What are the hardware requirements for Qwen3.5 122B A10B NVFP4?

Qwen3.5 122B A10B NVFP4 requires approximately 76.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 122B A10B NVFP4 and how large is it?

Qwen3.5 122B A10B NVFP4 is developed by axteam, 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 NVFP4?

Qwen3.5 122B A10B NVFP4 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 NVFP4 by axteam — VRAM 76.4GB

Name: Qwen3.5 122B A10B NVFP4
Author: axteam

Qwen3.5 122B A10B NVFP4 is an open-source language model by axteam. Features: 122b LLM, VRAM: 76.4GB, License: apache-2.0, LLM Explorer Score: 0.28.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-122b-a... Compressed-tensors Conversational Endpoints compatible Fp4 Image-text-to-text Multimodal Nvfp4 Quantized Qwen Qwen3 5 Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/axteam/Qwen3.5-122B-A10B-NVFP4

Qwen3.5 122B A10B NVFP4 Parameters and Internals

LLM Name	Qwen3.5 122B A10B NVFP4
Repository 🤗	https://huggingface.co/axteam/Qwen3.5-122B-A10B-NVFP4
Base Model(s)	Qwen/Qwen3.5-122B-A10B Qwen/Qwen3.5-122B-A10B
Model Size	122b
Required VRAM	76.4 GB
Updated	2026-10-31
Maintainer	axteam
Model Type	qwen3_5_moe
Model Files	20.0 GB: 1-of-4 20.0 GB: 2-of-4 20.0 GB: 3-of-4 16.4 GB: 4-of-4 5.0 GB
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 NVFP4 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 NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
Ornith 1.5 122B	0K / 174.2 GB	60210	186
Qwen3.5 122B A10B NVFP4	0K / 83.5 GB	248732	49
Ornith 1.5 122B NVFP4	0K / 77.6 GB	36820	20
Qwen3.5 122B A10B	0K / 248.6 GB	2139628	605
Ornith 1.5 122B FP8	0K / 90.1 GB	50413	12
Qwen3.5 122B A10B	0K / 248.6 GB	1680	8
Qwen3.5 122B A10B	0K / 248.6 GB	45	1
Qwen3.5 122B A10B Abliterated	0K / 248.6 GB	108	5
Qwen3.5 122B A10B FP8	0K / 126.3 GB	1271983	112
...nith 1.5 122B EXL3 EAQv1 4 Bpw	0K / 65.8 GB	510	8

Note: green Score (e.g. "73.2") means that the model is better than axteam/Qwen3.5-122B-A10B-NVFP4.