Bilengul Apollo by ahmedsamirtarjama

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow

Bilengul Apollo Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Bilengul Apollo Parameters and Internals

LLM NameBilengul Apollo
Repository ๐Ÿค—https://huggingface.co/ahmedsamirtarjama/bilengul_apollo 
Model Size7b
Required VRAM17.1 GB
Updated2025-06-09
Maintainerahmedsamirtarjama
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16
Bilengul Apollo (ahmedsamirtarjama/bilengul_apollo)

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

Rank the Bilengul Apollo 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 v20241124