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: 0.13.

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 Benchmarks

LLME Score: 0.13063

^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)

Microsoft WizardLM 2 7B (lucyknada/microsoft_WizardLM-2-7B)

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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	2026-05-10
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

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	254	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8623	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	24	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	8131	17
Hebrew Mistral 7B 200K	256K / 30 GB	1378	15
Astral 256K 7B V2	250K / 14.4 GB	5	0
Astral 256K 7B	250K / 14.4 GB	5	0

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

Rank the Microsoft WizardLM 2 7B 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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Microsoft WizardLM 2 7B by lucyknada