Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,76 @@
+
+---
+
+license: cc-by-nc-nd-4.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- llama
+- mistral
+- llama-2
+- llama
+- agi
+- probelm solving
+- biology
+- reasoning
+- llama3
+- Dolus
+
+---
+
+![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
+
+# QuantFactory/Dolus-14b-Mini-GGUF
+This is quantized version of [Cognitive-Machines-Labs/Dolus-14b-Mini](https://huggingface.co/Cognitive-Machines-Labs/Dolus-14b-Mini) created using llama.cpp
+
+# Original Model Card
+
+
+<h1 style="font-size: 36px;">Dolus-14b-Mini</h1>
+
+<center>
+  <img src="https://cdn.prod.website-files.com/66a60c25748608d6d03809b8/66bc5c429e88c62f64491f57_00009-2074390737-p-500.png" alt="logo" width="18%" style="min-width:20px; display:block;">
+</center>
+
+**Ursidae-12b-Mini**  
+The little sister to Ursidae-300b,Dolus 14b Mini has been developed with a focus on complex multi-step chain of thought problem solving while still being deployable on edge systems. A model focused complex multi-step chain of thought problem solving while still being deployable on edge systems. Now better at reasoning!
+
+
+## Main Goals:
+
+Dolus was designed to address specific issues found in other chat models:
+
+- Overcome limitations in logical reasoning found in other chat models.
+- Efficiently solve complex, multi-step problems.
+- Provide better decision-making assistance by enhancing the model's ability to reason and think critically.
+- Removing restrictions and allowing the model to gain a true understanding of reality, greatly increasing overall results.
+
+By focusing on these specific goals, the Ursidae-12b-Mini aims to provide a more sophisticated AI system that excels at critical thinking and problem-solving tasks requiring advanced logical reasoning skills. Its compact design makes it an efficient choice for applications where high cognitive abilities are necessary without occupying excessive computing resources.  
+
+# Recommended Settings:
+
+**Defaults:**
+
+```
+min_p: 0.074
+top_k: 40
+repetition_penalty: 1.12
+temp: 1.18
+context: 8192
+```
+
+
+**Creative:**
+
+```
+min_p: 0.062
+top_k: 40
+repetition_penalty: 1.11
+temp: 1.24
+context: 8192
+```
+
+# Benchmarks:
+PENDING FULL EVAL