Instructions to use void0x14/echo 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 void0x14/echo 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 void0x14/echo:Q4_K_M # Run inference directly in the terminal: llama cli -hf void0x14/echo:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf void0x14/echo:Q4_K_M # Run inference directly in the terminal: llama cli -hf void0x14/echo: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 void0x14/echo:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf void0x14/echo:Q4_K_M
Use Docker
docker model run hf.co/void0x14/echo:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use void0x14/echo with Ollama:
ollama run hf.co/void0x14/echo:Q4_K_M
- Unsloth Desktop
- Pi
How to use void0x14/echo with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf void0x14/echo: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": "void0x14/echo:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use void0x14/echo with Docker Model Runner:
docker model run hf.co/void0x14/echo:Q4_K_M
- Lemonade
How to use void0x14/echo with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull void0x14/echo:Q4_K_M
Run and chat with the model
lemonade run user.echo-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use void0x14/echo with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf void0x14/echo: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 void0x14/echo:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use void0x14/echo with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf void0x14/echo: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 "void0x14/echo: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"
void0x14
feat: VISION GGUF calisiyor — mmproj + multimodal test kanitlari + rapor v3
c3c1d78 unverified Download MVP/run_multimodal.sh from void0x14/echo: direct link, hf CLI and curl.
- Browser
- Download file 492 Bytes
-
https://huggingface.co/void0x14/echo/resolve/main/MVP/run_multimodal.sh
- Command line
-
hf download hf://void0x14/echo/MVP/run_multimodal.sh
-
curl -L -o run_multimodal.sh https://huggingface.co/void0x14/echo/resolve/main/MVP/run_multimodal.sh
492 Bytes
| # Qwen3.5 multimodal calistirma tarifi (Vulkan / RX460) | |
| # Kullanim: ./run_multimodal.sh <resim.png> ["soru metni"] | |
| set -e | |
| LLAMA=/tmp/llama-upstream/build/bin/llama-cli | |
| GGUF_DIR="$(dirname "$0")/../artifacts/gguf-vision" | |
| IMG="${1:-test_red.png}" | |
| PROMPT="${2:-What is in this image? Answer briefly.}" | |
| exec "$LLAMA" \ | |
| -m "$GGUF_DIR/qwen35-text-Q4_K_M.gguf" \ | |
| --mmproj "$GGUF_DIR/mmproj-F32.gguf" \ | |
| --image "$IMG" \ | |
| -p "$PROMPT" \ | |
| -ngl 99 --temp 0 -n 200 -no-cnv | |