What are the hardware requirements for Gemma 2 2B Bnb 4bit?

Gemma 2 2B Bnb 4bit requires approximately 2.2 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 Bnb 4bit and how large is it?

Gemma 2 2B Bnb 4bit is developed by unsloth, 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 Bnb 4bit?

Gemma 2 2B Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 2B Bnb 4bit by unsloth — VRAM 2.2GB, 8K context

Name: Gemma 2 2B Bnb 4bit
Author: unsloth

Gemma 2 2B Bnb 4bit is an open-source language model by unsloth. Features: 2b LLM, VRAM: 2.2GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.17.

4-bit 4bit Base model:google/gemma-2-2b Base model:quantized:google/ge... Bitsandbytes Deploy:azure En Endpoints compatible Gemma Gemma2 Google Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-2-2b-bnb-4bit

Gemma 2 2B Bnb 4bit Parameters and Internals

LLM Name	Gemma 2 2B Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/gemma-2-2b-bnb-4bit
Base Model(s)	Gemma 2 2B google/gemma-2-2b
Model Size	2b
Required VRAM	2.2 GB
Updated	2026-07-05
Maintainer	unsloth
Model Type	gemma2
Model Files	2.2 GB
Supported Languages	en
Quantization Type	4bit
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 Bnb 4bit 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

Quantized Models of the Gemma 2 2B Bnb 4bit

Model	Likes	Downloads	VRAM
Gemma 2 2B Bg	0	19	5 GB
GRMR 2B Instruct	18	32	5 GB
GRMR 2B Instruct Old	12	8	5 GB
Gemma2 2B Evol Lora	1	0	0 GB
Gemma 2 2B Dunsany	0	12	6 GB

Best Alternatives to Gemma 2 2B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...Natural Synthesis Merged 16bit	8K / 5.2 GB	258	0
Gemma 2 2B It Bnb 4bit	8K / 2.2 GB	36818	20
Gemma 2 2B Id Instruct	8K / 5.2 GB	75	0
Gemma 2 2B Id	8K / 5.2 GB	57	0
Gemma 2 2B Id Inst	8K / 5.2 GB	33	0
Athena Gemma 2 2B It Philos	8K / 5.2 GB	20	0
Arnab Ft Gemma2 From Vm St V1	8K / 5.2 GB	7	0
Gemma 2 2B Indian Law	8K / 5.2 GB	94	4
Gemma 2 2B It Pm Ep1	8K / 5.2 GB	10	0
Gemma 2 2bit Quantised	8K / 5.2 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-2-2b-bnb-4bit.