For AI agents: a documentation index is available at the root level at /llms.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
This page is for version 0.7.1.
For other versions, use one of these documentation indexes:
- Latest (default): https://docs.nvidia.com/nemo-helix/latest/llms.txt
- 0.8.0: https://docs.nvidia.com/nemo-helix/v0.8.0/llms.txt
- 0.7.1: https://docs.nvidia.com/nemo-helix/v0.7.1/llms.txt
- 0.7.0: https://docs.nvidia.com/nemo-helix/v0.7.0/llms.txt
- 0.6.0: https://docs.nvidia.com/nemo-helix/v0.6.0/llms.txt
- 0.5.1: https://docs.nvidia.com/nemo-helix/v0.5.1/llms.txt
- 0.5.0: https://docs.nvidia.com/nemo-helix/v0.5.0/llms.txt
- 0.4.0: https://docs.nvidia.com/nemo-helix/v0.4.0/llms.txt
- 0.3.0: https://docs.nvidia.com/nemo-helix/v0.3.0/llms.txt
- 0.2.0: https://docs.nvidia.com/nemo-helix/v0.2.0/llms.txt
A set of checkpoint files, configs, and other auxiliary info associated with this model. Either a fileset name or ‘workspace/fileset_name’. A bare name is resolved in the request workspace (the platform default workspace is named ‘default’). Each segment is 2-63 characters: lowercase letters, digits, hyphens, and temporarily @ . + _; no consecutive hyphens, and it cannot end with a hyphen.
finetuning_typeenumOptional
Set for full weight finetuned models
base_modelstringOptional
Link to another model which is used as a base for the current model
api_endpointobjectOptional
Data about the inference endpoint for this model
backend_formatenum or nullOptional
Inference API wire format expected by the backend. If unset, inference routing treats the model as OPENAI_CHAT.
Allowed values:
promptobjectOptional
Configuration for prompt engineering
custom_fieldsmap from strings to anyOptional
Custom fields for additional metadata
ownershipmap from strings to anyOptional
Ownership information for the model
model_providerslist of stringsOptional
List of ModelProvider workspace/name resource names that provide inference for this Model Entity
trust_remote_codebooleanOptional
Whether to trust remote code for the checkpoint.
Some models without support in certain libraries such as Transformers require additional custom Python code to execute.
Due to security ramifications of running arbitrary code, this can only be set to true on one of the following conditions:
(1) the model’s fileset’s source is pre-approved in the platform config, or
(2) the user creating this model is an administrator.
Name of the entity. Name/workspace combo must be unique across all entities. Name must start with a lowercase letter, be 2-63 characters, and use lowercase letters, digits, hyphens, and dots (no consecutive hyphens, cannot end with a hyphen).
The workspace of the entity. Allowed characters: letters (a-z, A-Z), digits (0-9), underscores, hyphens, and dots.
created_atdatetime
The timestamp of model entity creation
updated_atdatetime
The timestamp of the last model entity update
projectstringOptional<=255 characters
The URN of the project associated with this model entity.
descriptionstringOptional<=1000 characters
Optional description of the model.
specobjectOptional
Detailed specification for the model
finetuning_typeenumOptional
Set for full weight finetuned models
filesetstringOptional
A set of checkpoint files, configs, and other auxiliary info associated with this model. Either a fileset name or ‘workspace/fileset_name’. A bare name is resolved in the request workspace (the platform default workspace is named ‘default’). Each segment is 2-63 characters: lowercase letters, digits, hyphens, and temporarily @ . + _; no consecutive hyphens, and it cannot end with a hyphen.
trust_remote_codebooleanOptionalDefaults to false
Whether to trust remote code to load this model checkpoint.
base_modelstringOptional
Link to another model which is used as a base for the current model
api_endpointobjectOptional
Data about the inference endpoint for this model
backend_formatenum or nullOptional
Inference API wire format expected by the backend. If unset, inference routing treats the model as OPENAI_CHAT.
Allowed values:
adapterslist of objectsOptional
Adapters that have been created against this model
promptobjectOptional
Configuration for prompt engineering
custom_fieldsmap from strings to anyOptional
Custom fields for additional metadata
ownershipmap from strings to anyOptional
Ownership information for the model
model_providerslist of stringsOptional
List of ModelProvider workspace/name resource names that provide inference for this Model Entity
