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Bombus 3x8B V2 by Eurdem

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Model Card on HF 🤗: https://huggingface.co/Eurdem/Bombus_3x8B_v2 

Bombus 3x8B V2 Benchmarks

ARC: 59.98 vs 96.7 (so35)-38%
HellaSwag: 81.93 vs 95.3 (gpt4)-14%
MMLU: 65.45 vs 88.3 (so35)-25.9%
TruthfulQA: 55.79 vs 59 (gpt4)-5.4%
WinoGrande: 74.66 vs 87.5 (gpt4)-14.7%
GSM8K: 67.17 vs 96.4 (so35)-30.3%
LLME Score: 0.1936
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bombus 3x8B V2 (Eurdem/Bombus_3x8B_v2)

Bombus 3x8B V2 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Bombus_3x8B is a Mixture of Experts (MoE) model and uses bitsandbytes for 4-bit loading.
Supported Languages 
en (proficient)
LLM NameBombus 3x8B V2
Repository 🤗https://huggingface.co/Eurdem/Bombus_3x8B_v2 
Model Size19.3b
Required VRAM38.7 GB
Updated2025-02-22
MaintainerEurdem
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   10.0 GB: 3-of-4   8.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128258
Torch Data Typefloat16

Best Alternatives to Bombus 3x8B V2

Best Alternatives
Context / RAM
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Likes
Llama 3 3x8B Multilingual80K / 38.5 GB50

Rank the Bombus 3x8B V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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