Who developed Gemma 2 9B Turkish Lora Continue Pre Trained and how large is it?

Gemma 2 9B Turkish Lora Continue Pre Trained is developed by emre, a model with 9b 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 2 9B Turkish Lora Continue Pre Trained?

Gemma 2 9B Turkish Lora Continue Pre Trained is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 9B Turkish Lora Continue Pre Trained by emre

Name: Gemma 2 9B Turkish Lora Continue Pre Trained
Author: emre

Gemma 2 9B Turkish Lora Continue Pre Trained is an open-source language model by emre. Features: 9b LLM, License: gemma, LLM Explorer Score: 0.17.

Adapter Base model:adapter:google/gemm... Base model:google/gemma-2-9b Continue pre train Dataset:alaeddin/wikipedia-tur... Doi:10.57967/hf/5007 Finetuned Lora Peft Region:us Safetensors Tr

Model Card on HF 🤗: https://huggingface.co/emre/gemma-2-9b-Turkish-Lora-Continue-Pre-Trained

Gemma 2 9B Turkish Lora Continue Pre Trained Parameters and Internals

LLM Name	Gemma 2 9B Turkish Lora Continue Pre Trained
Repository 🤗	https://huggingface.co/emre/gemma-2-9b-Turkish-Lora-Continue-Pre-Trained
Base Model(s)	Gemma 2 9B google/gemma-2-9b
Model Size	9b
Required VRAM	0 GB
Updated	2026-07-29
Maintainer	emre
Model Files	0.0 GB 0.0 GB
Supported Languages	tr
Model Architecture	Adapter
License	gemma
Is Biased	none
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.1
R Param	8

Rank the Gemma 2 9B Turkish Lora Continue Pre Trained 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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