Model details

If you need detailed information about specific models from our in-house model due diligence, you can use our endpoints to access comprehensive data. This includes information such as model descriptions, evaluation results, hardware requirements, and runtime settings. To retrieve structured information about our models, we provide an API that facilitates easy access to this data.

These endpoints are provided for your information. If you intend to use this data for commercial purposes, please contact us at [email protected].

get

Returns detailed information about a model

Authorizations

BasicAuth

AuthorizationstringRequired

Query parameters

modelNamestringRequired

the name of the model (model_name)

Example: meta-llama/Meta-Llama-3.1-8B-Instruct

Responses

200

Successfully returned information about a model

application/json

created_atstringOptional

screen_namestringOptional

model_nameintegerOptional

image_namestringOptional

hf_namestringOptional

licensestringOptional

sizeintegerOptional

context_lengthintegerOptional

creatorobjectOptional

quantizationstringOptional

descriptionstingOptional

tagsarrayOptional

recommended_promptstringOptional

prompt_examplestringOptional

evaluationobjectOptional

bitsintegerOptional

hardware_infoobjectOptional

required_VRAM_GBnumberOptional

recommended_configstringOptional

hardware_configsobjectOptional

get

/model

HTTPcURLJavaScriptPython

GET /api/model?modelName=text HTTP/1.1
Host: cortecs.ai
Authorization: Basic username:password
Accept: */*

200

Successfully returned information about a model

[
  {
    "created_at": "text",
    "screen_name": "text",
    "model_name": 1,
    "image_name": "text",
    "hf_name": "text",
    "license": "text",
    "size": 1,
    "context_length": 1,
    "creator": {},
    "quantization": "text",
    "description": null,
    "tags": [],
    "recommended_prompt": "text",
    "prompt_example": "text",
    "evaluation": {},
    "bits": 1,
    "hardware_info": {},
    "required_VRAM_GB": 1,
    "recommended_config": "text",
    "hardware_configs": {}
  }
]