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Magnum V3 34B by anthracite-org

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Magnum V3 34B Benchmarks

MMLU Pro: 41.69
GPQA: 14.77
MUSR: 6.57
BBH: 44.33
IFEval: 51.15 vs 88 (so35)-41.9%
MATH Lvl 5: 19.49
LLME Score: 0.38248
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Magnum V3 34B Parameters and Internals

LLM NameMagnum V3 34B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v3-34b 
Model Size34b
Required VRAM69.2 GB
Updated2024-11-21
Maintaineranthracite-org
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Magnum V3 34B (anthracite-org/magnum-v3-34b)

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Rank the Magnum V3 34B 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 v20241110
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