What are the hardware requirements for Qwen3.5 122B A10B Int4 AutoRound?

Qwen3.5 122B A10B Int4 AutoRound requires approximately 72 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 122B A10B Int4 AutoRound and how large is it?

Qwen3.5 122B A10B Int4 AutoRound is developed by Intel, 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 Int4 AutoRound?

Qwen3.5 122B A10B Int4 AutoRound 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 Int4 AutoRound by Intel — VRAM 72GB

Name: Qwen3.5 122B A10B Int4 AutoRound
Author: Intel

Qwen3.5 122B A10B Int4 AutoRound is an open-source language model by Intel. Features: 122b LLM, VRAM: 72GB, LLM Explorer Score: 0.32.

Arxiv:2309.05516 4-bit Auto-round Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-122b-a... Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Intel/Qwen3.5-122B-A10B-int4-AutoRound

Qwen3.5 122B A10B Int4 AutoRound Parameters and Internals

LLM Name	Qwen3.5 122B A10B Int4 AutoRound
Repository 🤗	https://huggingface.co/Intel/Qwen3.5-122B-A10B-int4-AutoRound
Base Model(s)	Qwen/Qwen3.5-122B-A10B Qwen/Qwen3.5-122B-A10B
Model Size	122b
Required VRAM	72 GB
Updated	2026-08-04
Maintainer	Intel
Model Type	qwen3_5_moe
Model Files	5.4 GB: 1-of-14 5.4 GB: 2-of-14 5.4 GB: 3-of-14 5.4 GB: 4-of-14 5.4 GB: 5-of-14 5.4 GB: 6-of-14 5.4 GB: 7-of-14 5.4 GB: 8-of-14 5.4 GB: 9-of-14 5.4 GB: 10-of-14 5.4 GB: 11-of-14 5.2 GB: 12-of-14 5.4 GB: 13-of-14 2.0 GB: 14-of-14 5.0 GB
Model Architecture	Qwen3_5MoeForConditionalGeneration
Model Max Length	262144
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 122B A10B Int4 AutoRound capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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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 Int4 AutoRound

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	59	5
Qwen3.5 122B A10B FP8	0K / 126.3 GB	1271983	112
Qwen3.5 122B A10B NVFP4	0K / 74 GB	18267	18
AREX Base	0K / 164.2 GB	548	21
Qwen3.5 122B A10B WMix48	0K / 73.2 GB	215	3
Qwen3.5 122B A10B WMix58	0K / 87.5 GB	214	3

Note: green Score (e.g. "73.2") means that the model is better than Intel/Qwen3.5-122B-A10B-int4-AutoRound.