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Magnum V4 9B by anthracite-org

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Magnum V4 9B is an open-source language model by anthracite-org. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, Instruction-Based, LLM Explorer Score: 0.23.

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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: 13.07
LLME Score: 0.22855
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)
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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
Updated2026-04-27
Maintaineranthracite-org
Model Typegemma2
Instruction-BasedYes
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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Gigantes V3 Gemma2 9B It8K / 18.6 GB130
Gigantes V1 Gemma2 9B It8K / 18.6 GB62
SILMA 9B Instruct V1.08K / 18.6 GB146585
Odin 9B8K / 18.6 GB525
...B IT Simpo Infinity Preference8K / 18.6 GB2317
GaMS 9B Instruct8K / 18.6 GB22532
Turkish Gemma 9B V0.18K / 18.6 GB26939
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

🆘 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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