Upload README.md

README.md

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+---
+license: other
+language:
+- en
+pipeline_tag: text-generation
+inference: false
+tags:
+- transformers
+- gguf
+- imatrix
+- Phi-SoSerious-Mini-V1
+---
+Quantizations of https://huggingface.co/concedo/Phi-SoSerious-Mini-V1
+
+
+# From original readme
+
+## Phi-SoSerious-Mini-V1 
+</div>
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63cd4b6d1c8a5d1d7d76a778/eKsJlyzm30gxwAM-doIC-.png)
+
+## Let's put a smile on that face!
+
+This is a finetune of https://huggingface.co/microsoft/Phi-3-mini-4k-instruct trained on a variant of the Kobble Dataset. 
+Training was done in under 4 hours on a single Nvidia RTX 3090 GPU with qLora (LR 1.2e-4, rank 16, alpha 16, batch size 3, gradient acc. 3, 2048 ctx). 
+
+You can obtain the GGUF quantization of this model here: https://huggingface.co/concedo/Phi-SoSerious-Mini-V1-GGUF
+
+## Dataset and Objectives
+
+The Kobble Dataset is a semi-private aggregated dataset made from multiple online sources and web scrapes, augmented with some synthetic data. 
+It contains content chosen and formatted specifically to work with KoboldAI software and Kobold Lite.
+The objective of this model was to produce a usable version of Phi-3-mini usable for storywriting, conversations and instructions, and without excess tendency for refusal.
+
+#### Dataset Categories:
+- Instruct: Single turn instruct examples presented in the Alpaca format, with an emphasis on uncensored and unrestricted responses.
+- Chat: Two participant roleplay conversation logs in a multi-turn raw chat format that KoboldAI uses.
+- Story: Unstructured fiction excerpts, including literature containing various erotic and provocative content.
+
+<!-- prompt-template start -->
+## Prompt template: Alpaca
+
+```
+### Instruction:
+{prompt}
+
+### Response:
+```
+
+<!-- prompt-template end -->