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Gemma Mling 7B by beomi

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Gemma Mling 7B Benchmarks

MMLU Pro: 18.14
MUSR: 6.85
BBH: 17.63
IFEval: 20.29 vs 88 (so35)-76.9%
MATH Lvl 5: 4.15
LLME Score: 0.28404
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma Mling 7B Parameters and Internals

LLM NameGemma Mling 7B
Repository 🤗https://huggingface.co/beomi/gemma-mling-7b 
Model Size7b
Required VRAM17.8 GB
Updated2024-09-16
Maintainerbeomi
Model Typegemma
Model Files  1.6 GB: 1-of-18   1.0 GB: 2-of-18   1.0 GB: 3-of-18   1.0 GB: 4-of-18   0.9 GB: 5-of-18   1.0 GB: 6-of-18   1.0 GB: 7-of-18   0.9 GB: 8-of-18   1.0 GB: 9-of-18   1.0 GB: 10-of-18   0.9 GB: 11-of-18   1.0 GB: 12-of-18   1.0 GB: 13-of-18   0.9 GB: 14-of-18   1.0 GB: 15-of-18   1.0 GB: 16-of-18   0.9 GB: 17-of-18   0.7 GB: 18-of-18
Supported Languagesko en zh ja
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma Mling 7B (beomi/gemma-mling-7b)

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Note: green Score (e.g. "73.2") means that the model is better than beomi/gemma-mling-7b.

Rank the Gemma Mling 7B Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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