Excalibur 7B by InferenceIllusionist

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  Merged Model   Autotrain compatible Base model:bardsai/jaskier-7b-...   Base model:ibm/merlinite-7b Base model:inferenceillusionis...   Base model:mlabonne/monarch-7b Base model:sanjiwatsuki/kunoic...   Endpoints compatible   License:apache-2.0   Mistral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Excalibur 7B Benchmarks

Rank the Excalibur 7B 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  
Excalibur 7B (InferenceIllusionist/Excalibur-7b)

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Note: green Score (e.g. "73.2") means that the model is better than InferenceIllusionist/Excalibur-7b.

Excalibur 7B Parameters and Internals

LLM NameExcalibur 7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Merlinite 7B   Magic Dolphin 7B   Kunoichi DPO V2 7B   Monarch 7B   Jaskier 7B DPO V6.1   ibm/merlinite-7b   InferenceIllusionist/Magic-Dolphin-7b   SanjiWatsuki/Kunoichi-DPO-v2-7B   mlabonne/Monarch-7B   bardsai/jaskier-7b-dpo-v6.1
Merged ModelYes
Model Size7.2b
Required VRAM14.4 GB
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801