From 128de3585b0f58b1e562733448fc00109f23a95d Mon Sep 17 00:00:00 2001 From: Behnam M <58621210+ibehnam@users.noreply.github.com> Date: Tue, 9 Jan 2024 05:02:05 -0500 Subject: [PATCH] server : update readme about token probs (#4777) * updated server readme to reflect the gg/server-token-probs-4088 commit added explanation for the API's completion result which now includes `completion_probabilities`. Also added a JSON schema that shows the type/structure of `completion_probabilities`. * simplified the `completion_probabilities` JSON schema It's now easier to understand what the structure of `completion_probabilities` looks like. * minor : fix trailing whitespace --------- Co-authored-by: Georgi Gerganov --- examples/server/README.md | 59 ++++++++++++++++++++++----------------- 1 file changed, 34 insertions(+), 25 deletions(-) diff --git a/examples/server/README.md b/examples/server/README.md index 5d98296243083..d85a14f891bc4 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -175,35 +175,44 @@ node index.js `system_prompt`: Change the system prompt (initial prompt of all slots), this is useful for chat applications. [See more](#change-system-prompt-on-runtime) - *Result JSON:* +### Result JSON: - Note: When using streaming mode (`stream`) only `content` and `stop` will be returned until end of completion. +* Note: When using streaming mode (`stream`) only `content` and `stop` will be returned until end of completion. - `content`: Completion result as a string (excluding `stopping_word` if any). In case of streaming mode, will contain the next token as a string. - `stop`: Boolean for use with `stream` to check whether the generation has stopped (Note: This is not related to stopping words array `stop` from input options) +- `completion_probabilities`: An array of token probabilities for each completion. The array's length is `n_predict`. Each item in the array has the following structure: - `generation_settings`: The provided options above excluding `prompt` but including `n_ctx`, `model` - - `model`: The path to the model loaded with `-m` - - `prompt`: The provided `prompt` - - `stopped_eos`: Indicating whether the completion has stopped because it encountered the EOS token - - `stopped_limit`: Indicating whether the completion stopped because `n_predict` tokens were generated before stop words or EOS was encountered - - `stopped_word`: Indicating whether the completion stopped due to encountering a stopping word from `stop` JSON array provided - - `stopping_word`: The stopping word encountered which stopped the generation (or "" if not stopped due to a stopping word) - - `timings`: Hash of timing information about the completion such as the number of tokens `predicted_per_second` - - `tokens_cached`: Number of tokens from the prompt which could be re-used from previous completion (`n_past`) - - `tokens_evaluated`: Number of tokens evaluated in total from the prompt - - `truncated`: Boolean indicating if the context size was exceeded during generation, i.e. the number of tokens provided in the prompt (`tokens_evaluated`) plus tokens generated (`tokens predicted`) exceeded the context size (`n_ctx`) +``` +{ + "content": "", + "probs": [ + { + "prob": float, + "tok_str": "" + }, + { + "prob": float, + "tok_str": "" + }, + ... + ] +}, +``` +Notice that each `probs` is an array of length `n_probs`. + +- `content`: Completion result as a string (excluding `stopping_word` if any). In case of streaming mode, will contain the next token as a string. +- `stop`: Boolean for use with `stream` to check whether the generation has stopped (Note: This is not related to stopping words array `stop` from input options) +- `generation_settings`: The provided options above excluding `prompt` but including `n_ctx`, `model` +- `model`: The path to the model loaded with `-m` +- `prompt`: The provided `prompt` +- `stopped_eos`: Indicating whether the completion has stopped because it encountered the EOS token +- `stopped_limit`: Indicating whether the completion stopped because `n_predict` tokens were generated before stop words or EOS was encountered +- `stopped_word`: Indicating whether the completion stopped due to encountering a stopping word from `stop` JSON array provided +- `stopping_word`: The stopping word encountered which stopped the generation (or "" if not stopped due to a stopping word) +- `timings`: Hash of timing information about the completion such as the number of tokens `predicted_per_second` +- `tokens_cached`: Number of tokens from the prompt which could be re-used from previous completion (`n_past`) +- `tokens_evaluated`: Number of tokens evaluated in total from the prompt +- `truncated`: Boolean indicating if the context size was exceeded during generation, i.e. the number of tokens provided in the prompt (`tokens_evaluated`) plus tokens generated (`tokens predicted`) exceeded the context size (`n_ctx`) - **POST** `/tokenize`: Tokenize a given text.