What are the hardware requirements for Qwen3.5 122B A10B WMix58?

Qwen3.5 122B A10B WMix58 requires approximately 87.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 122B A10B WMix58 and how large is it?

Qwen3.5 122B A10B WMix58 is developed by WinterCharm, a model with 122b 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 Qwen3.5 122B A10B WMix58?

Qwen3.5 122B A10B WMix58 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 122B A10B WMix58 by WinterCharm — VRAM 87.5GB

Name: Qwen3.5 122B A10B WMix58
Author: WinterCharm

Qwen3.5 122B A10B WMix58 is an open-source language model by WinterCharm. Features: 122b LLM, VRAM: 87.5GB, License: apache-2.0, LLM Explorer Score: 0.26.

Arxiv:2210.17323 5-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-122b-a... Conversational Image-text-to-text Mlx Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Winter-mix

Model Card on HF 🤗: https://huggingface.co/WinterCharm/Qwen3.5-122B-A10B-wMix58

Qwen3.5 122B A10B WMix58 Parameters and Internals

LLM Name	Qwen3.5 122B A10B WMix58
Repository 🤗	https://huggingface.co/WinterCharm/Qwen3.5-122B-A10B-wMix58
Base Model(s)	Qwen/Qwen3.5-122B-A10B Qwen/Qwen3.5-122B-A10B
Model Size	122b
Required VRAM	87.5 GB
Updated	2026-08-09
Maintainer	WinterCharm
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-17 5.3 GB: 2-of-17 5.3 GB: 3-of-17 5.3 GB: 4-of-17 5.3 GB: 5-of-17 5.3 GB: 6-of-17 5.3 GB: 7-of-17 5.3 GB: 8-of-17 5.3 GB: 9-of-17 5.3 GB: 10-of-17 5.3 GB: 11-of-17 5.3 GB: 12-of-17 5.3 GB: 13-of-17 5.3 GB: 14-of-17 5.3 GB: 15-of-17 4.6 GB: 16-of-17 3.4 GB: 17-of-17
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 122B A10B WMix58 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 Qwen3.5 122B A10B WMix58

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 122B A10B NVFP4	0K / 83.5 GB	248732	49
Qwen3.5 122B A10B	0K / 248.6 GB	2139628	605
Qwen3.5 122B A10B	0K / 248.6 GB	45	1
Qwen3.5 122B A10B	0K / 248.6 GB	1680	8
Qwen3.5 122B A10B Abliterated	0K / 248.6 GB	62	5
Qwen3.5 122B A10B FP8	0K / 126.3 GB	1271983	112
Qwen3.5 122B A10B NVFP4	0K / 74 GB	18267	18
...en3.5 122B A10B Int4 AutoRound	0K / 72 GB	142311	45
AREX Base	0K / 164.2 GB	362	22
...2.6 Destill Healed Abliterated	0K / 245.1 GB	1143	15

Note: green Score (e.g. "73.2") means that the model is better than WinterCharm/Qwen3.5-122B-A10B-wMix58.