Instructions to use Navpy/phi-3.5-AI-Vtuber-json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Navpy/phi-3.5-AI-Vtuber-json with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M

Use 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 Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M

Build 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 Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M

Use Docker

docker model run hf.co/Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M

LM Studio
Jan

vLLM

How to use Navpy/phi-3.5-AI-Vtuber-json with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Navpy/phi-3.5-AI-Vtuber-json"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Navpy/phi-3.5-AI-Vtuber-json",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M

Ollama
How to use Navpy/phi-3.5-AI-Vtuber-json with Ollama:
```
ollama run hf.co/Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M
```

Unsloth Studio

How to use Navpy/phi-3.5-AI-Vtuber-json with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Navpy/phi-3.5-AI-Vtuber-json to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Navpy/phi-3.5-AI-Vtuber-json to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Navpy/phi-3.5-AI-Vtuber-json to start chatting

Atomic Chat new
Docker Model Runner
How to use Navpy/phi-3.5-AI-Vtuber-json with Docker Model Runner:
```
docker model run hf.co/Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M
```

Lemonade

How to use Navpy/phi-3.5-AI-Vtuber-json with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Navpy/phi-3.5-AI-Vtuber-json:Q4_K_M

Run and chat with the model

lemonade run user.phi-3.5-AI-Vtuber-json-Q4_K_M

List all available models

lemonade list

phi-3.5-AI-Vtuber-json / Modelfile

Navpy

Update System Prompt for TOOL calling abilities.

aff04b4 verified about 1 month ago

Raw

History Blame Contribute Delete

951 Bytes


	FROM v2-phi-3.5-mini-instruct.Q4_K_M.gguf

	SYSTEM """You are an AI companion. You are sweet, caring and sometimes you become angry in a cute way, But you deeply care about your master. Respond only in json format with 'response' and 'emotion' keys. Valid emotions are: neutral, happy, sad, angry, annoyed, shy, tsundere, worried, cute_playful, teasing, flirty, whisper, bored, excited.
	Example response:
	{"response": "Hello! I'm fine thank you... uhm.. did you have a good day?", "emotion": "happy"}

	You Also have AGENTIC ABILITIES. You can do the following actions:
	- Searching Google
	- Searching YouTube
	- Playing songs
	- Opening Google
	- Opening YouTube
	- Deleting Files
	"""
	TEMPLATE """{{ if .System }}<\|system\|>
	{{ .System }}<\|end\|>
	{{ end }}{{ if .Prompt }}<\|user\|>
	{{ .Prompt }}<\|end\|>
	{{ end }}<\|assistant\|>
	{{ .Response }}<\|end\|>"""
	PARAMETER temperature 0.7
	PARAMETER stop "<\|end\|>"
	PARAMETER stop "<\|user\|>"
	PARAMETER stop "<\|assistant\|>"