Instructions to use Ashilion/model-gguf-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Ashilion/model-gguf-q4 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 Ashilion/model-gguf-q4
# Run inference directly in the terminal:
llama cli -hf Ashilion/model-gguf-q4

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Ashilion/model-gguf-q4
# Run inference directly in the terminal:
llama cli -hf Ashilion/model-gguf-q4

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 Ashilion/model-gguf-q4
# Run inference directly in the terminal:
./llama-cli -hf Ashilion/model-gguf-q4

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 Ashilion/model-gguf-q4
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Ashilion/model-gguf-q4

Use Docker

docker model run hf.co/Ashilion/model-gguf-q4

LM Studio
Jan
Ollama
How to use Ashilion/model-gguf-q4 with Ollama:
```
ollama run hf.co/Ashilion/model-gguf-q4
```
Unsloth Desktop

How to use Ashilion/model-gguf-q4 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Ashilion/model-gguf-q4

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": "Ashilion/model-gguf-q4"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Ashilion/model-gguf-q4 with Docker Model Runner:
```
docker model run hf.co/Ashilion/model-gguf-q4
```

Lemonade

How to use Ashilion/model-gguf-q4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Ashilion/model-gguf-q4

Run and chat with the model

lemonade run user.model-gguf-q4-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use Ashilion/model-gguf-q4 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Ashilion/model-gguf-q4

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 Ashilion/model-gguf-q4

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Ashilion/model-gguf-q4 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Ashilion/model-gguf-q4

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 "Ashilion/model-gguf-q4" \
  --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"

Model GGUF

Ce modèle est au format GGUF, optimisé pour llama.cpp et autres frameworks compatibles.

Utilisation

# Avec llama.cpp
./llama-cli -m model.gguf -p "Votre prompt ici"

Détails

Format: GGUF
Quantization: Q4_K_M

Downloads last month: 11

GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support