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Qwen3.8-27B model achieves near-BF16 performance with aggressive NVFP4 quantization

By PulseAugur Editorial · [1 sources] ·

A new fully quantized version of the Qwen3.8-27B model, named Qwen3.8-27B-QUASAR-NVFP4, has been released. This model utilizes a novel quantization-aware distillation (QAD) algorithm called QUASAR, achieving an aggressive NVFP4 quantization for all linear layers. Despite the high level of quantization, the model demonstrates performance comparable to the original BF16 version on benchmarks like GPQA-Diamond and AIME26, while significantly reducing its size to 19.7 GB. AI

IMPACT Enables running larger models on less VRAM, potentially democratizing access to advanced AI capabilities.

RANK_REASON Release of a quantized model with a new QAT algorithm and benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

Qwen3.8-27B model achieves near-BF16 performance with aggressive NVFP4 quantization

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3 / 100
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Release of a quantized model with a new QAT algorithm and benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]
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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.
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model release, infra
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/arty_photography ·

    Fully quantized NVFP4 Qwen3.8-27B with QUASAR QAD

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vyie86/fully_quantized_nvfp4_qwen3827b_with_quasar_qad/"> <img alt="Fully quantized NVFP4 Qwen3.8-27B with QUASAR QAD" src="https://external-preview.redd.it/Vfy7cPAnELDYpF0TAOFYURin2c3hGZ1OD_WJq1r-ZRk.png?wid…

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