What are the hardware requirements for Gemma 2 9B Instruct 4Bit GPTQ?

Gemma 2 9B Instruct 4Bit GPTQ 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 Instruct 4Bit GPTQ and how large is it?

Gemma 2 9B Instruct 4Bit GPTQ is developed by Granther, 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 Instruct 4Bit GPTQ?

Gemma 2 9B Instruct 4Bit GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 9B Instruct 4Bit GPTQ by Granther — VRAM 6.2GB, 8K context

Name: Gemma 2 9B Instruct 4Bit GPTQ
Rating: 4 (1 reviews)
Author: Granther

Gemma 2 9B Instruct 4Bit GPTQ is an open-source language model by Granther. Features: 9b LLM, VRAM: 6.2GB, Context: 8K, License: gemma, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4-bit 4bit Base model:google/gemma-2-9b-i... Base model:quantized:google/ge... Conversational Gemma2 Gptq Instruct Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Granther/Gemma-2-9B-Instruct-4Bit-GPTQ

Gemma 2 9B Instruct 4Bit GPTQ Parameters and Internals

Model Type

text-generation

Additional Notes

This model was quantized with the Auto-GPTQ library.

LLM Name	Gemma 2 9B Instruct 4Bit GPTQ
Repository 🤗	https://huggingface.co/Granther/Gemma-2-9B-Instruct-4Bit-GPTQ
Model Name	Gemma-2-9B-Instruct-4Bit-GPTQ
Base Model(s)	Gemma 2 9B It google/gemma-2-9b-it
Model Size	9b
Required VRAM	6.2 GB
Updated	2026-04-22
Maintainer	Granther
Model Type	gemma2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Gemma 2 9B Instruct 4Bit GPTQ 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 9B Instruct 4Bit GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...2 9B Cpt Sahabatai V1 Instruct	8K / 18.6 GB	1369	47
Gigantes V2 Gemma2 9B It	8K / 18.6 GB	5	1
Gemma Evo 10B	8K / 20.4 GB	26	5
Gigantes V3 Gemma2 9B It	8K / 18.6 GB	6	0
Gigantes V1 Gemma2 9B It	8K / 18.6 GB	10	2
SILMA 9B Instruct V1.0	8K / 18.6 GB	2980	86
Magnum V4 9B	8K / 18.6 GB	88	20
Odin 9B	8K / 18.6 GB	26	5
...B IT Simpo Infinity Preference	8K / 18.6 GB	108	19
GaMS 9B Instruct	8K / 18.6 GB	1583	2

Note: green Score (e.g. "73.2") means that the model is better than Granther/Gemma-2-9B-Instruct-4Bit-GPTQ.