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MultiverseEx26 7B Slerp by allknowingroger

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  Merged Model   Autotrain compatible Base model:mtsair/multi verse ... Base model:yam-peleg/experimen...   Endpoints compatible   Mistral   Mtsair/multi verse model   Region:us   Safetensors   Sharded   Tensorflow   Yam-peleg/experiment26-7b

MultiverseEx26 7B Slerp Benchmarks

ARC: 72.95-24.2%
HellaSwag: 89.17-6.4%
MMLU: 64.36-25.6%
TruthfulQA: 78.1232.4%
WinoGrande: 85.16-2.7%
GSM8K: 71.04-22.8%
nn.n% — How the model compares to the GPT-4.

MultiverseEx26 7B Slerp Parameters and Internals

LLM NameMultiverseEx26 7B Slerp
RepositoryOpen on 🤗 
Base Model(s)  Experiment26 7B   Multi Verse Model   yam-peleg/Experiment26-7B   MTSAIR/multi_verse_model
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
Maintainerallknowingroger
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
MultiverseEx26 7B Slerp (allknowingroger/MultiverseEx26-7B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/MultiverseEx26-7B-slerp.

Rank the MultiverseEx26 7B Slerp Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v2024072501
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