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

Microsoft WizardLM 2 7B requires approximately 14.4 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 and how large is it?

Microsoft WizardLM 2 7B is developed by lucyknada, 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?

Microsoft WizardLM 2 7B 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 by lucyknada — VRAM 14.4GB, 32K context

Name: Microsoft WizardLM 2 7B
Author: lucyknada

Microsoft WizardLM 2 7B is an open-source language model by lucyknada. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12.

Arxiv:2304.12244 Arxiv:2306.08568 Arxiv:2308.09583 Conversational Deploy:azure Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

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

Microsoft WizardLM 2 7B Parameters and Internals

Supported Languages

Multilingual ()

Input Output

Input Format:

A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.

LLM Name	Microsoft WizardLM 2 7B
Repository 🤗	https://huggingface.co/lucyknada/microsoft_WizardLM-2-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-08
Maintainer	lucyknada
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Microsoft WizardLM 2 7B 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

Quantized Models of the Microsoft WizardLM 2 7B

Model	Likes	Downloads	VRAM
Microsoft WizardLM 2 7B GPTQ	0	6	4 GB

Best Alternatives to Microsoft WizardLM 2 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than lucyknada/microsoft_WizardLM-2-7B.