What are the hardware requirements for Eurux 8x22b Nca?

Eurux 8x22b Nca requires approximately 221.6 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Eurux 8x22b Nca and how large is it?

Eurux 8x22b Nca is developed by openbmb, a model with 140.6b 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 Eurux 8x22b Nca?

Eurux 8x22b Nca is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Eurux 8x22b Nca by openbmb — VRAM 221.6GB, 64K context

Name: Eurux 8x22b Nca
Author: openbmb

Eurux 8x22b Nca is an open-source language model by openbmb. Features: 140.6b LLM, VRAM: 221.6GB, Context: 64K, License: apache-2.0, MoE, LLM Explorer Score: 0.12.

Arxiv:2402.05369 Arxiv:2404.02078 Conversational Dataset:openbmb/ultrafeedback Dataset:openbmb/ultrainteract ... Dataset:openbmb/ultrainteract ... Endpoints compatible Mixtral Moe Nca Preference learning Reasoning Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/openbmb/Eurux-8x22b-nca

Eurux 8x22b Nca Parameters and Internals

Model Type

text-generation

Additional Notes

Achieves superb reasoning performance as well as excellent chat & instruction-following capabilities.

Training Details

Data Sources:

openbmb/UltraInteract_sft, openbmb/UltraInteract_pair, openbmb/UltraFeedback

Methodology:

SFT and NCA fine-tuned

Input Output

Performance Tips:

Tailored prompts for coding and math. Example formats provided for different tasks.

LLM Name	Eurux 8x22b Nca
Repository 🤗	https://huggingface.co/openbmb/Eurux-8x22b-nca
Model Size	140.6b
Required VRAM	221.6 GB
Updated	2026-07-07
Maintainer	openbmb
Model Type	mixtral
Model Files	5.0 GB: 1-of-59 4.8 GB: 2-of-59 4.8 GB: 3-of-59 4.8 GB: 4-of-59 4.8 GB: 5-of-59 4.8 GB: 6-of-59 4.8 GB: 7-of-59 4.8 GB: 8-of-59 4.8 GB: 9-of-59 4.8 GB: 10-of-59 4.8 GB: 11-of-59 4.8 GB: 12-of-59 4.8 GB: 13-of-59 4.8 GB: 14-of-59 4.8 GB: 15-of-59 4.8 GB: 16-of-59 4.8 GB: 17-of-59 4.8 GB: 18-of-59 4.8 GB: 19-of-59 4.8 GB: 20-of-59 4.8 GB: 21-of-59 4.8 GB: 22-of-59 4.8 GB: 23-of-59 4.9 GB: 24-of-59 5.0 GB: 25-of-59 5.0 GB: 26-of-59 4.9 GB: 27-of-59 4.8 GB: 28-of-59 4.8 GB: 29-of-59 4.8 GB: 30-of-59 4.8 GB: 31-of-59 4.8 GB: 32-of-59 4.8 GB: 33-of-59 4.8 GB: 34-of-59 4.8 GB: 35-of-59 4.8 GB: 36-of-59 4.8 GB: 37-of-59 4.8 GB: 38-of-59 4.8 GB: 39-of-59 4.8 GB: 40-of-59 4.8 GB: 41-of-59 4.8 GB: 42-of-59 4.8 GB: 43-of-59 4.8 GB: 44-of-59 4.8 GB: 45-of-59 4.8 GB: 46-of-59
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.40.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Eurux 8x22b Nca 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 Eurux 8x22b Nca

Best Alternatives	Context / RAM	Downloads	Likes
Mixtral 8x22B Instruct V0.1	64K / 221.4 GB	71589	756
Zephyr Orpo 141B A35b V0.1	64K / 207.2 GB	66	270
WizardLM 2 8x22B	64K / 216.8 GB	9656	415
Mixtral 8x22B V0.1	64K / 221.6 GB	5069	239
...ixtral 8x22B Instruct V0.1 FP8	64K / 140.9 GB	11259	0
Mixtral 8x22B V0.1	64K / 212 GB	109	671
Mixtral 8x22B V0.3	64K / 221.4 GB	11	3
XLAM 8x22b R	64K / 211.8 GB	15934	45
Dolphin 2.9.2 Mixtral 8x22b	64K / 207.2 GB	9311	40
Dolphin 2.9.2 Mixtral 8x22b	64K / 207.2 GB	8402	43

Note: green Score (e.g. "73.2") means that the model is better than openbmb/Eurux-8x22b-nca.