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Nous Hermes 2 MoE 2x34B by ibndias

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Nous Hermes 2 MoE 2x34B is an open-source language model by ibndias. Features: 60.8b LLM, VRAM: 121.9GB, Context: 4K, License: apache-2.0, MoE, HF Score: 73.3, LLM Explorer Score: 0.13, Arc: 66.6, HellaSwag: 85.7, MMLU: 76.5, TruthfulQA: 58.1, WinoGrande: 83.4, GSM8K: 69.5.

  Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ibndias/Nous-Hermes-2-MoE-2x34B 

Nous Hermes 2 MoE 2x34B Benchmarks

ARC: 66.64 vs 96.7 (so35)-31.1%
HellaSwag: 85.73 vs 95.3 (gpt4)-10%
MMLU: 76.49 vs 88.3 (so35)-13.4%
TruthfulQA: 58.08 vs 59 (gpt4)-1.6%
WinoGrande: 83.35 vs 87.5 (gpt4)-4.7%
GSM8K: 69.52 vs 96.4 (so35)-27.9%
LLME Score: 0.13057
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nous Hermes 2 MoE 2x34B (ibndias/Nous-Hermes-2-MoE-2x34B)
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Nous Hermes 2 MoE 2x34B Parameters and Internals

Model Type 
text generation
Additional Notes 
This is an experimental model to make an MoE (Mixture of Expert) of Nous Hermes 2 Yi 34B.
Training Details 
Methodology:
Mixture of Expert
LLM NameNous Hermes 2 MoE 2x34B
Repository 🤗https://huggingface.co/ibndias/Nous-Hermes-2-MoE-2x34B 
Model Size60.8b
Required VRAM121.9 GB
Updated2026-03-29
Maintaineribndias
Model Typemixtral
Model Files  9.8 GB: 1-of-13   10.0 GB: 2-of-13   10.0 GB: 3-of-13   10.0 GB: 4-of-13   10.0 GB: 5-of-13   10.0 GB: 6-of-13   10.0 GB: 7-of-13   10.0 GB: 8-of-13   10.0 GB: 9-of-13   10.0 GB: 10-of-13   10.0 GB: 11-of-13   10.0 GB: 12-of-13   2.1 GB: 13-of-13
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<|startoftext|>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ibndias/Nous-Hermes-2-MoE-2x34B.

Rank the Nous Hermes 2 MoE 2x34B Capabilities

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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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