databricks/dolly-v2-12b
Databricks’ dolly-v2-12b, an instruction-following large language model trained on the Databricks machine learning platform that is licensed for commercial use. Based on pythia-12b, Dolly is trained on ~15k instruction/response fine tuning records
Databricks’ dolly-v2-12b, an instruction-following large language model trained on the Databricks machine learning platform that is licensed for commercial use. Based on pythia-12b, Dolly is trained on ~15k instruction/response fine tuning records
HTTP/cURL API
Input fields
max_new_tokensinteger
maximum length of the newly generated generated text.If not set or None defaults to model's max context length minus input length.
Default value: 512
Range: 1 ≤ max_new_tokens ≤ 100000
temperaturenumber
temperature to use for sampling. 0 means the output is deterministic. Values greater than 1 encourage more diversity
Default value: 0.7
Range: 0 ≤ temperature ≤ 100
top_pnumber
Sample from the set of tokens with highest probability such that sum of probabilies is higher than p. Lower values focus on the most probable tokens.Higher values sample more low-probability tokens
Default value: 0.9
Range: 0 < top_p ≤ 1
top_kinteger
Sample from the best k (number of) tokens. 0 means off
Default value: 0
Range: 0 ≤ top_k < 100000
repetition_penaltynumber
repetition penalty. Value of 1 means no penalty, values greater than 1 discourage repetition, smaller than 1 encourage repetition.
Default value: 1
Range: 0.01 ≤ repetition_penalty ≤ 5
num_responsesinteger
Number of output sequences to return. Incompatible with streaming
Default value: 1
Range: 1 ≤ num_responses ≤ 2
presence_penaltynumber
Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
Default value: 0
Range: -2 ≤ presence_penalty ≤ 2
frequency_penaltynumber
Positive values penalize new tokens based on how many times they appear in the text so far, increasing the model's likelihood to talk about new topics.
Default value: 0
Range: -2 ≤ frequency_penalty ≤ 2
webhookfile
The webhook to call when inference is done, by default you will get the output in the response of your inference request
streamboolean
Whether to stream tokens, by default it will be false, currently only supported for Llama 2 text generation models, token by token updates will be sent over SSE
Default value: false
