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Mera Mix 4x7B by meraGPT

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Mera Mix 4x7B Benchmarks

MMLU Pro: 19.42
GPQA: 7.27
MUSR: 9.27
BBH: 17.49
IFEval: 48.32 vs 88 (so35)-45.1%
ARC: 72.95 vs 96.7 (so35)-24.6%
HellaSwag: 89.17 vs 95.3 (gpt4)-6.4%
MMLU: 64.44 vs 88.3 (so35)-27%
TruthfulQA: 77.17 vs 59 (gpt4)30.8%
WinoGrande: 85.64 vs 87.5 (gpt4)-2.1%
GSM8K: 66.11 vs 96.4 (so35)-31.4%
MATH Lvl 5: 4.91
LLME Score: 0.32838
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mera Mix 4x7B Parameters and Internals

LLM NameMera Mix 4x7B
Repository 🤗https://huggingface.co/meraGPT/mera-mix-4x7B 
Model Size24.2b
Required VRAM48.3 GB
Updated2024-09-07
MaintainermeraGPT
Model Typemixtral
Model Files  9.9 GB: 1-of-5   9.9 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.5 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
Mera Mix 4x7B (meraGPT/mera-mix-4x7B)

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Note: green Score (e.g. "73.2") means that the model is better than meraGPT/mera-mix-4x7B.

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