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Oblivionsend by mehmetkeremturkcan

 »  All LLMs  »  mehmetkeremturkcan  »  Oblivionsend   URL Share it on

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  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-9b-i...   Conversational   Creative-writing Dataset:sam-paech/gutenberg3-g... Dataset:sam-paech/gutenbergs 1...   En   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mehmetkeremturkcan/oblivionsend 

Oblivionsend Benchmarks

LLME Score: 0.22494
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Oblivionsend (mehmetkeremturkcan/oblivionsend)

Oblivionsend Parameters and Internals

LLM NameOblivionsend
Repository 🤗https://huggingface.co/mehmetkeremturkcan/oblivionsend 
Base Model(s)  Gemma 2 9B It   google/gemma-2-9b-it
Model Size9b
Required VRAM18.6 GB
Updated2025-05-16
Maintainermehmetkeremturkcan
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.46.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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MTM Merge Gemma 2 9B8K / 20.4 GB242
Note: green Score (e.g. "73.2") means that the model is better than mehmetkeremturkcan/oblivionsend.

Rank the Oblivionsend Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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