What are the hardware requirements for Zephyr Beta WizardLM 2 Merge 7B?

Zephyr Beta WizardLM 2 Merge 7B requires approximately 14.5 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 Beta WizardLM 2 Merge 7B and how large is it?

Zephyr Beta WizardLM 2 Merge 7B is developed by grimjim, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Zephyr Beta WizardLM 2 Merge 7B perform on standard benchmarks?

Zephyr Beta WizardLM 2 Merge 7B has the following published scores: MMLU 63.42. Compare against reference models on this page or on the LLM Explorer leaderboards.

Zephyr Beta WizardLM 2 Merge 7B by grimjim — VRAM 14.5GB, 32K context

Name: Zephyr Beta WizardLM 2 Merge 7B
Author: grimjim

Zephyr Beta WizardLM 2 Merge 7B is an open-source language model by grimjim. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.13, Arc: 64.7, HellaSwag: 85.3, MMLU: 63.4, GSM8K: 46.3.

Merged Model Base model:huggingfaceh4/zephy... Base model:lucyknada/microsoft... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/grimjim/zephyr-beta-wizardLM-2-merge-7B

Zephyr Beta WizardLM 2 Merge 7B Parameters and Internals

Model Type

text-generation

Additional Notes

This is a merge of two pre-trained language models created using mergekit. Merged using the SLERP merge method. The goal was to explore the impact of merging on reasoning and narrative generation.

LLM Name	Zephyr Beta WizardLM 2 Merge 7B
Repository 🤗	https://huggingface.co/grimjim/zephyr-beta-wizardLM-2-merge-7B
Base Model(s)	Microsoft WizardLM 2 7B Zephyr 7B Beta lucyknada/microsoft_WizardLM-2-7B HuggingFaceH4/zephyr-7b-beta
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-08-04
Maintainer	grimjim
Model Type	mistral
Model Files	5.9 GB: 1-of-3 5.9 GB: 2-of-3 2.7 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Zephyr Beta WizardLM 2 Merge 7B 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

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Note: green Score (e.g. "73.2") means that the model is better than grimjim/zephyr-beta-wizardLM-2-merge-7B.