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GEMMA 2B A90 by jebish7

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GEMMA 2B A90 is an open-source language model by jebish7. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.17.

  Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-2b-...   Conversational   En   Endpoints compatible   Gemma2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/jebish7/GEMMA-2B-A90 

GEMMA 2B A90 Benchmarks

LLME Score: 0.1715
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GEMMA 2B A90 (jebish7/GEMMA-2B-A90)
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GEMMA 2B A90 Parameters and Internals

LLM NameGEMMA 2B A90
Repository 🤗https://huggingface.co/jebish7/GEMMA-2B-A90 
Base Model(s)  Gemma 2 2B It   unsloth/gemma-2-2b-it
Model Size2b
Required VRAM5.2 GB
Updated2025-09-23
Maintainerjebish7
Model Typegemma2
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2
Supported Languagesen
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.47.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jebish7/GEMMA-2B-A90.

Rank the GEMMA 2B A90 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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