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BurningBruce 003 by ConvexAI

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  1569   
  Arxiv:2101.03961   Autotrain compatible   Conversational   En   Endpoints compatible   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ConvexAI/BurningBruce-003 

BurningBruce 003 Benchmarks

ARC: 71.25 vs 96.7 (so35)-26.3%
HellaSwag: 88.22 vs 95.3 (gpt4)-7.4%
MMLU: 64.48 vs 88.3 (so35)-27%
TruthfulQA: 66.39 vs 59 (gpt4)12.5%
WinoGrande: 83.19 vs 87.5 (gpt4)-4.9%
GSM8K: 72.25 vs 96.4 (so35)-25.1%
LLME Score: 0.15589
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BurningBruce 003 (ConvexAI/BurningBruce-003)
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BurningBruce 003 Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Additional Notes 
This model is a mixture of experts (MoE) composed of multiple models and created using mergekit.
Supported Languages 
en (fluent)
LLM NameBurningBruce 003
Repository 🤗https://huggingface.co/ConvexAI/BurningBruce-003 
Model Size7b
Required VRAM48.3 GB
Updated2025-10-01
MaintainerConvexAI
Model Typemixtral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.4 GB: 5-of-5
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ConvexAI/BurningBruce-003.

Rank the BurningBruce 003 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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