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Nous Hermes 2 SUS Chat 34B Slerp by Weyaxi

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Nous Hermes 2 SUS Chat 34B Slerp is an open-source language model by Weyaxi. Features: 34b LLM, VRAM: 68.9GB, Context: 4K, License: other, HF Score: 74.1, LLM Explorer Score: 0.16, Arc: 66.7, HellaSwag: 85, MMLU: 77, TruthfulQA: 59.2, WinoGrande: 83.6, GSM8K: 72.9.

  Endpoints compatible   Llama   Merge   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp 

Nous Hermes 2 SUS Chat 34B Slerp Benchmarks

ARC: 66.72 vs 96.7 (so35)-31%
HellaSwag: 84.97 vs 95.3 (gpt4)-10.8%
MMLU: 77 vs 88.3 (so35)-12.8%
TruthfulQA: 59.23 vs 59 (gpt4)0.4%
WinoGrande: 83.58 vs 87.5 (gpt4)-4.5%
GSM8K: 72.86 vs 96.4 (so35)-24.4%
LLME Score: 0.15506
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 SUS Chat 34B Slerp (Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp)
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Nous Hermes 2 SUS Chat 34B Slerp Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model was merged using mergekit with specified slicing and merging method as detailed in the YAML config.
LLM NameNous Hermes 2 SUS Chat 34B Slerp
Repository 🤗https://huggingface.co/Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp 
Model Size34b
Required VRAM68.9 GB
Updated2026-03-30
MaintainerWeyaxi
Model Typellama
Model Files  9.8 GB: 1-of-8   9.8 GB: 2-of-8   9.8 GB: 3-of-8   9.8 GB: 4-of-8   9.8 GB: 5-of-8   9.8 GB: 6-of-8   9.8 GB: 7-of-8   0.3 GB: 8-of-8
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typebfloat16

Quantized Models of the Nous Hermes 2 SUS Chat 34B Slerp

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Downloads
VRAM
...rmes 2 SUS Chat 34B Slerp GGUF519914 GB
...rmes 2 SUS Chat 34B Slerp GPTQ2318 GB
...ermes 2 SUS Chat 34B Slerp AWQ1219 GB

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Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp.

Rank the Nous Hermes 2 SUS Chat 34B Slerp 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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