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Einstein V5 V0.2 7B by Weyaxi

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Einstein V5 V0.2 7B Benchmarks

ARC: 60.92-36.7%
HellaSwag: 80.99-15%
MMLU: 61.02-29.5%
TruthfulQA: 52.59-10.9%
WinoGrande: 78.69-10.1%
GSM8K: 59.67-35.1%
nn.n% — How the model compares to the GPT-4.

Einstein V5 V0.2 7B Parameters and Internals

LLM NameEinstein V5 V0.2 7B
RepositoryOpen on 🤗 
Base Model(s)  alpindale/Mistral-7B-v0.2-hf   alpindale/Mistral-7B-v0.2-hf
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
MaintainerWeyaxi
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16
Einstein V5 V0.2 7B (Weyaxi/Einstein-v5-v0.2-7B)

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Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Einstein-v5-v0.2-7B.

Rank the Einstein V5 V0.2 7B Capabilities

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Instruction Following and Task Automation  
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Release v2024072501
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