This model was trained on a dataset of curated C/C++ code from multiple licenses (GPL-2.0, Apache-2.0, MIT, public domain, and some source-available licenses, etc.). The original authors are not affiliated with or responsible for this model.

Base Model

Base model: Qwen/Qwen3-4B-Base

Fine-tuning Method

Adapter: QLoRA
Method: CPT
Precision: trained with 4-bit base weights + BF16 compute, then merged to safetensors

Training Details

Training time: ~74 hours
Hardware: 1x NVIDIA RTX 5060 Ti

Notes

This is an L0 base model, it is not instruction-tuned and may be more verbose with strict formatting request compared to an instruct model.
Recommended usage is raw code continuation, or pairing with an external template strategy.

Intended use

Code generation for C/C++
Fast code completion
Examples and prototyping

Constraints

May produce incorrect code
May reproduce identifiable upstream code fragments (including license headers) when prompted.
Verify outputs, especially for memory safety and security-sensitive code.

luminousresearch/L0-PolyCore-4B-Base

Training Data