Create README.md

README.md

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+---
+library_name: transformers
+license: other
+language:
+- en
+tags:
+- gguf
+- quantized
+- roleplay
+- imatrix
+- mistral
+- merge
+inference: false
+base_model:
+- ResplendentAI/Datura_7B
+- ChaoticNeutrals/Eris_Floramix_DPO_7B
+---
+
+This repository hosts GGUF-Imatrix quantizations for [Test157t/Eris-Daturamix-7b-v2](https://huggingface.co/Test157t/Eris-Daturamix-7b-v2).
+```
+Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
+```
+To be uploaded:
+```python
+    quantization_options = [
+        "Q4_K_M", "IQ4_XS", "Q5_K_M", "Q5_K_S", "Q6_K",
+        "Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
+    ]
+```
+
+**This is experimental.**
+
+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).
+
+The goal is to measure the (hopefully positive) impact of this data for consistent formatting in roleplay chatting scenarios.
+
+**Alt-img:**
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/reCtUSmNO6S1mSjLms3kT.png)
+
+**Original model information:**
+
+So this should have been v1 but i done goofed, so heres "v2".
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/O8bRFd7O9TDgecUy-mIWb.png)
+
+The following models were included in the merge:
+* [ResplendentAI/Datura_7B](https://huggingface.co/ResplendentAI/Datura_7B)
+* [ChaoticNeutrals/Eris_Floramix_DPO_7B](https://huggingface.co/ChaoticNeutrals/Eris_Floramix_DPO_7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: ChaoticNeutrals/Eris_Floramix_DPO_7B
+        layer_range: [0, 32]
+      - model: ResplendentAI/Datura_7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: ChaoticNeutrals/Eris_Floramix_DPO_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
+```