What are the hardware requirements for Gemma 2 2B Opus Instruct?

Gemma 2 2B Opus Instruct requires approximately 5.2 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 2 2B Opus Instruct and how large is it?

Gemma 2 2B Opus Instruct is developed by SaisExperiments, 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 2 2B Opus Instruct?

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

Gemma 2 2B Opus Instruct by SaisExperiments — VRAM 5.2GB, 8K context

Name: Gemma 2 2B Opus Instruct
Author: SaisExperiments

Gemma 2 2B Opus Instruct is an open-source language model by SaisExperiments. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: gemma, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:google/gem... Base model:google/gemma-2-2b-i... Dataset:kalomaze/opus instruct... Gemma2 Instruct Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/SaisExperiments/Gemma-2-2B-Opus-Instruct

Gemma 2 2B Opus Instruct Parameters and Internals

Additional Notes

Image associated with the model should be added to the repository.

Training Details

Data Sources:

Opus_Instruct_25K

Data Volume:

39.5M tokens

Methodology:

LoRA (Low-rank Adaptation)

Context Length:

1024

Training Time:

9 hours

LLM Name	Gemma 2 2B Opus Instruct
Repository 🤗	https://huggingface.co/SaisExperiments/Gemma-2-2B-Opus-Instruct
Base Model(s)	Gemma 2 2B It google/gemma-2-2b-it
Model Size	2b
Required VRAM	5.2 GB
Updated	2026-07-23
Maintainer	SaisExperiments
Model Type	gemma2
Instruction-Based	Yes
Model Files	5.2 GB
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 2B Opus Instruct 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

Best Alternatives to Gemma 2 2B Opus Instruct

Best Alternatives	Context / RAM	Downloads	Likes
SILMA Kashif 2B Instruct V1.0	12K / 5.2 GB	992	24
Gemma2b Nirf Lookup 2025	8K / 5.2 GB	8	0
Gemma 2 2B It Coding	8K / 5.2 GB	339	0
Gemma 2 2b Coding	8K / 5.2 GB	106	0
Gemma 2 2b Instruction	8K / 5.2 GB	67	0
Gemma 2 2B It Instruction	8K / 5.2 GB	40	0
Gemma 2 2B Neogenesis Ita	8K / 5.2 GB	1431	6
GaMS 2B Instruct	8K / 5.2 GB	105	2
Code Trans Gemma 2 2B Sft	8K / 5.2 GB	7	0
Gemma 2 2B Instruct	8K / 5.2 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than SaisExperiments/Gemma-2-2B-Opus-Instruct.