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Gemma2 9B Neuro Sama by neifuisan

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Gemma2 9B Neuro Sama is an open-source language model by neifuisan. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.15.

  Conversational Dataset:neifuisan/neuro-sama-q...   En   Gemma2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/neifuisan/Gemma2-9b-Neuro-sama 

Gemma2 9B Neuro Sama Benchmarks

LLME Score: 0.14962
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 9B Neuro Sama (neifuisan/Gemma2-9b-Neuro-sama)
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Gemma2 9B Neuro Sama Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (high)
LLM NameGemma2 9B Neuro Sama
Repository 🤗https://huggingface.co/neifuisan/Gemma2-9b-Neuro-sama 
Model Size9b
Required VRAM18.6 GB
Updated2026-04-10
Maintainerneifuisan
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
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than neifuisan/Gemma2-9b-Neuro-sama.

Rank the Gemma2 9B Neuro Sama 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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