Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf concedo/Phi-SoSerious-Mini-V1-GGUF:Q4_K_M# Run inference directly in the terminal:
llama cli -hf concedo/Phi-SoSerious-Mini-V1-GGUF:Q4_K_MUse pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf concedo/Phi-SoSerious-Mini-V1-GGUF:Q4_K_M# Run inference directly in the terminal:
./llama-cli -hf concedo/Phi-SoSerious-Mini-V1-GGUF:Q4_K_MBuild from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf concedo/Phi-SoSerious-Mini-V1-GGUF:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf concedo/Phi-SoSerious-Mini-V1-GGUF:Q4_K_MUse Docker
docker model run hf.co/concedo/Phi-SoSerious-Mini-V1-GGUF:Q4_K_M
Let's put a smile on that face!
This is the GGUF quantization of the Phi-SoSerious-Mini-V1 model.
You can obtain the unquantized model here: https://huggingface.co/concedo/Phi-SoSerious-Mini-V1
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:
Note: No assurances will be provided about the origins, safety, or copyright status of this model, or of any content within the Kobble dataset.
If you belong to a country or organization that has strict AI laws or restrictions against unlabelled or unrestricted content, you are advised not to use this model.
- Downloads last month
- 47
4-bit
16-bit
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf concedo/Phi-SoSerious-Mini-V1-GGUF:Q4_K_M# Run inference directly in the terminal: llama cli -hf concedo/Phi-SoSerious-Mini-V1-GGUF:Q4_K_M