Create README.md

README.md

@@ -0,0 +1,64 @@
+---
+base_model:
+- NousResearch/Yarn-Mistral-7b-128k
+- Test157t/Kunocchini-1.1-7b
+library_name: transformers
+tags:
+- mistral
+- quantized
+- text-generation-inference
+- merge
+- mergekit
+pipeline_tag: text-generation
+inference: false
+---
+# **GGUF-Imatrix quantizations for [Test157t/Kunocchini-1.2-7b-longtext](https://huggingface.co/Test157t/Kunocchini-1.2-7b-longtext/).**
+
+SillyTavern preset files for the previous version 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/Test157t/).
+
+`Base⇢ GGUF(F16)⇢ Imatrix(F16)⇢ GGUF-Imatrix(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/)-[b2254](https://github.com/ggerganov/llama.cpp/releases/tag/b2254).
+
+For --imatrix data, `imatrix-Kunocchini-1.2-7b-longtext-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!
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/1M16DsWk39CtFz2SjmYGr.jpeg)
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708).
+
+### Models Merged
+
+The following models were included in the merge:
+* [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k) + [Test157t/Kunocchini-1.1-7b](https://huggingface.co/Test157t/Kunocchini-1.1-7b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: dare_ties
+base_model: Test157t/Kunocchini-1.1-7b
+parameters:
+  normalize: true
+models:
+  - model: NousResearch/Yarn-Mistral-7b-128k
+    parameters:
+      weight: 1
+  - model: Test157t/Kunocchini-1.1-7b
+    parameters:
+      weight: 1
+dtype: float16
+```