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Smegmma Deluxe 9B V1 by BeaverLegacy

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Gemma2   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/BeaverLegacy/Smegmma-Deluxe-9B-v1 

Smegmma Deluxe 9B V1 Benchmarks

LLME Score: 0.20997
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smegmma Deluxe 9B V1 (BeaverLegacy/Smegmma-Deluxe-9B-v1)

Smegmma Deluxe 9B V1 Parameters and Internals

LLM NameSmegmma Deluxe 9B V1
Repository 🤗https://huggingface.co/BeaverLegacy/Smegmma-Deluxe-9B-v1 
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2025-01-24
MaintainerBeaverLegacy
Model Typegemma2
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   5.0 GB: 4-of-5   0.5 GB: 5-of-5
Model ArchitectureGemma2ForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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MT Merge4 Gemma 2 9B8K / 20.4 GB1601
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...erge 02012025163610 Gemma 2 9B8K / 20.4 GB661
...erge 02012025163610 Gemma 2 9B8K / 20.4 GB561
Note: green Score (e.g. "73.2") means that the model is better than BeaverLegacy/Smegmma-Deluxe-9B-v1.

Rank the Smegmma Deluxe 9B V1 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 v20241227
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