What are the hardware requirements for Gemma 2 9B It AWQ INT4?

Gemma 2 9B It AWQ INT4 requires approximately 6.2 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 9B It AWQ INT4 and how large is it?

Gemma 2 9B It AWQ INT4 is developed by hugging-quants, 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 It AWQ INT4?

Gemma 2 9B It AWQ INT4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 9B It AWQ INT4 by hugging-quants — VRAM 6.2GB, 8K context

Name: Gemma 2 9B It AWQ INT4
Author: hugging-quants

Gemma 2 9B It AWQ INT4 is an open-source language model by hugging-quants. Features: 9b LLM, VRAM: 6.2GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.22.

4-bit Autoawq Awq Base model:google/gemma-2-9b-i... Base model:quantized:google/ge... Conversational Deploy:azure En Endpoints compatible Gemma2 Google Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hugging-quants/gemma-2-9b-it-AWQ-INT4

Gemma 2 9B It AWQ INT4 Parameters and Internals

LLM Name	Gemma 2 9B It AWQ INT4
Repository 🤗	https://huggingface.co/hugging-quants/gemma-2-9b-it-AWQ-INT4
Base Model(s)	Gemma 2 9B It google/gemma-2-9b-it
Model Size	9b
Required VRAM	6.2 GB
Updated	2026-07-23
Maintainer	hugging-quants
Model Type	gemma2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.45.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 9B It AWQ INT4 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

Best Alternatives to Gemma 2 9B It AWQ INT4

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 2 9B It AWQ 4bit	8K / 8 GB	0	0
GWQ 9B Preview	8K / 18.6 GB	9	3
Gemma 2 9B 8bit	8K / 9.8 GB	178	9
Gemma 2 9B 4bit	8K / 5.2 GB	160	2
Gemma 2 9B It Bnb 4bit	8K / 6.1 GB	13007	32
SASTRI 1 9B	8K / 6.1 GB	7	0
Gemma 2 9B Bnb 4bit	8K / 6.1 GB	10605	31
Gemma 2 9B It Finance	8K / 18.6 GB	5	0
Athena Gemma 2 2B It	8K / 23.8 GB	0	2
Gemma 2 9B It 4bit	8K / 5.2 GB	16960	1

Note: green Score (e.g. "73.2") means that the model is better than hugging-quants/gemma-2-9b-it-AWQ-INT4.