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 May 15

Commit

d3dc482

1 Parent(s): c9658c4

fixed hashes in manifest

Browse files

Files changed (1) hide show

manifest.json +8 -8

manifest.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "version": "1.0.0",
-  "total_size_bytes": 5008946279,
   "models": [
     {
       "id": "ten_vad",
@@ -12,19 +12,19 @@
       "id": "stt_conv_frontend",
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       "size": 44148281,
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     },
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       "id": "stt_encoder",
       "path": "stt/qwen3-asr/encoder.int8.onnx",
       "size": 182491662,
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     },
     {
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       "path": "stt/qwen3-asr/decoder.int8.onnx",
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     },
     {
       "id": "stt_vocab",
@@ -54,13 +54,13 @@
       "id": "tts_kokoro_onnx",
       "path": "tts/kokoro/model.onnx",
       "size": 345555491,
-      "sha256": "6b64b1473beb7efa5704e821a4384839b722bdc671ef7300ad640a2f301a8c0b"
     },
     {
       "id": "tts_kokoro_voices",
       "path": "tts/kokoro/voices.bin",
       "size": 5755904,
-      "sha256": "4c5c6bde45060417d61978970aa7684b25e8d3d7cc5349a4f3222474899a8388"
     },
     {
       "id": "tts_kokoro_tokens",
@@ -91,7 +91,7 @@
       "id": "tts_hi_priyamvada_onnx",
       "path": "tts/piper_hi/hi_IN-priyamvada-medium.onnx",
       "size": 63145178,
-      "sha256": "91f62f46662fad367a977a48abd30ee1a7f178a6f2f3e3930361a8f6c0a92421"
     },
     {
       "id": "tts_hi_priyamvada_config",
@@ -119,4 +119,4 @@
       "archive": "tar.gz"
     }
   ]
-}

 {
   "version": "1.0.0",
+  "total_size_bytes": 5008946285,
   "models": [
     {
       "id": "ten_vad",
       "id": "stt_conv_frontend",
       "path": "stt/qwen3-asr/conv_frontend.onnx",
       "size": 44148281,
+      "sha256": "d22dc4423e0940e49884e903d2ea2f7e5567c14fc1aed97e4e26d6b8f208ef9e"
     },
     {
       "id": "stt_encoder",
       "path": "stt/qwen3-asr/encoder.int8.onnx",
       "size": 182491662,
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     },
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       "id": "stt_decoder",
       "path": "stt/qwen3-asr/decoder.int8.onnx",
       "size": 755914231,
+      "sha256": "4f6885be5959ae26af3089d38ee7972c5fafbeeb1cf8d5e76eab6d8b61ca5771"
     },
     {
       "id": "stt_vocab",
       "id": "tts_kokoro_onnx",
       "path": "tts/kokoro/model.onnx",
       "size": 345555491,
+      "sha256": "10ff414106a038ce7e9e0126c6461e4dc8a86efaa89dc91d2009d69fe635e339"
     },
     {
       "id": "tts_kokoro_voices",
       "path": "tts/kokoro/voices.bin",
       "size": 5755904,
+      "sha256": "a372c67b056ef0b695c375d39b99630d23fb07ad4c8d87aa32a19a62fca523ad"
     },
     {
       "id": "tts_kokoro_tokens",
       "id": "tts_hi_priyamvada_onnx",
       "path": "tts/piper_hi/hi_IN-priyamvada-medium.onnx",
       "size": 63145178,
+      "sha256": "8871f3e07adb6ca490f8dbcd3956a8647c53c35b5d0a1c2a8d097b3bf721a31b"
     },
     {
       "id": "tts_hi_priyamvada_config",
       "archive": "tar.gz"
     }
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+}