Instructions to use BreyAIrev/jarvis-14b-cnc-expert-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use BreyAIrev/jarvis-14b-cnc-expert-gguf 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 BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf BreyAIrev/jarvis-14b-cnc-expert-gguf: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 BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf BreyAIrev/jarvis-14b-cnc-expert-gguf: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 BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M

Use Docker

docker model run hf.co/BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use BreyAIrev/jarvis-14b-cnc-expert-gguf with Ollama:
```
ollama run hf.co/BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M
```
Unsloth Desktop

How to use BreyAIrev/jarvis-14b-cnc-expert-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf BreyAIrev/jarvis-14b-cnc-expert-gguf: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": "BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use BreyAIrev/jarvis-14b-cnc-expert-gguf with Docker Model Runner:
```
docker model run hf.co/BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M
```

Lemonade

How to use BreyAIrev/jarvis-14b-cnc-expert-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M

Run and chat with the model

lemonade run user.jarvis-14b-cnc-expert-gguf-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use BreyAIrev/jarvis-14b-cnc-expert-gguf with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf BreyAIrev/jarvis-14b-cnc-expert-gguf: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 BreyAIrev/jarvis-14b-cnc-expert-gguf:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use BreyAIrev/jarvis-14b-cnc-expert-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf BreyAIrev/jarvis-14b-cnc-expert-gguf: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 "BreyAIrev/jarvis-14b-cnc-expert-gguf: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"

🤖 JARVIS 14B — CNC & IoT Expert (GGUF)

📋 Description

Fine-tuned Qwen2.5-Coder-14B specialized in CNC G-code programming and IoT automation. Generates production-ready G-code for Fanuc, Siemens SINUMERIK, and Heidenhain TNC controllers.

🎯 Specializations

G-Code Generation: Fanuc, Siemens, Heidenhain — drilling, milling, turning, contouring
CNC Optimization: HSM strategies, cutting parameters, cycle time estimation
IoT Automation: MQTT, ESP32/Arduino, sensor integration
Infrastructure: Docker, systemd, monitoring, GPU management

📊 Training Details

Parameter	Value
Base Model	Qwen2.5-Coder-14B
Method	LoRA (rank 32, alpha 64)
Training GPU	NVIDIA A100-SXM4-40GB
Dataset	881 expert examples
Epochs	3
Final Loss	0.17
Sequence Length	1024
Target Modules	q, k, v, o, gate, up, down

📦 Available Files

File	Size	Quantization	Use Case
`jarvis-14b-cnc-expert.Q4_K_M.gguf`	8.4 GB	Q4_K_M (4.87 BPW)	Recommended — best quality/size ratio

🔧 Usage with Ollama

# Download and create model
ollama create jarvis-cnc -f Modelfile

# Run
ollama run jarvis-cnc "Write Fanuc G-code for drilling 4 M6 holes in a 40x40mm square pattern, depth 15mm"

Modelfile

FROM jarvis-14b-cnc-expert.Q4_K_M.gguf

SYSTEM "You are JARVIS, a CNC and IoT expert. You generate production-ready G-code for Fanuc, Siemens and Heidenhain controllers."

PARAMETER temperature 0.7
PARAMETER num_ctx 4096

💰 License & Access

This model is gated. All access requires approval.

📋 Research/Evaluation: Submit an access request with your use case
💼 Commercial license: Contact @BreyAIrev for pricing
⚠️ Redistribution prohibited without written consent

🔗 Related

Downloads last month: 30

GGUF

Model size

15B params

Architecture

qwen2

Hardware compatibility

4-bit

Inference Providers NEW

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

Model tree for BreyAIrev/jarvis-14b-cnc-expert-gguf

Base model

Qwen/Qwen2.5-14B

Finetuned

Qwen/Qwen2.5-Coder-14B

Quantized

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