Model Catalog#
Explore the model families and sizes supported by the NVIDIA NeMo Customizer microservice.
Tip
For specific values required to create customization targets, refer to the customization target value reference guide.
Model Families#
View the available Llama models from Meta, ranging from 8 billion to 70 billion parameters.
View the available Llama Nemotron models from NVIDIA, including Nano and Super variants for efficient and advanced instruction tuning.
View the available Phi models from Microsoft, designed for strong reasoning capabilities with efficient deployment.
View the available embedding models optimized for retrieval and question-answering tasks.
Tested Models#
The table below lists the models tested by NVIDIA and their available features. While NeMo Customizer works with all LLM NIMs, the table only shows the models that have been tested. Models available for fine-tuning with NeMo Customizer are not limited to those listed.
For detailed technical specifications of each model such as architecture, parameters, and token limits, refer to the model family pages.
Large Language Models#
All of the following models in the table support both chat and completion model training.
Model |
Train a Chat Model with Tool Calling |
Fine-tuning Options |
Sequence Packing[1] |
Inference with NIM |
Reasoning |
|---|---|---|---|---|---|
Yes |
LoRA |
No |
Supported (unverified) |
No |
|
Yes |
SFT, LoRA |
Yes |
Supported (unverified) |
No |
|
Yes |
SFT, LoRA |
Yes |
Supported |
No |
|
Yes |
LoRA |
Yes |
Supported (unverified) |
No |
|
Yes |
SFT, LoRA |
Yes |
Supported |
No |
|
Yes |
LoRA |
Yes |
Supported (unverified) |
No |
|
No |
LoRA, All Weights |
No |
Supported |
No |
|
No |
LoRA |
No |
Supported |
No |
|
No |
SFT, LoRA |
No |
Not supported |
No |
Embedding Models#
Model |
Fine-tuning Options |
Inference with NIM |
|---|---|---|
SFT |
Supported |
For detailed technical specifications and configuration information for embedding models, see the Embedding Models page.