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zenlm/zen-5-max-gguf overview

Zen5 Max Top tier of the Zen5 https://zenlm.org family. The full Pro base, asymmetrically quantized routed IQ2 XXS up/gate, Q2 K down; shared experts, attentio…

ggufzen5zen5-maxzenlmhanzoimatrixiq2_xxsmoe1m-contextzen-5text-generationenzhlicense:apache-2.0endpoints_compatibleregion:us

Runs locally from ~432.72 GB disk (32 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
DeepSeek-V4-Pro-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-Instruct-imatrix.ggufGGUFIQ2XXS432.72 GBDownload

Model Details

Model IDzenlm/zen-5-max-gguf
Authorzenlm
Pipelinetext-generation
Licenseapache-2.0
Base model
Last modified2026-06-26T08:58:18.000Z

Model README

---

license: apache-2.0

library_name: gguf

pipeline_tag: text-generation

language:

  • en
  • zh

tags:

  • zen5
  • zen5-max
  • zenlm
  • hanzo
  • gguf
  • imatrix
  • iq2_xxs
  • moe
  • 1m-context
  • zen-5

---

Zen5 Max

Top tier of the Zen5 family. The full-Pro base, asymmetrically quantized (routed IQ2_XXS up/gate, Q2_K down; shared experts, attention projections, routing logits and the LM head left at higher precision).

Use when you have 512 GB+ unified memory (Mac Studio M3 Ultra 512 GB) or an 8x H100 / H200 pool and want the deepest reasoning quality in the family. For 128 GB hardware, use zenlm/zen-5-pro-gguf instead.

Part of the canonical Zen5 ladder:

| SKU | Hardware fit | This repo |

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

| zen5-flash | anything | zen-5-flash-gguf |

| zen5-mini | 32 GB | zen-5-mini-gguf |

| zen5 (default) | 24 GB+ VRAM | zen-5-gguf |

| zen5-pro | 128 GB single-machine | zen-5-pro-gguf |

| zen5-max | 512 GB Mac Studio / 8x H100 | ← you are here |

Files

| File pattern | Size | Quant |

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

| main GGUF (-IQ2XXS-w2Q2K--Instruct-imatrix.gguf) | 432 GB | routed IQ2_XXS + Q2_K, shared Q8_0, attn Q8_0, imatrix-tuned |

Run

Hosted via the Hanzo gateway (api.hanzo.ai) as zen5-max.

Local with the zen5-engine:

git clone https://github.com/zenlm/zen5-engine
cd zen5-engine && make                  # macOS Metal
                       # or: make cuda-generic for multi-H100

hf download zenlm/zen-5-max-gguf --local-dir gguf
ln -sf "$(ls gguf/*-Instruct-imatrix.gguf | head -1)" zen5max.gguf
./zen5 -m zen5max.gguf -p "Explain MoE inference."
./zen5-server -m zen5max.gguf --ctx 1000000 --kv-disk-dir /tmp/zen5-kv --kv-disk-space-mb 16384

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