Update README.md

README.md

@@ -12,7 +12,7 @@ tags:
 pipeline_tag: text-generation
 inference: false
 ---
-# **GGUF-Imatrix quantizations for [Pasta-Lake-7b](https://huggingface.co/Test157t/Pasta-Lake-7b).**
+# **GGUF-Imatrix quantizations for [Kunocchini-7b-128k-test](https://huggingface.co/Test157t/Kunocchini-7b-128k-test/).**
 
 ## *This has been my personal favourite and daily-driver role-play model for a while, so I decided to make new quantizations for it using the full F16-Imatrix data.*
 
@@ -30,4 +30,41 @@ Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2254](https://githu
 
 For --imatrix data, `imatrix-Kunocchini-7b-128k-test-F16.dat` was used.
 
-# Original model information:
+# Original model information:
+
+Thanks to @Epiculous for the dope model/ help with llm backends and support overall.
+
+Id like to also thank @kalomaze for the dope sampler additions to ST. 
+
+@SanjiWatsuki Thank you very much for the help, and the model!
+
+ST users can find the TextGenPreset in the folder labeled so.
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/9obNSalcJqCilQwr_4ssM.jpeg)
+
+The following models were included in the merge:
+* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
+* [Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context](https://huggingface.co/Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+        layer_range: [0, 32]
+      - model: Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: SanjiWatsuki/Kunoichi-DPO-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
+```