Create README.md

README.md

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+---
+license: other
+tags:
+- gguf
+- quantized
+- roleplay
+- multimodal
+- vision
+- sillytavern
+- merge
+- mistral
+---
+This repository hosts GGUF-IQ-Imatrix quants for [ChaoticNeutrals/Eris_PrimeV3-Vision-7B](https://huggingface.co/ChaoticNeutrals/Eris_PrimeV3-Vision-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.
+
+# Vision capabilities:
+
+If you want to use vision functionality:
+
+* You must use the latest versions of [Koboldcpp](https://github.com/LostRuins/koboldcpp).
+
+To use the multimodal capabilities of this model and use **vision** you need to load the specified **mmproj** file, you can get it [here](https://huggingface.co/koboldcpp/mmproj/blob/main/mistral-7b-mmproj-v1.5-Q4_1.gguf).
+
+* 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:
+
+**Steps performed:**
+
+```
+Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
+```
+*Using the latest llama.cpp at the time.*
+
+# Original model information:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/O6REGzkSHunCzXuxsSMn7.png)
+
+Eris with vision capabilites supported by KCPP (required for vision support): https://huggingface.co/koboldcpp/mmproj/blob/main/mistral-7b-mmproj-v1.5-Q4_1.gguf
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [InferenceIllusionist/Excalibur-7b](https://huggingface.co/InferenceIllusionist/Excalibur-7b)
+* [ChaoticNeutrals/Eris_Prime-V2-7B](https://huggingface.co/ChaoticNeutrals/Eris_Prime-V2-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: ChaoticNeutrals/Eris_Prime-V2-7B
+        layer_range: [0, 32]
+      - model: InferenceIllusionist/Excalibur-7b
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: ChaoticNeutrals/Eris_Prime-V2-7B
+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
+```