Instructions to use addyo07/vox-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use addyo07/vox-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 addyo07/vox-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf addyo07/vox-models:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf addyo07/vox-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf addyo07/vox-models:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf addyo07/vox-models:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf addyo07/vox-models:Q4_K_M
Use Docker
docker model run hf.co/addyo07/vox-models:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use addyo07/vox-models with Ollama:
ollama run hf.co/addyo07/vox-models:Q4_K_M
- Unsloth Desktop
- Pi
How to use addyo07/vox-models with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf addyo07/vox-models:Q4_K_M
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": "addyo07/vox-models:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use addyo07/vox-models with Docker Model Runner:
docker model run hf.co/addyo07/vox-models:Q4_K_M
- Lemonade
How to use addyo07/vox-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull addyo07/vox-models:Q4_K_M
Run and chat with the model
lemonade run user.vox-models-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use addyo07/vox-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 addyo07/vox-models:Q4_K_M
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 addyo07/vox-models:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use addyo07/vox-models with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf addyo07/vox-models:Q4_K_M
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 "addyo07/vox-models:Q4_K_M" \ --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"
addy-hypr4 commited on
Commit ·
28a9fc9
1
Parent(s): 6489723
fix: correct kokoro files hash
Browse files- models_manifest.json +9 -2
- tts/kokoro/lexicon-us-en.txt +0 -0
- tts/kokoro/voices.bin +1 -1
models_manifest.json
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"name": "kokoro",
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"category": "tts",
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"subcategory": "main",
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"description": "High-fidelity local speech synthesis for English
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"parameters": "82M (ONNX)",
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"ram_usage": "~180 MB",
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"tradeoffs": "Rich multilingual prosody, requires espeak-ng phoneme table",
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"id": "tts_kokoro_voices",
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"path": "tts/kokoro/voices.bin",
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"size": 5755904,
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"sha256": "
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"required": false
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{
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"sha256": "7ddfb7247e98108baeab2a3f9c79c29247e58ae7d60d837b32e28999f555bf8d",
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"archive": "tar.gz",
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"required": false
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"name": "kokoro",
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"category": "tts",
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"subcategory": "main",
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"description": "High-fidelity local speech synthesis for English voices.",
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"parameters": "82M (ONNX)",
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"ram_usage": "~180 MB",
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"tradeoffs": "Rich multilingual prosody, requires espeak-ng phoneme table",
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"id": "tts_kokoro_voices",
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"path": "tts/kokoro/voices.bin",
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"size": 5755904,
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"sha256": "5f49e75bdf70cc64e7b9b013731b331e050e90afa4d03c590355b5575afa8600",
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"required": false
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},
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{
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"sha256": "7ddfb7247e98108baeab2a3f9c79c29247e58ae7d60d837b32e28999f555bf8d",
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"archive": "tar.gz",
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"required": false
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},
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{
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"id": "tts_kokoro_lexicon",
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"path": "tts/kokoro/lexicon-us-en.txt",
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"size": 5956885,
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"sha256": "7daaab53a181be9885b853a8582bf1838186317e5dadacbcef9c426d6fa0da14",
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"required": false
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}
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]
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},
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tts/kokoro/lexicon-us-en.txt
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tts/kokoro/voices.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 5755904
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f49e75bdf70cc64e7b9b013731b331e050e90afa4d03c590355b5575afa8600
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size 5755904
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