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

Qwen3.5 122B A10B requires approximately 248.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.5 122B A10B is developed by SwinliQ-AIs, 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?

Qwen3.5 122B A10B 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 by SwinliQ-AIs — VRAM 248.6GB

Name: Qwen3.5 122B A10B
Author: SwinliQ-AIs

Qwen3.5 122B A10B is an open-source language model by SwinliQ-AIs. Features: 122b LLM, VRAM: 248.6GB, License: apache-2.0.

Conversational Endpoints compatible Image-text-to-text Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

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

Qwen3.5 122B A10B Parameters and Internals

LLM Name	Qwen3.5 122B A10B
Repository 🤗	https://huggingface.co/SwinliQ-AIs/Qwen3.5-122B-A10B
Model Size	122b
Required VRAM	248.6 GB
Updated	2026-08-09
Maintainer	SwinliQ-AIs
Model Type	qwen3_5_moe
Model Files	6.4 GB: 1-of-39 6.4 GB: 2-of-39 6.4 GB: 3-of-39 6.4 GB: 4-of-39 6.4 GB: 5-of-39 6.4 GB: 6-of-39 6.4 GB: 7-of-39 6.4 GB: 8-of-39 6.4 GB: 9-of-39 6.4 GB: 10-of-39 6.4 GB: 11-of-39 6.4 GB: 12-of-39 6.4 GB: 13-of-39 6.4 GB: 14-of-39 6.4 GB: 15-of-39 6.4 GB: 16-of-39 6.4 GB: 17-of-39 6.4 GB: 18-of-39 6.4 GB: 19-of-39 6.4 GB: 20-of-39 6.4 GB: 21-of-39 6.4 GB: 22-of-39 6.4 GB: 23-of-39 6.4 GB: 24-of-39 6.4 GB: 25-of-39 6.4 GB: 26-of-39 6.4 GB: 27-of-39 6.4 GB: 28-of-39 6.4 GB: 29-of-39 6.4 GB: 30-of-39 6.4 GB: 31-of-39 6.4 GB: 32-of-39 6.4 GB: 33-of-39 6.4 GB: 34-of-39 6.4 GB: 35-of-39 6.4 GB: 36-of-39 6.4 GB: 37-of-39 6.4 GB: 38-of-39 5.4 GB: 39-of-39
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 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

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 122B A10B NVFP4	0K / 83.5 GB	248732	49
Qwen3.5 122B A10B Abliterated	0K / 248.6 GB	49	5
...en3.5 122B A10B Int4 AutoRound	0K / 72 GB	142311	45
Qwen3.5 122B A10B OQ4 Mtp	0K / 72.5 GB	925	3
Qwen3.5 122B A10B Bf16	0K / 224.2 GB	2773	2
Qwen3.5 REAP 97B A10B	0K / 194.2 GB	31	17
Qwen3.5 122B A10B SFT	0K / 11.6 GB	29	1
Qwen3.5 122B A10B WMix48	0K / 73.2 GB	215	3
Qwen3.5 122B A10B WMix58	0K / 87.5 GB	214	3
Qwen3.5 122B A10B WMix68	0K / 102.1 GB	156	1

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