Ling-1T | NVIDIA NeMo AutoModel

Ling-1T has a checked-in NeMo AutoModel recipe for text generation. The Hugging Face configuration declares the BailingMoeV2ForCausalLM architecture.

Fine-Tune Ling-1T

Follow the installation instructions, then run the recipe from the repository root:

automodel examples/llm_finetune/ling/ling_1t_sft.yaml --nproc-per-node 8

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.
Try another checked-in recipe for this model	Use the alternate recipe.

Configuration

Setting	Configuration
Hardware	-
Strategy	FSDP2; tp_size=1, pp_size=4, cp_size=1, ep_size=64
Nodes	32
Features	Checkpointing (enabled=true), Activation checkpointing (activation_checkpointing=true), Transformer Engine, HybridEP (dispatcher=hybridep)
Advanced	bfloat16, attention=sdpa, linear=te, experts=torch_mm, dispatcher=hybridep

More Recipes for This Model

ling_1t_lora_pp.yaml

Model Reference

Model Architecture

Property	Value
Task	Text generation
Architecture	`BailingMoeV2ForCausalLM`

Available Models

inclusionAI/Ling-1T

LLM fine-tuning guide