Nex-AGI35B (3B active)~22 GB VRAM at Q4_K_M

Nex-N2 mini — VRAM, speed & local setup

Written by Jakub Rusinowski · Last updated

35B total, 3B active, Apache 2.0 — 21.9 GB of weights at Q4_K_M and 23.8 GB with an 8K context, so it lands tight on a 24 GB card and clears a 32 GB one. Scores 74.4 on SWE-bench Verified and 60.7 on Terminal-Bench 2.1, which puts a genuinely agentic model inside consumer memory. Sparsity is the whole trick: VRAM is charged on all 35B, decode speed on just 3B.

Nex-N2 mini needs about 22 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.

Logic80
Creative75
Coding82

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 Weights plus overhead only: this model's architecture is unpublished, so no KV cache is added.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
12.3 GB~209 tok/sFits
Q3_K_M
3.41 bpw
15.7 GB~193 tok/sFits
Q4_K_M
4.83 bpw
21.9 GB~170 tok/sTight
Q5_K_M
5.67 bpw
25.6 GB~24 tok/sOffload
Q6_K
6.56 bpw
29.5 GB~22 tok/sOffload
Q8_0
8.50 bpw
38 GB~19 tok/sOffload
F16
16.00 bpw
70.8 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 mini VRAM calculator →

Get Nex-N2 mini running

The cheapest catalogued GPU that runs Nex-N2 mini is the NVIDIA GeForce RTX 5090 (32 GB).

Buy this hardware NVIDIA GeForce RTX 5090 32GB — 32 GB VRAM · 575 W board powerDeploy in the cloud now RTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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NVIDIA GeForce RTX 5090 32GB
32 GB VRAM · 575 W board power
2026 prices are volatile — check the current listing.

How to run Nex-N2 mini

Install Ollama, then run:

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

Specifications

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

Parameters
35 Billion (3B active)
Context window
262,144
Architecture
Mixture-of-Experts (Qwen3.5-35B-A3B-Base post-train)
Provider
Nex-AGI
Licence
Apache 2.0
Practical deployment
Single consumer GPU
Specified at
Q4_K_M
System RAM
32 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 taskscodingconsumer gpusoftware engineering

Can I run Nex-N2 mini on my GPU?

Other Nex-N2 sizes

Nex-N2 mini — frequently asked questions

How much VRAM does Nex-N2 mini need?

About 22 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 mini run on an RTX 4090 (24 GB)?

Yes. Nex-N2 mini needs about 22 GB at Q4_K_M, inside a 24 GB card, at an estimated 170 tokens/sec.

How do I run Nex-N2 mini 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.