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Magnum V2 12B by anthracite-org

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Magnum V2 12B Benchmarks

LLME Score: 0.30776
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Magnum V2 12B Parameters and Internals

LLM NameMagnum V2 12B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v2-12b 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Model Size12b
Required VRAM24.5 GB
Updated2024-10-16
Maintaineranthracite-org
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesen fr de es it pt ru zh ja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
Magnum V2 12B (anthracite-org/magnum-v2-12b)

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Lumimaid V0.2 12B1000K / 24.5 GB80576
Rocinante 12B V11000K / 24.5 GB15624
Mini Magnum 12B V1.11000K / 24.5 GB11070
Tess 3 Mistral Nemo 12B1000K / 24.5 GB326012
Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v2-12b.

Rank the Magnum V2 12B 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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Release v2024072803
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