Total runs:
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Sponsored by
APIMart
duyntnet / Phi-SoSerious-Mini-V1-imatrix-GGUF
Model's Last Updated: May 23 2024
text-generation
Introduction of Phi-SoSerious-Mini-V1-imatrix-GGUF
Model Details of Phi-SoSerious-Mini-V1-imatrix-GGUF
Quantizations of https://huggingface.co/concedo/Phi-SoSerious-Mini-V1
From original readme
Phi-SoSerious-Mini-V1
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: Alpaca
### Instruction:
{prompt}
### Response:
Runs of duyntnet Phi-SoSerious-Mini-V1-imatrix-GGUF on huggingface.co
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More Information About Phi-SoSerious-Mini-V1-imatrix-GGUF huggingface.co Model
Url of Phi-SoSerious-Mini-V1-imatrix-GGUF
Phi-SoSerious-Mini-V1-imatrix-GGUF huggingface.co Url
Provider of Phi-SoSerious-Mini-V1-imatrix-GGUF huggingface.co
Other API from duyntnet
Updated:August 09 2025
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