What are the hardware requirements for Ko Gemma 2B Lora Lbox Ljp Modified?

Ko Gemma 2B Lora Lbox Ljp Modified requires approximately 10 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ko Gemma 2B Lora Lbox Ljp Modified and how large is it?

Ko Gemma 2B Lora Lbox Ljp Modified is developed by outspark, 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 Ko Gemma 2B Lora Lbox Ljp Modified?

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

Ko Gemma 2B Lora Lbox Ljp Modified by outspark — VRAM 10GB

Name: Ko Gemma 2B Lora Lbox Ljp Modified
Author: outspark

Ko Gemma 2B Lora Lbox Ljp Modified is an open-source language model by outspark. Features: 2b LLM, VRAM: 10GB, LLM Explorer Score: 0.13.

Endpoints compatible Gemma Korean Lbox Legal Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/outspark/ko-gemma-2b-lora-lbox-ljp-modified

Ko Gemma 2B Lora Lbox Ljp Modified Parameters and Internals

Model Type

text generation

Training Details

Data Sources:

lbox/lbox_open, ljp_criminal

Methodology:

LoRA-finetuning by merging `facts` fields with `ruling.text` to enhance legal text understanding

Context Length:

4096

Hardware Used:

two A100 GPUs

LLM Name	Ko Gemma 2B Lora Lbox Ljp Modified
Repository 🤗	https://huggingface.co/outspark/ko-gemma-2b-lora-lbox-ljp-modified
Model Size	2b
Required VRAM	10 GB
Updated	2026-07-25
Maintainer	outspark
Model Files	0.1 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 0.1 GB: 3-of-3
Model Architecture	AutoModelForCausalLM
Is Biased	none
Tokenizer Class	GemmaTokenizer
Padding Token	<eos>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|down_proj\|gate_proj\|up_proj\|o_proj\|v_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Ko Gemma 2B Lora Lbox Ljp Modified capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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Note: green Score (e.g. "73.2") means that the model is better than outspark/ko-gemma-2b-lora-lbox-ljp-modified.