Important
NeMo 2.0 is an experimental feature and currently released in the dev container only: nvcr.io/nvidia/nemo:dev. Please refer to NeMo 2.0 overview for information on getting started.
ChatGLM#
Released in 2023, ChatGLM3 is the third in a series of pre-trained dialogue models jointly released by Zhipu AI and Tsinghua KEG. Building off the work in the “GLM: General Language Model Pretraining with Autoregressive Blank Infilling” paper, ChatGLM3-6B is an open-source offering in the ChatGLM3 series. Although it is open open-source it retains many excellent features of the first two generations such as smooth dialogue and easy deployment. The provided documentation works for both ChatGLM3-6B and ChatGLM2-6B
Feature |
Status |
|---|---|
Data parallelism |
✓ |
Tensor parallelism |
✓ |
Pipeline parallelism |
✓ |
Interleaved Pipeline Parallelism Sched |
N/A |
Sequence parallelism |
✓ |
Selective activation checkpointing |
✓ |
Gradient checkpointing |
✓ |
Partial gradient checkpointing |
✓ |
FP32/TF32 |
✓ |
AMP/FP16 |
✗ |
BF16 |
✓ |
TransformerEngine/FP8 |
✗ |
Multi-GPU |
✓ |
Multi-Node |
✓ |
Inference |
N/A |
Slurm |
✓ |
Base Command Manager |
✓ |
Base Command Platform |
✓ |
Distributed data preprcessing |
✓ |
NVfuser |
✗ |
P-Tuning and Prompt Tuning |
✓ |
IA3 and Adapter learning |
✓ |
Distributed Optimizer |
✓ |
Distributed Checkpoint |
✓ |
Fully Shared Data Parallel |
N/A |