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Magnum V3 9B Customgemma2 by anthracite-org

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Base model:finetune:google/gem...   Base model:google/gemma-2-9b   Gemma2   Region:us   Safetensors   Sharded   Tensorflow

Magnum V3 9B Customgemma2 Benchmarks

LLME Score: 0.29307
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Magnum V3 9B Customgemma2 Parameters and Internals

LLM NameMagnum V3 9B Customgemma2
Repository 🤗https://huggingface.co/anthracite-org/magnum-v3-9b-customgemma2 
Base Model(s)  Gemma 2 9B   google/gemma-2-9b
Model Size9b
Required VRAM18.6 GB
Updated2024-10-18
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   0.0 GB
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.44.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Magnum V3 9B Customgemma2 (anthracite-org/magnum-v3-9b-customgemma2)

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Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v3-9b-customgemma2.

Rank the Magnum V3 9B Customgemma2 Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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