What are the hardware requirements for Nex N2.6?

Nex N2.6 requires approximately 112.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nex N2.6 and how large is it?

Nex N2.6 is developed by nex-agi, a model with 321.3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Nex N2.6?

Nex N2.6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nex N2.6 by nex-agi — VRAM 112.7GB

Name: Nex N2.6
Author: nex-agi

Nex N2.6 is an open-source language model by nex-agi. Features: 321.3b LLM, VRAM: 112.7GB, License: apache-2.0, LLM Explorer Score: 0.46.

Conversational Endpoints compatible Fp8 Glm5 next Image-text-to-text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nex-agi/Nex-N2.6

Nex N2.6 Parameters and Internals

LLM Name	Nex N2.6
Repository 🤗	https://huggingface.co/nex-agi/Nex-N2.6
Model Size	321.3b
Required VRAM	112.7 GB
Updated	2026-11-13
Maintainer	nex-agi
Model Type	glm5_next
Model Files	4.1 GB: 1-of-129 2.5 GB: 2-of-129 2.5 GB: 3-of-129 2.6 GB: 4-of-129 2.5 GB: 5-of-129 2.5 GB: 6-of-129 2.6 GB: 7-of-129 2.5 GB: 8-of-129 2.5 GB: 9-of-129 2.6 GB: 10-of-129 2.5 GB: 11-of-129 2.5 GB: 12-of-129 2.5 GB: 13-of-129 2.5 GB: 14-of-129 2.5 GB: 15-of-129 2.6 GB: 16-of-129 2.5 GB: 17-of-129 2.5 GB: 18-of-129 2.6 GB: 19-of-129 2.5 GB: 20-of-129 2.5 GB: 21-of-129 2.6 GB: 22-of-129 2.5 GB: 23-of-129 2.5 GB: 24-of-129 2.5 GB: 25-of-129 2.5 GB: 26-of-129 2.5 GB: 27-of-129 2.6 GB: 28-of-129 2.5 GB: 29-of-129 2.5 GB: 30-of-129 2.6 GB: 31-of-129 2.5 GB: 32-of-129 2.5 GB: 33-of-129 2.6 GB: 34-of-129 2.5 GB: 35-of-129 2.5 GB: 36-of-129 2.5 GB: 37-of-129 2.5 GB: 38-of-129 2.5 GB: 39-of-129 2.6 GB: 40-of-129 2.5 GB: 41-of-129 2.5 GB: 42-of-129 2.6 GB: 43-of-129 2.5 GB: 44-of-129
Model Architecture	Glm5NextForConditionalGeneration
License	apache-2.0
Transformers Version	5.16.1

Rank the Nex N2.6 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Nex N2.6

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 Flash	0K / 237.5 GB	34	1289
GLM 5.3 Flash BF16	0K / 237.1 GB	24	38
Apex Flash 1 Abliterated	0K / 460.9 GB	539	40
GLM 5.3 Flash FP8	0K / 237.5 GB	5048	22
Apex Flash 1	0K / 460.9 GB	367	37
... 5.3 Flash CYBERSECURITY W4A16	0K / 71.6 GB	4022	8
RED SNOW 5.3 FLASH BF16	0K / 215.5 GB	912	11
GLM 5.3 Flash ABLITERATED FP8	0K / 226.7 GB	1465	18
GLM 5.3 Flash	0K / 242.5 GB	1034	15
... Flash MLX Serve IQ MLX 5.1bpw	0K / 202.8 GB	331	2

Note: green Score (e.g. "73.2") means that the model is better than nex-agi/Nex-N2.6.