What are the hardware requirements for Gemma 2B Tr?

Gemma 2B Tr requires approximately 5.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2B Tr and how large is it?

Gemma 2B Tr is developed by Metin, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 2B Tr?

Gemma 2B Tr is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2B Tr by Metin — VRAM 5.1GB, 8K context

Name: Gemma 2B Tr
Author: Metin

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: 0.12.

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: 0.11796

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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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 Name	Gemma 2B Tr
Repository 🤗	https://huggingface.co/Metin/gemma-2b-tr
Model Size	2b
Required VRAM	5.1 GB
Updated	2026-05-22
Maintainer	Metin
Model Type	gemma
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 Languages	tr
Model Architecture	GemmaForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.39.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Quantized Models of the Gemma 2B Tr

Model	Likes	Downloads	VRAM
Gemma 2B It	877	81913	5 GB
Gemma 2B It	0	17	1 GB
Gemma 2B It	1	26	5 GB

Best Alternatives to Gemma 2B Tr

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 1.1 2B It	8K / 5.1 GB	80705	172
Gemma 1.1 2B It	8K / 5 GB	72	3
Codegemma 2B	8K / 5.1 GB	32439	98
Gita SastraGPT V1	8K / 5.1 GB	19	1
Caca Tinny 2B V3	8K / 5.1 GB	4	1
Pandas Tutor Gemma 2B	8K / 5.1 GB	8	1
Gemma Qlora Customer Support	8K / 5.1 GB	23	0
... 2B Finetuned Sft Navarasa 2.0	8K / 10 GB	1006	26
Octopus V2	8K / 5.1 GB	1387	885
Bge Reranker V2 Gemma	8K / 10 GB	25031	84

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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Release v20260328a

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Gemma 2B Tr by Metin