Qwen3.5-122B-A10B | NVIDIA NeMo AutoModel

Qwen3.5-122B-A10B has a checked-in NeMo AutoModel recipe for image-text-to-text. The Hugging Face configuration declares the Qwen3_5MoeForConditionalGeneration architecture.

Fine-Tune Qwen3.5-122B-A10B

Follow the installation instructions, then review the checked-in recipe and its declared topology below before choosing a local or cluster launcher.

Use the Slurm launcher guide for the multi-node run.

Choose a Workflow

Goal	Start Here
Run the primary recipe for this model	Use the recipe configuration.
Prepare your environment	Follow the installation instructions.

Configuration

Setting	Configuration
Hardware	-
Strategy	FSDP2; tp_size=1, pp_size=1, cp_size=32, ep_size=8
Nodes	16
Features	Activation checkpointing (activation_checkpointing=true), HybridEP (dispatcher=hybridep)
Advanced	torch.bfloat16, attention=sdpa, linear=torch, experts=torch_mm, dispatcher=hybridep

Model Reference

Model Architecture

Property	Value
Task	Image-text-to-text
Architecture	`Qwen3_5MoeForConditionalGeneration`

Available Models

Qwen/Qwen3.5-122B-A10B

Vision-language model fine-tuning guide