What are the hardware requirements for WizardLM 2 8x22B Beige EXL2 5.0bpw?

WizardLM 2 8x22B Beige EXL2 5.0bpw requires approximately 88.4 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed WizardLM 2 8x22B Beige EXL2 5.0bpw and how large is it?

WizardLM 2 8x22B Beige EXL2 5.0bpw is developed by gghfez. 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 WizardLM 2 8x22B Beige EXL2 5.0bpw?

WizardLM 2 8x22B Beige EXL2 5.0bpw is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WizardLM 2 8x22B Beige EXL2 5.0bpw by gghfez — VRAM 88.4GB, 64K context

Name: WizardLM 2 8x22B Beige EXL2 5.0bpw
Author: gghfez

WizardLM 2 8x22B Beige EXL2 5.0bpw is an open-source language model by gghfez. Features: LLM, VRAM: 88.4GB, Context: 64K, MoE, Quantized, Merged, LLM Explorer Score: 0.13.

Merged Model Arxiv:2403.19522 5-bit Conversational Endpoints compatible Exl2 Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/gghfez/WizardLM-2-8x22B-Beige-exl2_5.0bpw

WizardLM 2 8x22B Beige EXL2 5.0bpw Parameters and Internals

Additional Notes

This model was created as a merge of pre-trained language models using the Model Stock merge method along with a Q4 cache.

LLM Name	WizardLM 2 8x22B Beige EXL2 5.0bpw
Repository 🤗	https://huggingface.co/gghfez/WizardLM-2-8x22B-Beige-exl2_5.0bpw
Merged Model	Yes
Required VRAM	88.4 GB
Updated	2026-05-14
Maintainer	gghfez
Model Type	mixtral
Model Files	8.6 GB: 1-of-11 8.6 GB: 2-of-11 8.6 GB: 3-of-11 8.6 GB: 4-of-11 8.6 GB: 5-of-11 8.6 GB: 6-of-11 8.5 GB: 7-of-11 8.6 GB: 8-of-11 8.6 GB: 9-of-11 8.6 GB: 10-of-11 2.5 GB: 11-of-11
Quantization Type	exl2
Model Architecture	MixtralForCausalLM
Context Length	65536
Model Max Length	65536
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the WizardLM 2 8x22B Beige EXL2 5.0bpw 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

Best Alternatives to WizardLM 2 8x22B Beige EXL2 5.0bpw

Best Alternatives	Context / RAM	Downloads	Likes
...oE V0.1 DPO F16 4.0bpw H6 EXL2	195K / 31.3 GB	7	0
...oE V0.1 DPO F16 5.0bpw H6 EXL2	195K / 38.8 GB	6	0
...2 Mixtral 8x22b 6.0bpw H8 EXL2	64K / 105.8 GB	2	1
WizardLM 2 8x22 EXL2 4.0bpw	64K / 70.9 GB	7	1
...M 2 8x22B Beige 5.0bpw H6 EXL2	64K / 88.5 GB	8	0
...M 2 8x22B Beige 4.0bpw H6 EXL2	64K / 70.8 GB	6	0
...M 2 8x22B Beige 2.4bpw H6 EXL2	64K / 42.7 GB	5	0
...M 2 8x22B Beige 3.0bpw H6 EXL2	64K / 53.2 GB	5	0
...B Instruct V0.1 8.0bpw H8 EXL2	64K / 120.2 GB	6	1
...2 Mixtral 8x22b 8.0bpw H8 EXL2	64K / 125.1 GB	11	2

Note: green Score (e.g. "73.2") means that the model is better than gghfez/WizardLM-2-8x22B-Beige-exl2_5.0bpw.