What are the hardware requirements for Microsoft WizardLM 2 7B GPTQ?

Microsoft WizardLM 2 7B 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 Microsoft WizardLM 2 7B GPTQ and how large is it?

Microsoft WizardLM 2 7B GPTQ is developed by thesven, 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 Microsoft WizardLM 2 7B GPTQ?

Microsoft WizardLM 2 7B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Microsoft WizardLM 2 7B GPTQ by thesven — VRAM 4.2GB, 32K context

Name: Microsoft WizardLM 2 7B GPTQ
Author: thesven

Microsoft WizardLM 2 7B GPTQ is an open-source language model by thesven. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Arxiv:2304.12244 Arxiv:2306.08568 Arxiv:2308.09583 4-bit Autotrain compatible Conversational Endpoints compatible Gptq Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/thesven/microsoft_WizardLM-2-7B-GPTQ

Microsoft WizardLM 2 7B GPTQ Parameters and Internals

LLM Name	Microsoft WizardLM 2 7B GPTQ
Repository 🤗	https://huggingface.co/thesven/microsoft_WizardLM-2-7B-GPTQ
Base Model(s)	Microsoft WizardLM 2 7B lucyknada/microsoft_WizardLM-2-7B
Model Size	7b
Required VRAM	4.2 GB
Updated	2025-09-23
Maintainer	thesven
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	4.42.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Microsoft WizardLM 2 7B 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 Microsoft WizardLM 2 7B GPTQ

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...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
...istral 7B Pruned50 GPTQ Marlin	32K / 4 GB	5	0
Mistral 7B Instruct V0.2 GPTQ	32K / 4.2 GB	6743	56
Mistral 7B Unsloth Gptq 8bit	32K / 7.7 GB	7	0
Cosmosage V2	32K / 4.2 GB	8	4
...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 thesven/microsoft_WizardLM-2-7B-GPTQ.