Model Catalog#
Explore the model families and sizes supported by NVIDIA NeMo Customizer.
Tip
For specific values required to create customization targets, refer to the customization target value reference guide.
Before You Start#
If downloading models hosted on Hugging Face, ensure that hfTargetDownload is enabled in the Helm configuration and that a Hugging Face API key secret is available. Refer to the Hugging Face API Key Secret Guide for setup instructions.
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.
View the available GPT-OSS models supported for customization.
View the available Gemma models from Google, such as the 2B instruction-tuned variant.
Tested Models#
The following table lists models that NVIDIA tested and their available features. While NeMo Customizer works with all LLM NIM microservices, the table lists the models that NVIDIA 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#
The following models 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 |
Yes |
Supported (unverified) |
No |
|
Yes |
All Weights, LoRA |
Yes |
Supported (unverified) |
No |
|
Yes |
All Weights, LoRA |
Yes |
Supported |
No |
|
Yes |
LoRA |
Yes |
Supported (unverified) |
No |
|
Yes |
All Weights, LoRA |
Yes |
Supported |
No |
|
Yes |
LoRA |
Yes |
Supported (unverified) |
No |
|
No |
All Weights, LoRA |
Yes |
Supported |
No |
|
No |
LoRA |
Yes |
Supported |
No |
|
No |
All Weights, LoRA |
No |
Not supported |
No |
|
Yes |
All Weights, LoRA |
No |
Not specified |
No |
|
No |
All Weights |
No |
Supported |
No |
|
No |
All Weights |
No |
Supported |
No |
Embedding Models#
Model |
Fine-tuning Options |
Inference with NIM |
|---|---|---|
All Weights |
Supported |
For detailed technical specifications and configuration information for embedding models, see the Embedding Models page.