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Eurux 8x22b Nca by openbmb

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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: 0.13.

  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 Benchmarks

LLME Score: 0.12662
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Eurux 8x22b Nca (openbmb/Eurux-8x22b-nca)
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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 NameEurux 8x22b Nca
Repository 🤗https://huggingface.co/openbmb/Eurux-8x22b-nca 
Model Size140.6b
Required VRAM221.6 GB
Updated2026-05-01
Maintaineropenbmb
Model Typemixtral
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 ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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...ixtral 8x22B Instruct V0.1 FP864K / 140.9 GB10930
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Dolphin 2.9.2 Mixtral 8x22b64K / 207.2 GB819543
Note: green Score (e.g. "73.2") means that the model is better than openbmb/Eurux-8x22b-nca.

Rank the Eurux 8x22b Nca Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

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