Generate DNA sequences

post

https://health.api.nvidia.com/v1/biology/arc/evo2-40b/generate

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Body Params

sequence

string

required

length ≥ 1

Sequence data of the DNA.

num_tokens

≥ 1

Number of tokens to be generated.

temperature

≤ 1.3

Scale of randomness in the temperature sampling process. Values lower than 1.0 generates a sharper distribution, which is less random. Values higher than 1.0 generates a uniform distribution, which is more random.

top_k

0 to 6

Specifies the number of highest probability tokens to consider. When set to 1, it selects only the token with the highest probability. The higher the values are set, the more diverse the sampling will be. If set to 0, all tokens are considered.

top_p

0 to 1

This parameter specifies the top-p threshold number, between 0 and 1, that enables nucleus sampling. When cumulative probability of the smallest possible set of tokens exceeds the top_p threshold, it filters out the rest of the tokens. Setting this to 0.0 disables top-p sampling.

random_seed

Turns the Evo 2 model into a deterministic model, where an input DNA and a fixed seed always produces the same output. This argument should only be used for development purposes.

enable_logits

boolean

Defaults to false

Enables or disables Logits reporting in the output response.

enable_sampled_probs

boolean

Defaults to false

Enables or disables the reporting of sampled token probabilities. When enabled, generates a list of probability values, between 0 and 1, corresponding to each token in the output sequence. These probabilities represent the model's confidence each token selection during the generation process. The resulting list has the same length as the output sequence, which provides insight into the model's decision-making at each step of text generation.

enable_elapsed_ms_per_token

boolean

Defaults to false

Enables or disables the reporting of per-token timing statistics, which is used for benchmarking.

Responses

200Successful Response

422Validation Error