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 Settings

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

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

hik63382 commited on Jan 18

Commit

a10dcf1

verified ·

1 Parent(s): d3e13a3

NZG NZG 73 model: config.json

Browse files

Files changed (1) hide show

config.json +28 -0

config.json ADDED Viewed

	@@ -0,0 +1,28 @@

+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 217652
+}