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Gemma 2 9B It Lr3e 5 Gsm8k Lr5e 5 by wvnvwn

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Gemma 2 9B It Lr3e 5 Gsm8k Lr5e 5 is an open-source language model by wvnvwn. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.29.

  Finetuned   Gemma2   Llama   Region:us   Safetensors   Safety   Safety-neurons   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/wvnvwn/gemma-2-9b-it-lr3e-5-gsm8k-lr5e-5 

Gemma 2 9B It Lr3e 5 Gsm8k Lr5e 5 Benchmarks

LLME Score: 0.28567
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 It Lr3e 5 Gsm8k Lr5e 5 (wvnvwn/gemma-2-9b-it-lr3e-5-gsm8k-lr5e-5)
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Gemma 2 9B It Lr3e 5 Gsm8k Lr5e 5 Parameters and Internals

LLM NameGemma 2 9B It Lr3e 5 Gsm8k Lr5e 5
Repository 🤗https://huggingface.co/wvnvwn/gemma-2-9b-it-lr3e-5-gsm8k-lr5e-5 
Model Size9b
Required VRAM18.6 GB
Updated2026-05-01
Maintainerwvnvwn
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   0.0 GB
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.57.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000

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Note: green Score (e.g. "73.2") means that the model is better than wvnvwn/gemma-2-9b-it-lr3e-5-gsm8k-lr5e-5.

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Instruction Following and Task Automation  
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