What are the hardware requirements for Google Gemma 7B 4 Bit Gptq?

Google Gemma 7B 4 Bit Gptq requires approximately 5.6 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 Google Gemma 7B 4 Bit Gptq and how large is it?

Google Gemma 7B 4 Bit Gptq is developed by SotiriosKastanas, a model with 7b 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 Google Gemma 7B 4 Bit Gptq?

Google Gemma 7B 4 Bit Gptq is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Google Gemma 7B 4 Bit Gptq by SotiriosKastanas — VRAM 5.6GB, 8K context

Name: Google Gemma 7B 4 Bit Gptq
Author: SotiriosKastanas

Google Gemma 7B 4 Bit Gptq is an open-source language model by SotiriosKastanas. Features: 7b LLM, VRAM: 5.6GB, Context: 8K, Quantized, LLM Explorer Score: 0.14.

Arxiv:1910.09700 4-bit Endpoints compatible Gemma Gptq Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/SotiriosKastanas/google-gemma-7b-4-bit-gptq

Google Gemma 7B 4 Bit Gptq Benchmarks

LLME Score: 0.13746

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Google Gemma 7B 4 Bit Gptq (SotiriosKastanas/google-gemma-7b-4-bit-gptq)

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Google Gemma 7B 4 Bit Gptq Parameters and Internals

LLM Name	Google Gemma 7B 4 Bit Gptq
Repository 🤗	https://huggingface.co/SotiriosKastanas/google-gemma-7b-4-bit-gptq
Model Size	7b
Required VRAM	5.6 GB
Updated	2026-04-10
Maintainer	SotiriosKastanas
Model Type	gemma
Model Files	5.6 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	GemmaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Best Alternatives to Google Gemma 7B 4 Bit Gptq

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 1.1 7B It GPTQ	8K / 7.2 GB	4	1
Codegemma 7B It GPTQ	8K / 7.2 GB	6	1
CodeGemma 7B GPTQ	8K / 7.2 GB	9	0
Google Gemma 7B 8 Bit Gptq	8K / 9.5 GB	8	0
Gemma 7B Instruct GPTQ 4bit	8K / 5.6 GB	6	0
Codegemma 1.1 7B It GPTQ	8K / 7.2 GB	3	1
SeaLLM 7B V2.5 4bit	8K / 7.2 GB	6	2
Gemma 7B GPTQ	8K / 7.2 GB	89	0
Gemma 7B It GPTQ	8K / 7.2 GB	6	0
...t Cleaner Gemma 32k Merged 16b	31K / 17.1 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than SotiriosKastanas/google-gemma-7b-4-bit-gptq.

Rank the Google Gemma 7B 4 Bit Gptq Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Google Gemma 7B 4 Bit Gptq by SotiriosKastanas

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Google Gemma 7B 4 Bit Gptq Benchmarks

Google Gemma 7B 4 Bit Gptq Parameters and Internals

Best Alternatives to Google Gemma 7B 4 Bit Gptq

Rank the Google Gemma 7B 4 Bit Gptq Capabilities

What open-source LLMs or SLMs are you in search of? 53254 in total.