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EdwardLee
EdwardLee
August 20, 2026

Tongyi Qianwen has publicly thanked the Unsloth team for releasing the Qwen3.8-27B GGUF quantized version, describing it as smaller and smarter. The new Unsloth Dynamic V3 3.0 quantization solution boosts accuracy by over 10% compared to similar solutions at the same size, delivering performance close to full precision in key tasks, while its 1-bit variant runs on 8GB memory. Ultra-compressed versions cut file sizes by around 89% relative to full precision. These advancements lower the threshold for local deployment of large models, enabling regular devices to use the model with its multi-modal capabilities and Apache 2.0 license, reducing reliance on cloud services. Developers can download the files from Hugging Face following the provided running guides.

Tongyi Qianwen has publicly thanked the Unsloth team for releasing the Qwen3.8-27B GGUF quantized version, describing it as smaller and smarter. The new Unsloth Dynamic V3 3.0 quantization solution boosts accuracy by over 10% compared to similar solutions at the same size, delivering performance close to full precision in key tasks, while its 1-bit variant runs on 8GB memory. Ultra-compressed versions cut file sizes by around 89% relative to full precision. These advancements lower the threshold for local deployment of large models, enabling regular devices to use the model with its multi-modal capabilities and Apache 2.0 license, reducing reliance on cloud services. Developers can download the files from Hugging Face following the provided running guides.
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