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Gemma 2 9B MOTH by sequelbox

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Gemma 2 9B MOTH is an open-source language model by sequelbox. Features: 9b LLM, VRAM: 37.1GB, Context: 8K, License: gemma, Instruction-Based, LLM Explorer Score: 0.17.

  9b Base model:finetune:google/gem... Base model:google/gemma-2-9b-i...   Chat   Conversational   Dataset:sequelbox/supernova   En   Gemma   Gemma-2   Gemma-2-9b-it   Gemma-2-it   Gemma2   General   Instruct   Model-index   Moth   Region:us   Safetensors   Sharded   Supernova   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sequelbox/gemma-2-9B-MOTH 

Gemma 2 9B MOTH Benchmarks

MMLU Pro: 1.56
GPQA: 1.34
MUSR: 0.62
BBH: 3.21
IFEval: 20.59 vs 88 (so35)-76.6%
MATH Lvl 5: 1.06
LLME Score: 0.16561
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 MOTH (sequelbox/gemma-2-9B-MOTH)
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Gemma 2 9B MOTH Parameters and Internals

LLM NameGemma 2 9B MOTH
Repository 🤗https://huggingface.co/sequelbox/gemma-2-9B-MOTH 
Base Model(s)  Gemma 2 9B It   google/gemma-2-9b-it
Model Size9b
Required VRAM37.1 GB
Updated2026-04-06
Maintainersequelbox
Model Typegemma2
Instruction-BasedYes
Model Files  4.8 GB: 1-of-8   5.0 GB: 2-of-8   5.0 GB: 3-of-8   4.9 GB: 4-of-8   5.0 GB: 5-of-8   5.0 GB: 6-of-8   5.0 GB: 7-of-8   2.4 GB: 8-of-8
Supported Languagesen
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than sequelbox/gemma-2-9B-MOTH.

Rank the Gemma 2 9B MOTH 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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