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Model: Lewdiculous/Nyanade_Stunna-Maid-7B-v0.2-GGUF-IQ-Imatrix
Source: Original Platform

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README.md

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+---
+inference: false
+tags:
+- gguf
+- quantized
+- roleplay
+- multimodal
+- vision
+- llava
+- sillytavern
+- merge
+- mistral
+- conversational
+license: other
+---
+
+> [!TIP]
+> **Support:** <br>
+> My upload speeds have been cooked and unstable lately. <br>
+> Realistically I'd need to move to get a better provider. <br>
+> If you **want** and you are able to... <br>
+> [**You can support my various endeavors here (Ko-fi).**](https://ko-fi.com/Lewdiculous) <br>
+> I apologize for disrupting your experience.
+
+
+# #Roleplay #Multimodal #Vision #Based #Unhinged #Unaligned
+
+In this repository you can find **GGUF-IQ-Imatrix** quants for [ChaoticNeutrals/Nyanade_Stunna-Maid-7B-v0.2](https://huggingface.co/ChaoticNeutrals/Nyanade_Stunna-Maid-7B-v0.2) and if needed you can get some basic SillyTavern presets [here](https://huggingface.co/Lewdiculous/Model-Requests/tree/main/data/presets/lewdicu-3.0.2-mistral-0.2), if you have issues with repetitiveness or lack or variety in responses I recommend changing the **Temperature** to 1.15, **MinP** to 0.075, **RepPen** to 1.15 and **RepPenRange** to 1024.
+
+> [!TIP]
+> **Vision:** <br>
+> This is a **#multimodal** model that also has optional **#vision** capabilities. <br> Expand the relevant sections bellow and read the full card information if you also want to make use that functionality.
+>
+> **Quant options:** <br>
+> Reading bellow you can also find quant option recommendations for some common GPU VRAM capacities.
+
+**"Unhinged RP with the spice of the previous 0.420 remixes, 32k context and vision capabilities."**
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/RCayoAQGai1vMfneovnk2.jpeg)
+
+
+# General recommendations for quant options:
+
+<details><summary>
+⇲ Click here to expand/hide general common recommendations.
+</summary>
+  
+*Assuming a context size of 8192 for simplicity and 1GB of Operating System VRAM overhead with some safety margin to avoid overflowing buffers...* <br> <br>
+**For 11-12GB VRAM:** <br> A GPU with **11-12GB** of VRAM capacity can comfortably use the **Q6_K-imat** quant option and run it at good speeds. <br> This is the same with or without using #vision capabilities. <br> <br>
+**For 8GB VRAM:** <br> If not using #vision, for GPUs with **8GB** of VRAM capacity the **Q5_K_M-imat** quant option will fit comfortably and should run at good speeds. <br> If **you are** also using #vision from this model opt for the **Q4_K_M-imat** quant option to avoid filling the buffers and potential slowdowns. <br><br>
+**For 6GB VRAM:** <br> If not using #vision, for GPUs with **6GB** of VRAM capacity the **IQ3_M-imat** quant option should fit comfortably to run at good speeds. <br> If **you are** also using #vision from this model opt for the **IQ3_XXS-imat** quant option. <br><br>
+  
+</details><br>
+
+
+# Quantization process information:
+
+<details><summary>
+⇲ Click here to expand/hide more information about this topic.
+</summary>
+
+```python
+    quantization_options = [
+        "IQ3_M", "IQ3_XXS",
+        "Q4_K_M", "Q4_K_S", "IQ4_XS", "IQ4_NL",
+        "Q5_K_M", "Q5_K_S",
+        "Q6_K",
+        "Q8_0"
+    ]
+```
+
+**Steps performed:**
+
+```
+Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
+```
+The latest of **llama.cpp** available at the time was used, with [imatrix-with-rp-ex.txt](https://huggingface.co/Lewdiculous/Model-Requests/blob/main/data/imatrix/imatrix-with-rp-ex.txt) as calibration data.
+  
+</details><br>
+
+# What does "Imatrix" mean?
+
+<details><summary>
+⇲ Click here to expand/hide more information about this topic.
+</summary>
+  
+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)
+
+> [!NOTE]
+> For imatrix data generation, kalomaze's `groups_merged.txt` with additional roleplay chats was used, you can find it [here](https://huggingface.co/Lewdiculous/Model-Requests/blob/main/data/imatrix/imatrix-with-rp-ex.txt) for reference. This was just to add a bit more diversity to the data with the intended use case in mind.
+  
+</details><br>
+
+# Vision/multimodal capabilities:
+
+<details><summary>
+⇲ Click here to expand/hide how this would work in practice in a roleplay chat.
+</summary>
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/NtDLpyv0WY2yT1OWaDfzh.png)
+
+</details><br>
+
+<details><summary>
+⇲ Click here to expand/hide how your SillyTavern Image Captions extension settings should look.
+</summary>
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/ayOpP2AdKr15lOugIwa3U.png)
+
+</details><br>
+
+# Required for vision functionality:
+
+> [!WARNING]
+> To use the multimodal capabilities of this model, such as **vision**, you also need to load the specified **mmproj** file, you can get it [here](https://huggingface.co/cjpais/llava-1.6-mistral-7b-gguf/blob/main/mmproj-model-f16.gguf) or as uploaded in the **mmproj** folder in the repository.
+
+1: Make sure you are using the latest version of [KoboldCpp](https://github.com/LostRuins/koboldcpp).
+
+2: Load the **mmproj file** by using the corresponding section in the interface:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/3bAsQJsSp69dHbe7sxxem.png)
+
+2.1: For **CLI** users, you can load the **mmproj file** by adding the respective flag to your usual command:
+
+```
+--mmproj your-mmproj-file.gguf
+```

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