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Gemma 2B T by VuTong

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Gemma 2B T is an open-source language model by VuTong. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.16, Arc: 43.9, HellaSwag: 62.7, MMLU: 37.7, GSM8K: 5.4.

  Endpoints compatible   Gemma   Gguf   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/VuTong/gemma-2b-t 

Gemma 2B T Benchmarks

ARC: 43.86 vs 96.7 (so35)-54.6%
HellaSwag: 62.7 vs 95.3 (gpt4)-34.2%
MMLU: 37.66 vs 88.3 (so35)-57.3%
GSM8K: 5.38 vs 96.4 (so35)-94.4%
LLME Score: 0.15748
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B T (VuTong/gemma-2b-t)
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Gemma 2B T Parameters and Internals

LLM NameGemma 2B T
Repository 🤗https://huggingface.co/VuTong/gemma-2b-t 
Base Model(s)  Gemma 2B Chat   Menouar/gemma-2b-chat
Model Size2b
Required VRAM5.1 GB
Updated2026-05-23
MaintainerVuTong
Model Typegemma
Model Files  1.5 GB   5.0 GB: 1-of-2   0.1 GB: 2-of-2
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Gemma 2B It Q4 K M GGUF8K / 1.6 GB57495
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...mma 2b Sauerkraut Gguf Chunked8K / 0.1 GB390
Note: green Score (e.g. "73.2") means that the model is better than VuTong/gemma-2b-t.

Rank the Gemma 2B T Capabilities

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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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