Create README.md

README.md

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+---
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- miqu
+- 70b model
+- cat
+- miqu cat
+---
+## Welcome to Miqu Cat: A 70B Miqu Lora Fine-Tune
+
+Introducing **Miqu Cat**, an advanced model fine-tuned by Dr. Kal'tsit then quanted for the the ExllamaV2 project, bringing the model down to an impressive 4.8 bits per weight (bpw). This fine-tuning allows those with limited computational resources to explore its capabilities without compromise.
+
+### Competitive Edge - *meow!*
+
+Miqu Cat stands out in the arena of Miqu fine-tunes, consistently performing admirably in tests and comparisons. It’s crafted to be less restrictive and more robust than its predecessors and variants, making it a versatile tool in AI-driven applications.
+
+### How to Use Miqu Cat: The Nitty-Gritty
+
+Miqu Cat operates on the **CHATML** prompt format, designed for straightforward and effective interaction. Whether you're integrating it into existing systems or using it for new projects, its flexible prompt structure facilitates ease of use.
+
+### Training Specs
+
+- **Dataset**: 1.5 GB
+- **Compute**: Dual setup of 8xA100 nodes
+- **Duration**: Approximately 1000 hours of intensive training
+
+### Meet the Author
+
+**Dr. Kal'tsit** has been at the forefront of this fine-tuning process, ensuring that Miqu Cat gives the user a unique feel.