Instructions to use miceworks/Mark-Engineer-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use miceworks/Mark-Engineer-1.5B 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 miceworks/Mark-Engineer-1.5B:IQ4_NL
# Run inference directly in the terminal:
llama cli -hf miceworks/Mark-Engineer-1.5B:IQ4_NL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf miceworks/Mark-Engineer-1.5B:IQ4_NL
# Run inference directly in the terminal:
llama cli -hf miceworks/Mark-Engineer-1.5B:IQ4_NL

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 miceworks/Mark-Engineer-1.5B:IQ4_NL
# Run inference directly in the terminal:
./llama-cli -hf miceworks/Mark-Engineer-1.5B:IQ4_NL

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 miceworks/Mark-Engineer-1.5B:IQ4_NL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf miceworks/Mark-Engineer-1.5B:IQ4_NL

Use Docker

docker model run hf.co/miceworks/Mark-Engineer-1.5B:IQ4_NL

Llama new
LM Studio
Jan

vLLM

How to use miceworks/Mark-Engineer-1.5B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "miceworks/Mark-Engineer-1.5B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "miceworks/Mark-Engineer-1.5B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/miceworks/Mark-Engineer-1.5B:IQ4_NL

Ollama
How to use miceworks/Mark-Engineer-1.5B with Ollama:
```
ollama run hf.co/miceworks/Mark-Engineer-1.5B:IQ4_NL
```
Unsloth Desktop
Docker Model Runner
How to use miceworks/Mark-Engineer-1.5B with Docker Model Runner:
```
docker model run hf.co/miceworks/Mark-Engineer-1.5B:IQ4_NL
```

Lemonade

How to use miceworks/Mark-Engineer-1.5B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull miceworks/Mark-Engineer-1.5B:IQ4_NL

Run and chat with the model

lemonade run user.Mark-Engineer-1.5B-IQ4_NL

List all available models

lemonade list

Atomic Chat

Mark-Engineer-1.5B / mark_engineer_1_5b_metadata.json

miceworks

feat: upload METADATA weights (mark_engineer_1_5b_metadata.json)

a6fa2a0 verified 1 day ago

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389 Bytes

{
  "model_name": "Mark Engineer 1.5B Systems Specialist",
  "version": "1.0.0-converged",
  "total_parameters": 1499534080,
  "active_parameters_per_token": 315480000,
  "final_loss": 2.2275,
  "steps": 1500,
  "completed_at": "2026-10-26 20:40:25 UTC",
  "curriculum_samples": 4859,
  "format": "PyTorch + IQ4_NL",
  "target_vram_gb": 1.75,
  "status": "CONVERGED_READY_FOR_DEPLOYMENT"
}

	{
	"model_name": "Mark Engineer 1.5B Systems Specialist",
	"version": "1.0.0-converged",
	"total_parameters": 1499534080,
	"active_parameters_per_token": 315480000,
	"final_loss": 2.2275,
	"steps": 1500,
	"completed_at": "2026-10-26 20:40:25 UTC",
	"curriculum_samples": 4859,
	"format": "PyTorch + IQ4_NL",
	"target_vram_gb": 1.75,
	"status": "CONVERGED_READY_FOR_DEPLOYMENT"
	}