Instructions to use erdemozkan/YOLO-Coder-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use erdemozkan/YOLO-Coder-8B with MLX:

# Download the model from the Hub
pip install huggingface_hub[hf_xet]

hf download erdemozkan/YOLO-Coder-8B --local-dir YOLO-Coder-8B

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use erdemozkan/YOLO-Coder-8B 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 erdemozkan/YOLO-Coder-8B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf erdemozkan/YOLO-Coder-8B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf erdemozkan/YOLO-Coder-8B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf erdemozkan/YOLO-Coder-8B: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 erdemozkan/YOLO-Coder-8B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf erdemozkan/YOLO-Coder-8B: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 erdemozkan/YOLO-Coder-8B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf erdemozkan/YOLO-Coder-8B:Q4_K_M

Use Docker

docker model run hf.co/erdemozkan/YOLO-Coder-8B:Q4_K_M

LM Studio
Jan
Ollama
How to use erdemozkan/YOLO-Coder-8B with Ollama:
```
ollama run hf.co/erdemozkan/YOLO-Coder-8B:Q4_K_M
```
Unsloth Desktop

How to use erdemozkan/YOLO-Coder-8B with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "erdemozkan/YOLO-Coder-8B"

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "erdemozkan/YOLO-Coder-8B"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use erdemozkan/YOLO-Coder-8B with Docker Model Runner:
```
docker model run hf.co/erdemozkan/YOLO-Coder-8B:Q4_K_M
```

Lemonade

How to use erdemozkan/YOLO-Coder-8B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull erdemozkan/YOLO-Coder-8B:Q4_K_M

Run and chat with the model

lemonade run user.YOLO-Coder-8B-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use erdemozkan/YOLO-Coder-8B with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "erdemozkan/YOLO-Coder-8B"

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 erdemozkan/YOLO-Coder-8B

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use erdemozkan/YOLO-Coder-8B with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "erdemozkan/YOLO-Coder-8B"

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 "erdemozkan/YOLO-Coder-8B" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

erdemozkan commited on May 4

Commit

e6edfe5

verified ·

1 Parent(s): c705542

Update README.md

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@@ -18,7 +18,6 @@ model-index:
 - name: YOLO-Coder-8B
   results: []
 ---
 <div align="center">
   <img src="yolo_coder.png" alt="YOLO-Coder" width="280" />
 </div>
@@ -28,9 +27,7 @@ model-index:
 [Website](https://yolocoderai.com) &nbsp;|&nbsp; [GitHub](https://github.com/erdemozkan/YOLO-CODER) &nbsp;|&nbsp; [Twitter](https://twitter.com/erdemwrites) &nbsp;|&nbsp; [Dataset](https://github.com/erdemozkan/YOLO-CODER/tree/main/benchmark) &nbsp;|&nbsp; [YOLO-Coder-1.5B](https://huggingface.co/erdemozkan/YOLO-Coder-1.5B)
 **License: [MIT](https://opensource.org/licenses/MIT)** &nbsp;|&nbsp; **Author: [@erdemwrites](https://twitter.com/erdemwrites)**
 </div>
 ---
 # YOLO-Coder-8B

 - name: YOLO-Coder-8B
   results: []
 ---
 <div align="center">
   <img src="yolo_coder.png" alt="YOLO-Coder" width="280" />
 </div>
 [Website](https://yolocoderai.com) &nbsp;|&nbsp; [GitHub](https://github.com/erdemozkan/YOLO-CODER) &nbsp;|&nbsp; [Twitter](https://twitter.com/erdemwrites) &nbsp;|&nbsp; [Dataset](https://github.com/erdemozkan/YOLO-CODER/tree/main/benchmark) &nbsp;|&nbsp; [YOLO-Coder-1.5B](https://huggingface.co/erdemozkan/YOLO-Coder-1.5B)
 **License: [MIT](https://opensource.org/licenses/MIT)** &nbsp;|&nbsp; **Author: [@erdemwrites](https://twitter.com/erdemwrites)**
 </div>
 ---
 # YOLO-Coder-8B