What are the hardware requirements for GemSUra Edu?

GemSUra Edu requires approximately 5 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 GemSUra Edu and how large is it?

GemSUra Edu is developed by IAmSkyDra, 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 GemSUra Edu?

GemSUra Edu is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GemSUra Edu by IAmSkyDra — VRAM 5GB, 8K context

Name: GemSUra Edu
Author: IAmSkyDra

GemSUra Edu is an open-source language model by IAmSkyDra. Features: 2b LLM, VRAM: 5GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

Dataset:iamskydra/hcmut faq Education Endpoints compatible Gemma Gguf Llama-factory Quantized Region:us Safetensors Sharded Tensorflow Unsloth Vi

Model Card on HF 🤗: https://huggingface.co/IAmSkyDra/GemSUra-edu

GemSUra Edu Parameters and Internals

LLM Name	GemSUra Edu
Repository 🤗	https://huggingface.co/IAmSkyDra/GemSUra-edu
Model Size	2b
Required VRAM	5 GB
Updated	2026-07-08
Maintainer	IAmSkyDra
Model Type	gemma
Model Files	1.9 GB: 1-of-3 2.0 GB: 2-of-3 1.1 GB: 3-of-3 5.0 GB 2.7 GB
Supported Languages	vi
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.4
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the GemSUra Edu 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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Gemma 2B It	8K / 5.1 GB	70066	940
Gemma 2B	8K / 5.1 GB	321518	1190
Gemma 2B It	8K / 1.5 GB	26	0
Gemma 2B It	8K / 5.1 GB	27	1
Gemma 2B T	8K / 5.1 GB	28	0
Gemma 2B It Code	8K / 5.1 GB	20	0
Gemma 2B It Q	8K / 1.6 GB	27	1
Gemma Help Tiny Sft	8K / 5.1 GB	21	1
Gemma 2B It Q4 K M GGUF	8K / 1.6 GB	1436	6
...mma 2b Sauerkraut Gguf Chunked	8K / 0.1 GB	36	0

Note: green Score (e.g. "73.2") means that the model is better than IAmSkyDra/GemSUra-edu.