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

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

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 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/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 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

LM Studio
Jan
Ollama
How to use addyo07/vox-models with Ollama:
```
ollama run hf.co/addyo07/vox-models:Q4_K_M
```

Unsloth Studio

How to use addyo07/vox-models 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 addyo07/vox-models 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 addyo07/vox-models to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for addyo07/vox-models to start chatting

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 @mariozechner/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 Jun 23

Commit

6399a1a

1 Parent(s): b3b1aa6

updated manifest json

Browse files

Files changed (1) hide show

models_manifest.json +11 -10

models_manifest.json CHANGED Viewed

@@ -2,7 +2,8 @@
   "models_version": "1.1.0",
   "release_notes": [
     "Portable, single-instance TTS engine with 31 languages and flow-matching architecture.",
-    "Supertonic 3 replaces Kokoro (EN) + Piper (HI) as the sole TTS engine."
   ],
   "total_size_bytes": 9398491074,
   "model_groups": [
@@ -262,22 +263,22 @@
     },
     {
       "id": "chatterbox_tts",
-      "name": "Chatterbox TTS Engine",
       "category": "tts",
       "version": "1.0.0",
       "files": [
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-          "id": "tts_chatterbox_s3g",
-          "path": "tts/chatterbox/s3g.gguf",
-          "size": 266896736,
-          "sha256": "e3086b5584c4433a42240bbc08e4bd126c05de084b4df7dcd084c6164a7de386",
           "required": false
         },
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-          "path": "tts/chatterbox/s3t.gguf",
-          "size": 247487280,
-          "sha256": "26592ce171dd40bb54468a32dd9a3b697e15bfc23ebc8f8d218e34c3962e69c4",
           "required": false
         }
       ]

   "models_version": "1.1.0",
   "release_notes": [
     "Portable, single-instance TTS engine with 31 languages and flow-matching architecture.",
+    "Supertonic 3 replaces Kokoro (EN) + Piper (HI) as the sole TTS engine.",
+    "Chatterbox TTS integrated"
   ],
   "total_size_bytes": 9398491074,
   "model_groups": [
     },
     {
       "id": "chatterbox_tts",
+      "name": "Chatterbox Multilingual TTS Engine",
       "category": "tts",
       "version": "1.0.0",
       "files": [
         {
+          "id": "tts_chatterbox_t3",
+          "path": "tts/chatterbox/chatterbox-t3-mtl-q4_0.gguf",
+          "size": 344985408,
+          "sha256": "a7c8cbb267a836697a39757ada25a8ab095712b74961af2b86012dbd296a3a7b",
           "required": false
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+          "id": "tts_chatterbox_s3gen",
+          "path": "tts/chatterbox/chatterbox-s3gen-mtl-f16.gguf",
+          "size": 1056431360,
+          "sha256": "b25fe64c5b5287952c82684f6cadb12698257dfe8ed3d9e578801ca970b59664",
           "required": false
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