Bagel Hermes 2x34B by Weyaxi

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Bagel Hermes 2x34B Benchmarks

Bagel Hermes 2x34B (Weyaxi/Bagel-Hermes-2x34B)

Bagel Hermes 2x34B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Quantized versions available from TheBloke: GPTQ, GGUF, AWQ.
Training Details 
Methodology:
Expert models with gate_mode.
Model Architecture:
Mixture of Experts (MoE)
Input Output 
Performance Tips:
Utilize ChatML and other provided prompt templates for better results.
LLM NameBagel Hermes 2x34B
Repository ๐Ÿค—https://huggingface.co/Weyaxi/Bagel-Hermes-2x34B 
Model Size60.8b
Required VRAM121.9 GB
Updated2025-02-05
MaintainerWeyaxi
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 Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size64000
Torch Data Typebfloat16

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

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227