Text Generation
Piper
GGUF
ncnn
llama.cpp
whisper
gigaam
silero-vad
qwen3
gemma
speech-recognition
voice-activity-detection
text-to-speech
conversational
Instructions to use shuko-tuto/npc-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use shuko-tuto/npc-models with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use shuko-tuto/npc-models 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 shuko-tuto/npc-models:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf shuko-tuto/npc-models:UD-Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf shuko-tuto/npc-models:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf shuko-tuto/npc-models:UD-Q4_K_XL
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 shuko-tuto/npc-models:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf shuko-tuto/npc-models:UD-Q4_K_XL
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 shuko-tuto/npc-models:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf shuko-tuto/npc-models:UD-Q4_K_XL
Use Docker
docker model run hf.co/shuko-tuto/npc-models:UD-Q4_K_XL
- LM Studio
- Jan
- vLLM
How to use shuko-tuto/npc-models with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "shuko-tuto/npc-models" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "shuko-tuto/npc-models", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/shuko-tuto/npc-models:UD-Q4_K_XL
- Ollama
How to use shuko-tuto/npc-models with Ollama:
ollama run hf.co/shuko-tuto/npc-models:UD-Q4_K_XL
- Unsloth Desktop
- Pi
How to use shuko-tuto/npc-models with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf shuko-tuto/npc-models:UD-Q4_K_XL
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "shuko-tuto/npc-models:UD-Q4_K_XL" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use shuko-tuto/npc-models with Docker Model Runner:
docker model run hf.co/shuko-tuto/npc-models:UD-Q4_K_XL
- Lemonade
How to use shuko-tuto/npc-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull shuko-tuto/npc-models:UD-Q4_K_XL
Run and chat with the model
lemonade run user.npc-models-UD-Q4_K_XL
List all available models
lemonade list
- Hermes Agent
How to use shuko-tuto/npc-models with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf shuko-tuto/npc-models:UD-Q4_K_XL
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default shuko-tuto/npc-models:UD-Q4_K_XL
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use shuko-tuto/npc-models with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf shuko-tuto/npc-models:UD-Q4_K_XL
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "shuko-tuto/npc-models:UD-Q4_K_XL" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
silero_vad_16k: the folder the addon reads
Browse files
silero_vad_16k/silero_vad_16k.LICENSE
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
MIT License
|
| 2 |
+
|
| 3 |
+
Copyright (c) 2020-present Silero Team
|
| 4 |
+
|
| 5 |
+
Permission is hereby granted, free of charge, to any person obtaining a copy
|
| 6 |
+
of this software and associated documentation files (the "Software"), to deal
|
| 7 |
+
in the Software without restriction, including without limitation the rights
|
| 8 |
+
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
| 9 |
+
copies of the Software, and to permit persons to whom the Software is
|
| 10 |
+
furnished to do so, subject to the following conditions:
|
| 11 |
+
|
| 12 |
+
The above copyright notice and this permission notice shall be included in all
|
| 13 |
+
copies or substantial portions of the Software.
|
| 14 |
+
|
| 15 |
+
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
| 16 |
+
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
| 17 |
+
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
| 18 |
+
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
| 19 |
+
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
| 20 |
+
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
| 21 |
+
SOFTWARE.
|
silero_vad_16k/silero_vad_16k.ncnn.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f692e9645f8ff39b48b8298b49025091f6ee229d34587795718bfffa2657bac
|
| 3 |
+
size 1236520
|
silero_vad_16k/silero_vad_16k.ncnn.param
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
7767517
|
| 2 |
+
21 24
|
| 3 |
+
Input in0 0 1 in0
|
| 4 |
+
Input in1 0 1 in1
|
| 5 |
+
Input in2 0 1 in2
|
| 6 |
+
ExpandDims unsqueeze_17 1 1 in0 3 -23303=1,0
|
| 7 |
+
Padding pad_6 1 1 3 4 0=0 1=0 2=0 3=64 4=2 5=0 6=0
|
| 8 |
+
Convolution1D conv1d_0 1 1 4 5 0=258 1=256 2=1 3=128 4=0 5=0 6=66048
|
| 9 |
+
Slice tensor_split_0 1 2 5 6 7 -23300=2,129,-233 1=0
|
| 10 |
+
UnaryOp pow_0 1 1 7 8 0=4
|
| 11 |
+
UnaryOp pow_1 1 1 6 9 0=4
|
| 12 |
+
BinaryOp add_2 2 1 9 8 10 0=0
|
| 13 |
+
UnaryOp sqrt_3 1 1 10 11 0=5
|
| 14 |
+
Convolution1D conv1drelu_0 1 1 11 12 0=128 1=3 2=1 3=1 4=1 5=1 6=49536 9=1
|
| 15 |
+
Convolution1D conv1drelu_1 1 1 12 13 0=64 1=3 2=1 3=2 4=1 5=1 6=24576 9=1
|
| 16 |
+
Convolution1D conv1drelu_2 1 1 13 14 0=64 1=3 2=1 3=2 4=1 5=1 6=12288 9=1
|
| 17 |
+
Convolution1D conv1drelu_3 1 1 14 15 0=128 1=3 2=1 3=1 4=1 5=1 6=24576 9=1
|
| 18 |
+
Reshape reshape_14 1 1 15 16 0=128 1=1
|
| 19 |
+
LSTM lstm_13 3 3 16 in1 in2 17 out1 out2 0=128 1=65536 2=0 3=128
|
| 20 |
+
ReLU relu_11 1 1 17 20
|
| 21 |
+
Reshape reshape_15 1 1 20 21 0=1 1=128
|
| 22 |
+
Convolution1D conv1dsigmoid_4 1 1 21 22 0=1 1=1 2=1 3=1 4=0 5=1 6=128 9=4
|
| 23 |
+
Reshape reshape_16 1 1 22 out0 0=1
|