Shapelearn Qwen 3.8 27B (13.1 GB VRAM)
ByteShape released full ShapeLearn GGUF quants of Qwen 3.8 27B; its GPU-5 IQ4_XS reaches 99.63% of BF16 quality at 13.1 GB VRAM.
ByteShape released its full ShapeLearn GGUF quantization set for Qwen 3.8 27B (base model released August 14, 2026), following the earlier ShapeLearn-Lite quants published four days after launch. Five quants spanning IQ2_XXS 2.56bpw to IQ4_XS 3.84bpw were benchmarked on six GPUs against Unsloth Dynamic v3, ISTA-DASLab, Bartowski, and AtomicChat; GPU-5 reaches 99.63% of the BF16 aggregate score at roughly 90 tok/s on RTX Pro 6000 and RTX 5090. Each GGUF bundles an MTP draft head, and a separate 1.1 GB DFlash2 draft model enables faster text-only speculative decoding via llama.cpp.
- Five quants span IQ2_XXS 2.56bpw to IQ4_XS 3.84bpw, all on the quality-speed frontier
- GPU-5 IQ4_XS hits 99.63% of BF16 aggregate score at ~90 tok/s
- MTP draft head is bundled; DFlash2 uses a separate 1.1 GB draft model
- Benchmarked against Unsloth, ISTA-DASLab, Bartowski, and AtomicChat on six GPUs
- Products
- llama.cppShapeLearn GGUFsDFlash2
- Organizations
- UnslothISTA-DASLab
- AI models
- Qwen3.8-27B
From the original article
14 min read at byteshape.com
Qwen 3. 8 27B was released on August 14, 2026. Four days later, on August 18, we published our first set of GGUFs.
By syntaxing · byteshape.com
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