Instructions to use hik63382/TTS_Android_PC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hik63382/TTS_Android_PC with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="hik63382/TTS_Android_PC",
	filename="tts-Android-nano-Q8-0.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use hik63382/TTS_Android_PC with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf hik63382/TTS_Android_PC:BF16
# Run inference directly in the terminal:
llama-cli -hf hik63382/TTS_Android_PC:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf hik63382/TTS_Android_PC:BF16
# Run inference directly in the terminal:
llama-cli -hf hik63382/TTS_Android_PC:BF16

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 hik63382/TTS_Android_PC:BF16
# Run inference directly in the terminal:
./llama-cli -hf hik63382/TTS_Android_PC:BF16

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 hik63382/TTS_Android_PC:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf hik63382/TTS_Android_PC:BF16

Use Docker

docker model run hf.co/hik63382/TTS_Android_PC:BF16

LM Studio
Jan
Ollama
How to use hik63382/TTS_Android_PC with Ollama:
```
ollama run hf.co/hik63382/TTS_Android_PC:BF16
```

Unsloth Studio new

How to use hik63382/TTS_Android_PC 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 hik63382/TTS_Android_PC 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 hik63382/TTS_Android_PC to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for hik63382/TTS_Android_PC to start chatting

Docker Model Runner
How to use hik63382/TTS_Android_PC with Docker Model Runner:
```
docker model run hf.co/hik63382/TTS_Android_PC:BF16
```

Lemonade

How to use hik63382/TTS_Android_PC with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull hik63382/TTS_Android_PC:BF16

Run and chat with the model

lemonade run user.TTS_Android_PC-BF16

List all available models

lemonade list

Configuration Parsing Warning:Config file tokenizer_config.json cannot be fetched (too big)

📞 Support & Contact

👤 Created by NZG73

Platform	Link
📺 YouTube	@NZG73
🌐 Website	nzg73.blogspot.com
📧 Email	nzgnzg73@gmail.com
⭐ GitHub	NZG 73

Downloads last month: 96

GGUF

Model size

0.3B params

Architecture

llama

Hardware compatibility

16-bit

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