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Gemma 2 9B Unsloth Merged by Raviksh

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  4bit   Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-9b-...   En   Endpoints compatible   Gemma2   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Raviksh/gemma-2-9b-unsloth-merged 

Gemma 2 9B Unsloth Merged Benchmarks

LLME Score: 0.2129
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 Unsloth Merged (Raviksh/gemma-2-9b-unsloth-merged)
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Gemma 2 9B Unsloth Merged Parameters and Internals

LLM NameGemma 2 9B Unsloth Merged
Repository 🤗https://huggingface.co/Raviksh/gemma-2-9b-unsloth-merged 
Base Model(s)  Gemma 2 9B Bnb 4bit   unsloth/gemma-2-9b-bnb-4bit
Model Size9b
Required VRAM18.6 GB
Updated2025-06-15
MaintainerRaviksh
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
Quantization Type4bit
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.46.3
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 Raviksh/gemma-2-9b-unsloth-merged.

Rank the Gemma 2 9B Unsloth Merged Capabilities

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Instruction Following and Task Automation  
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