MiniMax-M2.7 | NVIDIA NeMo AutoModel

MiniMax-M2.7 has a checked-in NeMo AutoModel recipe for text generation. The Hugging Face configuration declares the MiniMaxM2ForCausalLM architecture.

Fine-Tune MiniMax-M2.7

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

automodel examples/llm_finetune/minimax_m2/minimax_m2.7_hellaswag_pp.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=2, cp_size=1, ep_size=16
Nodes	8
Features	Activation checkpointing (activation_checkpointing=true), Transformer Engine, HybridEP (dispatcher=hybridep)
Advanced	attention=te, linear=te, experts=torch_mm, dispatcher=hybridep

More Recipes for This Model

minimax_m2.7_hellaswag_lora.yaml

Model Reference

Model Architecture

Property	Value
Task	Text generation
Architecture	`MiniMaxM2ForCausalLM`

Available Models

MiniMaxAI/MiniMax-M2.7

LLM fine-tuning guide