Qwen3.5-27B | NVIDIA NeMo AutoModel

Qwen3.5-27B has a checked-in NeMo AutoModel recipe for image-text-to-text. The Hugging Face configuration declares the Qwen3_5ForConditionalGeneration architecture.

Fine-Tune Qwen3.5-27B

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	tp_size=4; pp_size=4, cp_size=1, ep_size=1
Nodes	2
Features	Activation checkpointing (activation_checkpointing=true)
Advanced	attention=sdpa, linear=torch

Model Reference

Model Architecture

Property	Value
Task	Image-text-to-text
Architecture	`Qwen3_5ForConditionalGeneration`

Available Models

Qwen/Qwen3.5-27B

Vision-language model fine-tuning guide