GET
/
model
/
{modelId}

Authorizations

Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

modelId
string
required

Response

200
application/json
Model retrieved successfully
id
string
required
aliases
string[]
required

List of aliases for this model; must be globally-unique with id

number_of_experts
integer
required
customer_id
integer
required

ID of the customer who owns this node (visible to admins only)

created_at
string
required
updated_at
string
required
created_by
string
required

ID of the user who created the node (admin or owner only)

name
string
family
string
hugging_face_path
string
benchmark_model_id
string
total_params_billions
number
params_per_expert_billions
number
tensor_parallelism
integer
datatype
enum<string>
Available options:
fp8,
fp8-e4m3,
fp8-e5m2,
fp16,
tf32,
fp32,
fp64,
bfloat8,
bfloat16,
bf16,
int4,
int8,
int16,
int32,
int64,
uint4,
uint8,
uint16,
uint32,
uint64
task
enum<string>

Common types of AI/ML models and their primary functions:

  • Text-based models for natural language processing
  • Vision models for image analysis and generation
  • Audio models for speech and sound processing
  • Multimodal models that combine different types of inputs/outputs
  • Specialized models for specific use cases
Available options:
text-generation,
chat,
text-embedding,
text-classification,
sentiment-analysis,
named-entity-recognition,
question-answering,
summarization,
translation,
image-classification,
object-detection,
image-segmentation,
image-generation,
image-to-text,
text-to-image,
style-transfer,
face-detection,
facial-recognition,
speech-to-text,
text-to-speech,
speaker-identification,
audio-classification,
music-generation,
multimodal-embedding,
multimodal-generation,
visual-question-answering,
recommendation-system,
reinforcement-learning,
anomaly-detection,
time-series-forecasting,
clustering
training_usage_energy_kwh
number
training_usage_emissions_kgco2e
number
training_usage_water_l
number
training_embodied_emissions_kgco2e
number
training_embodied_water_l
number
estimated_use_life_days
number
estimated_requests_per_day
number
fine_tuned_from_model_id
string