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Zephyr Beta WizardLM 2 Merge 7B by grimjim

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  Merged Model   Autotrain compatible Base model:huggingfaceh4/zephy... Base model:lucyknada/microsoft...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Zephyr Beta WizardLM 2 Merge 7B Benchmarks

ARC: 64.68 vs 96.7 (so35)-33.1%
HellaSwag: 85.34 vs 95.3 (gpt4)-10.5%
MMLU: 63.42 vs 88.3 (so35)-28.2%
TruthfulQA: 58.38 vs 59 (gpt4)-1.1%
WinoGrande: 77.51 vs 87.5 (gpt4)-11.4%
GSM8K: 46.32 vs 96.4 (so35)-52%
LLME Score: 0.22378
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Zephyr Beta WizardLM 2 Merge 7B Parameters and Internals

LLM NameZephyr Beta WizardLM 2 Merge 7B
Repository 🤗https://huggingface.co/grimjim/zephyr-beta-wizardLM-2-merge-7B 
Base Model(s)  Microsoft WizardLM 2 7B   Zephyr 7B Beta   lucyknada/microsoft_WizardLM-2-7B   HuggingFaceH4/zephyr-7b-beta
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-09-19
Maintainergrimjim
Model Typemistral
Model Files  5.9 GB: 1-of-3   5.9 GB: 2-of-3   2.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Zephyr Beta WizardLM 2 Merge 7B (grimjim/zephyr-beta-wizardLM-2-merge-7B)

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Note: green Score (e.g. "73.2") means that the model is better than grimjim/zephyr-beta-wizardLM-2-merge-7B.

Rank the Zephyr Beta WizardLM 2 Merge 7B Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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