Nex-AGI397B (17B active)~240 GB VRAM at Q4_K_M

Nex-N2 Pro — VRAM, speed & local setup

Written by Jakub Rusinowski · Last updated

397B total, 17B active, Apache 2.0 — 240 GB at Q4_K_M, so datacenter or nothing. Terminal-Bench 2.1 at 75.3, SWE-bench Verified at 80.8, GPQA Diamond at 90.7, GDPval at 1585. Accepts image input as well as text. The permissive licence is the notable part: a 397B model you may deploy commercially without asking anyone.

Nex-N2 Pro needs about 240 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.

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VRAM and speed by quantization

Quoted against NVIDIA RTX 4090 (24 GB). Weights plus overhead only: this model's architecture is unpublished, so no KV cache is added.

QuantVRAMSpeed (est.)Fit
Q2_K
2.63 bpw
131.3 GB—Too big
Q3_K_M
3.41 bpw
170 GB—Too big
Q4_K_M
4.83 bpw
240.5 GB—Too big
Q5_K_M
5.67 bpw
282.2 GB—Too big
Q6_K
6.56 bpw
326.3 GB—Too big
Q8_0
8.50 bpw
422.6 GB—Too big
F16
16.00 bpw
794.8 GB—Too big

Black marker = usable memory on the NVIDIA RTX 4090 (24 GB). Estimates from the memory-bandwidth roofline on the methodology page. Nex-N2 Pro VRAM calculator →

Get Nex-N2 Pro running

The cheapest catalogued GPU that runs Nex-N2 Pro is the Apple M3 Ultra (512 GB).

Buy this hardware Apple Mac Studio M3 Ultra — 512 GB VRAM · 60 W board powerDeploy in the cloud now RunPod

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Apple Mac Studio M3 Ultra
512 GB VRAM · 60 W board power
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How to run Nex-N2 Pro

Install Ollama, then run:

ollama run nex-n2
Weights on Hugging Face: nex-agi/Nex-N2-Pro ↗

Specifications

Verified — Checked against the primary source — the model card or the vendor spec page — and corroborated by a second independent source.

Parameters
397 Billion (17B active)
Context window
262,144
Architecture
Mixture-of-Experts (Qwen3.5-397B-A17B post-train, multimodal)
Provider
Nex-AGI
Licence
Apache 2.0
Practical deployment
Workstation (large unified memory or pro GPU)
Specified at
Q4_K_M
System RAM
256 GB
Record updated
2026-09-08
LicenceApache-2.0Commercial use permitted

Commercial use permitted. No usage restrictions beyond attribution.

Quality and use cases

Scores as published by the model’s authors or an independent evaluator — quality, not throughput, and not measured by us.

Best foragentic taskssoftware engineeringenterpriseresearch

Can I run Nex-N2 Pro on my GPU?

Other Nex-N2 sizes

Nex-N2 Pro — frequently asked questions

How much VRAM does Nex-N2 Pro need?

About 240 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.

Does Nex-N2 Pro run on an RTX 4090 (24 GB)?

No. Nex-N2 Pro needs about 240 GB at Q4_K_M, more than a single RTX 4090's 24 GB. It needs a larger card, several GPUs, or Apple Silicon with enough unified memory — or it runs with part of the weights offloaded to system RAM, which is much slower.

How do I run Nex-N2 Pro locally?

Install Ollama and run `ollama run nex-n2`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.

What other sizes does Nex-N2 come in?

Nex-N2 mini (22 GB), Nex-N2 Pro (240 GB). Every size shares the family's training and licence; the larger ones score higher and need proportionally more memory.