Nex N2.5 Max — Hardware Requirements & GPU Compatibility
ChatNex N2.5 Max is a 1600.8B-parameter open language model from nex-agi. It supports a context window of up to 1,048,576 tokens. At BF16 it needs about 3201.90 GB of VRAM — see which GPUs and Macs can run it below.
Specifications
- Publisher
- nex-agi
- Parameters
- 1600.8B
- Architecture
- DeepseekV4ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2026-09-07
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Nex N2.5 Max Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 3201.9 GB | 3216.2 GB | 3201.57 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Nex N2.5 Max?
BF16 · 3201.9 GBNex N2.5 Max (BF16) requires 3201.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 4163+ GB is recommended. Using the full 1049K context window can add up to 14.3 GB, bringing total usage to 3216.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Frequently Asked Questions
- How much VRAM does Nex N2.5 Max need?
Nex N2.5 Max requires 3201.9 GB of VRAM at BF16. Full 1049K context adds up to 14.3 GB (3216.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 1600.8B × 16 bits ÷ 8 = 3201.6 GB
KV Cache + Overhead ≈ 0.3 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 14.6 GB (at full 1049K context)
VRAM usage by quantization
BF163201.9 GBBF16 + full context3216.2 GB- Can NVIDIA GeForce RTX 5090 run Nex N2.5 Max?
No — Nex N2.5 Max requires at least 3201.9 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Nex N2.5 Max on a Mac?
Nex N2.5 Max requires at least 3201.9 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Nex N2.5 Max locally?
Yes — Nex N2.5 Max can run locally on consumer hardware. At BF16 quantization it needs 3201.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of Nex N2.5 Max?
At BF16, the download is about 3201.57 GB.
- Which GPUs can run Nex N2.5 Max?
No single consumer GPU has enough VRAM to run Nex N2.5 Max at BF16 (3201.9 GB). Multi-GPU or professional hardware is required.
- Which devices can run Nex N2.5 Max?
Nex N2.5 Max requires at least 3201.9 GB at BF16, which exceeds the unified memory of most consumer devices. A high-memory Mac Studio, Mac Pro, or multi-GPU desktop setup is recommended.