Update README.md

README.md

@@ -1,28 +1,71 @@
 ---
 base_model:
 - SanjiWatsuki/Kunoichi-DPO-v2-7B
+- Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
 library_name: transformers
 tags:
 - mistral
 - quantized
 - text-generation-inference
+- merge
+- mergekit
 pipeline_tag: text-generation
 inference: false
-license: cc-by-nc-4.0
+
 ---
-# **GGUF-Imatrix quantizations for [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B/).**
+# **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.*
+
+SillyTavern preset files are located [here](https://huggingface.co/Test157t/Kunocchini-7b-128k-test/tree/main/ST%20presets).
 
 *If you want any specific quantization to be added, feel free to ask.*
 
-All credits belong to the [creator](https://huggingface.co/SanjiWatsuki/).
+All credits belong to the [creator](https://huggingface.co/Test157t/).
 
-`Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)`
+`Base⇢ GGUF(F16)⇢ GGUF(Quants)`
 
 The new **IQ3_S** merged today has shown to be better than the old Q3_K_S, so I added that instead of the later. Only supported in `koboldcpp-1.60` or higher.
 
-Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2277](https://github.com/ggerganov/llama.cpp/releases/tag/b2277).
+Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2254](https://github.com/ggerganov/llama.cpp/releases/tag/b2254).
 
 For --imatrix data, `imatrix-Kunocchini-7b-128k-test-F16.dat` was used.
 
 # 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
+```