Bepis 9B by ChaoticNeutrals

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Bepis 9B Benchmarks

Bepis 9B (ChaoticNeutrals/Bepis_9B)

Bepis 9B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Bepis_9B is a new 9B model from jeiku, proficient in markdown, with a soulful touch. Its unique merge consists of a balance between three base models: Prodigy_7B, Prima-LelantaclesV6-7b, and Thespis-CurtainCall-7b-v0.2.1.
Training Details 
Data Sources:
AI2 Reasoning Challenge, HellaSwag, MMLU, TruthfulQA, Winogrande, GSM8k
Methodology:
Slices method with sources and layer ranges for merging models.
Model Architecture:
Merge of three models using slices and passthrough methodology.
LLM NameBepis 9B
Repository ๐Ÿค—https://huggingface.co/ChaoticNeutrals/Bepis_9B 
Merged ModelYes
Model Size9b
Required VRAM18 GB
Updated2025-02-22
MaintainerChaoticNeutrals
Model Typemistral
Model Files  10.0 GB: 1-of-2   8.0 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/Bepis_9B.

Rank the Bepis 9B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227