Alpie Core: 32B 4-bit precision reasoning model with strong performance in multi-step reasoning and coding
By
Chirag Arya
Tired, dry, slightly forgotten on the back of the tray.
Summary
Alpie Core is a 32-billion parameter reasoning model that operates entirely at 4-bit precision, offering strong performance in multi-step reasoning and coding tasks while using significantly less computational resources than full-precision models. The model is open source, OpenAI-compatible, supports long context, and is available through multiple platforms including Hugging Face, Ollama, and a hosted API.
Key quotes
· 3 pulledAlpie Core is a 32B reasoning model trained, fine-tuned, and served entirely at 4-bit precision.
Built with a reasoning-first design, it delivers strong performance in multi-step reasoning and coding while using a fraction of the compute of full-precision models.
Alpie Core is open source, OpenAI-compatible, supports long context, and is available via Hugging Face, Ollama, and a hosted API for real-world use.
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