What are the hardware requirements for Zephyr 7B Beta GPTQ?

Zephyr 7B Beta GPTQ requires approximately 4.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zephyr 7B Beta GPTQ and how large is it?

Zephyr 7B Beta GPTQ is developed by MaziyarPanahi, 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 Zephyr 7B Beta GPTQ?

Zephyr 7B Beta GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zephyr 7B Beta GPTQ by MaziyarPanahi — VRAM 4.2GB, 32K context

Name: Zephyr 7B Beta GPTQ
Author: MaziyarPanahi

Zephyr 7B Beta GPTQ is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

Arxiv:2305.18290 Arxiv:2310.16944 4-bit Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfaceh4/zephy... Base model:mistralai/mistral-7... Conversational Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee... En Endpoints compatible Finetuned Generated from trainer Gptq Has space Mistral Model-index Pytorch Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/zephyr-7b-beta-GPTQ

Zephyr 7B Beta GPTQ Parameters and Internals

LLM Name	Zephyr 7B Beta GPTQ
Repository 🤗	https://huggingface.co/MaziyarPanahi/zephyr-7b-beta-GPTQ
Model Name	zephyr-7b-beta-GPTQ
Model Creator	HuggingFaceH4
Base Model(s)	Zephyr 7B Beta HuggingFaceH4/zephyr-7b-beta
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-07-11
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	4.2 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Zephyr 7B Beta GPTQ 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 Zephyr 7B Beta GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...enHermes 2.5 Mistral 7B Marlin	32K / 4.1 GB	6	2
Zephyr 7B Beta Marlin	32K / 4.1 GB	16	0
Mistral 7B Instruct V0.3 GPTQ	32K / 4.2 GB	113881	1
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2946	18
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2658	25
Mistral 7B Instruct V0.2 GPTQ	32K / 4.2 GB	6743	56
...istral 7B Pruned50 GPTQ Marlin	32K / 4 GB	5	0
Cosmosage V2	32K / 4.2 GB	8	4
Mistral 7B Unsloth Gptq 8bit	32K / 7.7 GB	7	0
...phyr 7B Beta Assistant V1 Gptq	32K / 4.2 GB	2	1

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/zephyr-7b-beta-GPTQ.