What is Alpie Core?

Alpie Core is a 32B reasoning model that is trained, fine-tuned, and served entirely at 4-bit precision. Unlike many large language models that rely on full-precision computation, Alpie Core is built with a reasoning-first design that delivers strong performance in multi-step reasoning and coding tasks while using a fraction of the compute. It is open source, OpenAI-compatible, supports long context windows, and is available via Hugging Face, Ollama, and a hosted API for real-world use.

Who it's for

• Developers and engineers who need a cost-efficient, high-performance model for complex coding and reasoning tasks without the overhead of full-precision models.
• AI researchers and hobbyists looking for an open-source, 4-bit reasoning model that can be fine-tuned and deployed on modest hardware.
• Startups and small teams that want to integrate a capable, OpenAI-compatible model into their products without paying for expensive cloud inference.

Key features

4-bit precision training and serving

Alpie Core is trained, fine-tuned, and served entirely at 4-bit precision, dramatically reducing memory and compute requirements while maintaining strong performance in reasoning and coding tasks.

Reasoning-first architecture

The model is designed from the ground up for multi-step reasoning, making it particularly effective at tasks that require logical deduction, problem-solving, and code generation.

Long context support

Alpie Core supports extended context windows, allowing it to process and reason over large documents, codebases, or conversation histories without losing coherence.