina-v2-7B/tree/main/presets).
+
+I removed added_tokens.json and edited config.json to work with gguf if there are any isssues please inform me.
+
+# Character
+
+I have included a character card that should help in making new characters.
+Format copied form [https://twitter.com/victorianmaids](https://rentry.co/CharacterProvider-GuideToBotmaking)
+
+# Nina-v2-7B
+
+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:
+* [Virt-io/Nina-7B](https://huggingface.co/Virt-io/Nina-7B)
+* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: NousResearch/Hermes-2-Pro-Mistral-7B
+        layer_range: [0, 32]
+      - model: Virt-io/Nina-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: NousResearch/Hermes-2-Pro-Mistral-7B
+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
+
+```