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Alpie Core

By 169Pi
Alpie-Core is a 32B-parameter reasoning model from 169Pi, fine-tuned in 4-bit NF4 precision with double quantization and parameter-efficient training methods such as LoRA and QLoRA. The repository describes it as a resource-optimized model for reasoning, mathematics, coding, and science, with a 65K-token context window, streaming support, and an approximate 16GB memory footprint for deployment. 169Pi reports results including 81.28% on MMLU, 92.75% on GSM8K, and 57.8% on SWE-Bench Verified, and says the model was trained using 8 NVIDIA Hopper GPUs. It is released under the Apache 2.0 license.
Text Gen 3
Released: September 23, 2025

Overview

Alpie-Core is 169Pi’s first-generation 4-bit quantized reasoning model, built on the DeepSeek-32B family and optimized for efficient reasoning, mathematics, coding, and science tasks. It combines QLoRA, LoRA, and synthetic dataset distillation, supports a 65K-token context, and is designed to deliver strong reasoning performance with far lower memory and compute costs.

About 169Pi

Alpie is a free AI assistant built by 169Pi, an Indian AI research lab. It is powered by Alpie Core, a 32B parameter 4-bit quantized reasoning model that achieves competitive benchmarks against larger models at a fraction of the cost (~$3.50/1M tokens). The platform offers collaborative AI search, multi-agent workflows, and an API for developers across text, code, and reasoning tasks.

Industry: Artificial Intelligence
Company Size: 42
Location: Mumbai, IN
Website: alpie.ai
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Tools using Alpie Core

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Last updated: April 2, 2026
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