batiai/Qwen3.5-27B-GGUF

🤗 Hugging Face sourcetext-generationapache-2.027B activated15 GBGGUF✓ 1 checksumupdated 59d ago
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Qwen 3.5 27B GGUF — Quantized by BatiAI

🆕 Newer model available — Qwen3.8-27B GGUF Qwen's 2026-08 release. Same 27B class, six quants from 10 GB, vision included, Korean-verified. ollama run batiai/qwen3.8-27b:iq4

IQ4_XS quantization of Qwen/Qwen3.5-27B for on-device AI on Mac. Built and verified by BatiAI for BatiFlow.

Quick Start

ollama pull batiai/qwen3.5-27b:iq4

Available Quantizations

Quant Size VRAM M4 Max (128GB) Recommended For
IQ4_XS 14GB 28GB 17.0 t/s 32GB+ Mac

Benchmarks — M4 Max (128GB)

Metric IQ4_XS
Token generation 17.0 t/s
Korean ✅
Tool call JSON ✅
VRAM 28 GB

vs Other Qwen 3.5 Models

Model Size VRAM Speed Min Mac
batiai/qwen3.5-9b:q4 5.2GB ~8GB 12.5 t/s 16GB
batiai/qwen3.5-27b:iq4 14GB 28GB 17.0 t/s 32GB
batiai/qwen3.5-35b:iq4 17GB 23GB 26.6 t/s 36GB

For 36GB+ Mac, consider batiai/qwen3.5-35b — MoE architecture, faster and less VRAM.

Technical Details

  • Original Model: Qwen/Qwen3.5-27B
  • Architecture: Hybrid (Gated DeltaNet + GQA + MoE)
  • Context Window: 262K tokens
  • License: Apache 2.0
  • Quantized with: llama.cpp (build 400ac8e)

About BatiFlow

BatiFlow — free, on-device AI automation for Mac. 5MB app, 100% local, unlimited.

License

Quantized from Qwen/Qwen3.5-27B. License: Apache 2.0.

Benchmarks

Machine Quant Cold start Prompt eval Token gen Tested
MacBook Pro M4 Max 128GB IQ4_XS 4.827s 82.37 t/s 11.71 t/s 2026-05-03