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Gemma 2 9B JEE Socratic Final by r-karra

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Gemma 2 9B JEE Socratic Final is an open-source language model by r-karra. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:r-karra/ge... Base model:r-karra/gemma-2-9b-...   Conversational   En   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/r-karra/Gemma-2-9B-JEE-Socratic-Final 

Gemma 2 9B JEE Socratic Final Benchmarks

LLME Score: 0.32156
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 9B JEE Socratic Final (r-karra/Gemma-2-9B-JEE-Socratic-Final)
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Gemma 2 9B JEE Socratic Final Parameters and Internals

LLM NameGemma 2 9B JEE Socratic Final
Repository 🤗https://huggingface.co/r-karra/Gemma-2-9B-JEE-Socratic-Final 
Base Model(s)  Gemma 2 9B JEE Socratic Final   r-karra/Gemma-2-9B-JEE-Socratic-Final
Model Size9b
Required VRAM18.6 GB
Updated2026-07-06
Maintainerr-karra
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
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 r-karra/Gemma-2-9B-JEE-Socratic-Final.

Rank the Gemma 2 9B JEE Socratic Final 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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