Tantra Kp Beta 1.5b.1 ❲4K❳

What is your primary (e.g., Nvidia GPU, Apple Silicon, mobile)? Do you intend to fine-tune the model on a custom dataset? Share public link

1.5 Billion (optimized for low-quantization loss). tantra kp beta 1.5b.1

Standard small models often suffer severe performance degradation when quantized to 4-bit or 3-bit precisions. Tantra KP Beta 1.5b.1 introduces an altered training loss function that preserves semantic coherence even when compressed via AWQ (Activation-aware Weight Quantization) or GGUF formats. Refined Instruction Following What is your primary (e

Capable of scanning localized company wikis and answering user queries accurately without massive cloud computing bills. What is your primary (e.g.

The 1.5b.1 iteration introduces several critical patches and architectural refinements over its predecessor. 1. Refined Knowledge Processing (KP)