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Magnum V4 9B by anthracite-org

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Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v4-9b 

Magnum V4 9B Benchmarks

MMLU Pro: 32.81
GPQA: 12.98
MUSR: 15.65
BBH: 33.27
IFEval: 35.03 vs 88 (so35)-60.2%
MATH Lvl 5: 12.92
LLME Score: 0.36766
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum V4 9B (anthracite-org/magnum-v4-9b)

Magnum V4 9B Parameters and Internals

LLM NameMagnum V4 9B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v4-9b 
Model Size9b
Required VRAM18.6 GB
Updated2024-12-26
Maintaineranthracite-org
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.45.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v4-9b.

Rank the Magnum V4 9B Capabilities

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Instruction Following and Task Automation  
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Release v20241217
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