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Krea 2 OSS Turbo model optimized with FP8 quantization for consumer GPUs

By PulseAugur Editorial · [1 sources] ·

A community contributor has optimized the Krea 2 OSS (Turbo) model by quantizing its weights to FP8 format. This process significantly reduces the model's size from 24.76 GiB to 12.01 GiB, making it more accessible for consumer hardware with 16GB and 24GB GPUs. The quantization selectively targets 2D weight matrices while preserving higher precision for sensitive layers and vectors, aiming to maintain output quality. AI

IMPACT Reduces VRAM requirements for Krea 2 OSS (Turbo), enabling broader use on consumer GPUs.

RANK_REASON This is a community optimization of an existing open-source model, not a release from a frontier lab.

Read on Hugging Face Trending Models →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Krea 2 OSS Turbo model optimized with FP8 quantization for consumer GPUs

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Tool
This is a community optimization of an existing open-source model, not a release from a frontier lab.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
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High
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85 days old
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COVERAGE [1]

  1. Hugging Face Trending Models TIER_1 Deutsch(DE) · AlperKTS ·

    AlperKTS/Krea2_FP8

    text-to-image · 0 downloads · 49 likes

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