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MoE 3x7b QA Code Inst by nextai-team

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MoE 3x7b QA Code Inst Benchmarks

ARC: 64.25 vs 96.7 (so35)-33.6%
HellaSwag: 84.6 vs 95.3 (gpt4)-11.2%
MMLU: 62.15 vs 88.3 (so35)-29.6%
TruthfulQA: 63.15 vs 59 (gpt4)7%
WinoGrande: 77.43 vs 87.5 (gpt4)-11.5%
GSM8K: 48.6 vs 96.4 (so35)-49.6%
LLME Score: 0.20013
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MoE 3x7b QA Code Inst Parameters and Internals

LLM NameMoE 3x7b QA Code Inst
Repository 🤗https://huggingface.co/nextai-team/Moe-3x7b-QA-Code-Inst 
Model Size18.5b
Required VRAM37 GB
Updated2024-10-18
Maintainernextai-team
Model Typemixtral
Model Files  4.9 GB: 1-of-8   4.9 GB: 2-of-8   4.9 GB: 3-of-8   5.0 GB: 4-of-8   4.9 GB: 5-of-8   4.9 GB: 6-of-8   5.0 GB: 7-of-8   2.5 GB: 8-of-8
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
MoE 3x7b QA Code Inst (nextai-team/Moe-3x7b-QA-Code-Inst)

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Note: green Score (e.g. "73.2") means that the model is better than nextai-team/Moe-3x7b-QA-Code-Inst.

Rank the MoE 3x7b QA Code Inst Capabilities

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