opensynapselabs/arche3.5-codium-0.5B

Arche-Codium-500M

Compact, instruction-finetuned code generation model built on Qwen2.5-Coder-0.5B-Instruct. Fast local code completion with minimal resources.

TL;DR

• —500M parameters — runs on CPU, MPS, or low-VRAM GPU
• —80% pass rate on HumanEval (16/20 tasks)
• —Apache 2.0 — fully open, commercially usable
• —CLI-ready — plug into arche-code

Live Demo

Try the model directly in your browser — no setup required:


Quick Start

With arche-code CLI

git clone https://github.com/OpenSynapseLabs/arche-code.git
cd arche-code
pip install -e .
arche --provider arche --model arche-codium-500m write "def fibonacci(n):" --max-tokens 256

The CLI auto-downloads the model on first use. Full docs: github.com/OpenSynapseLabs/arche-code

With transformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "OpenSynapseLabs/arche-codium-500m",
    torch_dtype="auto", device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("OpenSynapseLabs/arche-codium-500m")

prompt = '''def has_close_elements(numbers: list[float], threshold: float) -> bool:
    """Check if any two numbers are closer than threshold."""'''

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=128, temperature=0.2)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Benchmarks

What This Model Is

• —Lead magnet — free, capable entry point into the Arche ecosystem
• —Edge-friendly — runs on laptops, Raspberry Pi, mobile devices
• —Real code — generates executable Python, not just snippets

What This Model Is Not

• —A replacement for 7B+ models on complex architecture tasks
• —A chat model — instruction-tuned for code generation only
• —The final word — larger Arche coding models are shipping this month

Model Details

Hardware Requirements

Limitations

• —Struggles with multi-step reasoning (e.g., LRU cache with TTL)
• —May truncate output at max_tokens limits — increase if code cuts off
• —Hallucinates imports occasionally — always verify generated code
• —Best for functions under 50 lines; breaks down on large classes

Citation

@software{arche_codium_500m,
  author = {Open Synapse Labs},
  title = {Arche-Codium-500M: Compact Code Generation Model},
  year = {2026},
  url = {https://huggingface.co/OpenSynapseLabs/arche-codium-500m}
}

Contact

📧 opensynapselabs@proton.me 🐙 github.com/OpenSynapseLabs

Built by Open Synapse Labs. Base model: Qwen2.5-Coder-0.5B-Instruct (Apache 2.0).