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).

Repackaged from deepseek-ai/DeepSeek-V4-Pro (mit, DeepSeek) — quantized to GGUF from the abliterated variant by huihui-ai. Not trained from scratch — a permissively-licensed redistribution for the OSS-clean Zen model line.

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

License

apache-2.0 (this packaging). Upstream: deepseek-ai/DeepSeek-V4-Pro by DeepSeek, licensed MIT; abliterated variant by huihui-ai. This repository redistributes a quantized derivative; the upstream MIT terms are retained.

zenlm/zen5-max-gguf

Zen5 Max

Files

Run

License

zenlm/
zen5-max-gguf