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Gemma 2B Tr by Metin

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Gemma 2B Tr is an open-source language model by Metin. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: cc-by-nc-4.0, LLM Explorer Score: 0.11.

  Endpoints compatible   Gemma   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Tr
Model Card on HF 🤗: https://huggingface.co/Metin/gemma-2b-tr 

Gemma 2B Tr Benchmarks

LLME Score: 0.11455
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B Tr (Metin/gemma-2b-tr)
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Gemma 2B Tr Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Turkish text generation
Limitations:
Not suitable for instruction-following or question-answering tasks.
Supported Languages 
Turkish (Proficient), English (Basic)
Training Details 
Data Volume:
190 Million Token or 100K Document
Context Length:
1024
LLM NameGemma 2B Tr
Repository 🤗https://huggingface.co/Metin/gemma-2b-tr 
Model Size2b
Required VRAM5.1 GB
Updated2026-07-08
MaintainerMetin
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2   5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagestr
Model ArchitectureGemmaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the Gemma 2B Tr

Model
Likes
Downloads
VRAM
Gemma 2B It931686615 GB
Gemma 2B It0271 GB
Gemma 2B It1475 GB

Best Alternatives to Gemma 2B Tr

Best Alternatives
Context / RAM
Downloads
Likes
Gemma 1.1 2B It8K / 5.1 GB195389173
Gemma 1.1 2B It8K / 5 GB433
Gemma 2B It Peru Legal Es V28K / 5.1 GB91
Codegemma 2B8K / 5.1 GB33091101
Bge Reranker V2 Gemma8K / 10 GB78362385
Gita SastraGPT V18K / 5.1 GB51
Caca Tinny 2B V38K / 5.1 GB41
Pandas Tutor Gemma 2B8K / 5.1 GB91
Gemma Qlora Customer Support8K / 5.1 GB50
... 2B Finetuned Sft Navarasa 2.08K / 10 GB18527
Note: green Score (e.g. "73.2") means that the model is better than Metin/gemma-2b-tr.

Rank the Gemma 2B Tr 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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