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batiai/Qwen3.5-27B-GGUF overview

Qwen 3.5 27B GGUF β€” Quantized by BatiAI πŸ†• Newer model available β€” Qwen3.8 27B GGUF https://huggingface.co/batiai/Qwen3.8 27B GGUF Qwen's 2026 08 release. Same…

llama.cppggufqwenquantizedapple-siliconollamabatiaion-devicetext-generationenkojazhbase_model:Qwen/Qwen3.5-27Bbase_model:quantized:Qwen/Qwen3.5-27Blicense:apache-2.0endpoints_compatibleregion:usimatrixconversational

Runs locally from ~14.05 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation
Author

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen-Qwen3.5-27B-IQ4_XS.ggufGGUFIQ4_XS14.05 GBDownload

Model Details

Model IDbatiai/Qwen3.5-27B-GGUF
Authorbatiai
Pipelinetext-generation
Licenseapache-2.0
Base modelQwen/Qwen3.5-27B
Last modified2026-08-16T23:54:47.000Z

Model README

---

language:

- en

- ko

- ja

- zh

license: apache-2.0

tags:

- gguf

- qwen

- quantized

- apple-silicon

- ollama

- batiai

- on-device

base_model: Qwen/Qwen3.5-27B

pipeline_tag: text-generation

library_name: llama.cpp

---

Qwen 3.5 27B GGUF β€” Quantized by BatiAI

> πŸ†• Newer model available β€” 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

<p align="center">

<a href="https://flow.bati.ai"><img src="https://img.shields.io/badge/BatiFlow-macOS%20AI%20Automation-blue?style=for-the-badge&logo=apple" alt="BatiFlow"></a>

<a href="https://ollama.com/batiai/qwen3.5-27b"><img src="https://img.shields.io/badge/Ollama-batiai%2Fqwen3.5--27b-green?style=for-the-badge" alt="Ollama"></a>

</p>

> 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 β€” M4 Max (128GB)

| Metric | IQ4_XS |

|--------|--------|

| Token generation | 17.0 t/s |

| Korean | βœ… |

| Tool call JSON | βœ… |

| 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 β€” 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 β€” free, on-device AI automation for Mac. 5MB app, 100% local, unlimited.

License

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

Benchmarks

<!-- BENCH-START -->

| 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 |

<!-- BENCH-END -->

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