EvolutionaryScale · Schema

EvolutionaryScale GenerationConfig

Schema for the `GenerationConfig` object that controls iterative masked sampling for the EvolutionaryScale Forge ESM3 generate endpoint.

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Properties

Name	Type	Description
track	string	Which ESM3 track to generate. Sequence is the most common; structure and function tracks require the multimodal model checkpoints.
num_steps	integer	Number of iterative masked-sampling steps. Lower values are faster; higher values produce more refined outputs.
temperature	number	Sampling temperature. 0.0 yields greedy decoding; 1.0 matches the trained distribution; higher values increase diversity.
top_p	number	Nucleus sampling cutoff. Samples from the smallest set of tokens whose cumulative probability is at least `top_p`.
schedule	string	Decoding schedule controlling how many positions are unmasked per step.
invalid_ids	array	Token IDs the sampler must never emit. Useful for constraining amino acid alphabets or forbidding rare structure tokens.
condition_on_coordinates_only	boolean	If true, condition only on coordinates (ignore sequence tokens) when generating other tracks.

View JSON Schema on GitHub

JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://api-evangelist.com/schemas/evolutionaryscale/evolutionaryscale-generation-config-schema.json",
  "title": "EvolutionaryScale GenerationConfig",
  "description": "Schema for the `GenerationConfig` object that controls iterative masked sampling for the EvolutionaryScale Forge ESM3 generate endpoint.",
  "type": "object",
  "required": ["track"],
  "properties": {
    "track": {
      "type": "string",
      "description": "Which ESM3 track to generate. Sequence is the most common; structure and function tracks require the multimodal model checkpoints.",
      "enum": ["sequence", "structure", "secondary_structure", "sasa", "function"]
    },
    "num_steps": {
      "type": "integer",
      "description": "Number of iterative masked-sampling steps. Lower values are faster; higher values produce more refined outputs.",
      "default": 8,
      "minimum": 1,
      "maximum": 256
    },
    "temperature": {
      "type": "number",
      "description": "Sampling temperature. 0.0 yields greedy decoding; 1.0 matches the trained distribution; higher values increase diversity.",
      "default": 1.0,
      "minimum": 0.0
    },
    "top_p": {
      "type": "number",
      "description": "Nucleus sampling cutoff. Samples from the smallest set of tokens whose cumulative probability is at least `top_p`.",
      "minimum": 0.0,
      "maximum": 1.0
    },
    "schedule": {
      "type": "string",
      "description": "Decoding schedule controlling how many positions are unmasked per step.",
      "enum": ["cosine", "linear"]
    },
    "invalid_ids": {
      "type": "array",
      "description": "Token IDs the sampler must never emit. Useful for constraining amino acid alphabets or forbidding rare structure tokens.",
      "items": { "type": "integer", "minimum": 0 }
    },
    "condition_on_coordinates_only": {
      "type": "boolean",
      "description": "If true, condition only on coordinates (ignore sequence tokens) when generating other tracks.",
      "default": false
    }
  },
  "additionalProperties": false
}