---
license: other
inference: false
tags:
- gguf
- quantized
- roleplay
- multimodal
- vision
- llava
- sillytavern
- merge
- mistral
- conversational
---
# #Roleplay #Multimodal #Vision

This repository hosts GGUF-IQ-Imatrix quants for [Nitral-AI/Eris_PrimeV4-Vision-32k-7B](https://huggingface.co/Nitral-AI/Eris_PrimeV4-Vision-32k-7B).

"More stable and with better long context handling."

**Recommended starting [SillyTavern presets here](https://huggingface.co/Lewdiculous/Eris_PrimeV4-Vision-32k-7B-GGUF-IQ-Imatrix/tree/main/sillytavern-presets-lewdicu-3.0.2-mistral-0.2).**

This is a **#multimodal** model that also has **#vision** capabilities. <br> Read the full card information if you also want to use that functionality.

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?**

<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)

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.
  
</details><br>

# Vision/multimodal capabilities:

<details><summary>
⇲ Click here to expand/hide how this would work in practice in a roleplay chat.
</summary>
  
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/qGO0nIfZVcyuio5J07sU-.jpeg)
  
</details><br>

<details><summary>
⇲ Click here to expand/hide what your SillyTavern Image Captions extension settings should look like.
</summary>
  
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/UpXOnVrzvsMRYeqMaSOaa.jpeg)
  
</details><br>

**If you want to use vision functionality:**

* Make sure you are using the latest version of [KoboldCpp](https://github.com/LostRuins/koboldcpp).

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 repository.

* You can load the **mmproj** by using the corresponding section in the interface:

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/UX6Ubss2EPNAT3SKGMLe0.png)

* For CLI users, you can load the **mmproj file** by adding the respective flag to your usual command:

```
--mmproj your-mmproj-file.gguf
```

# Quantization information:


<details><summary>
⇲ Click here to expand/hide more information about this topic.
</summary>
  
**Steps performed:**

```
Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
```
*Using the latest llama.cpp at the time.*
  
</details><br>

# Original model information:

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/xnDxqMZRVOAUfTSerDFJB.jpeg)

# Eris Prime: Version 4.0 32k
After many trials and tribulations we have a winner: A more coherent, format stable version of Eris Prime v4 with better long context handling.