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return all best of sequences

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This commit is contained in:
Krrish Dholakia 2023-09-20 14:43:25 -07:00
parent 93c41e8f6d
commit c63db48652
5 changed files with 41 additions and 12 deletions
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34
litellm/llms/huggingface_restapi.py
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@ -5,7 +5,7 @@ from enum import Enum
import requests
import time
from typing import Callable
from litellm.utils import ModelResponse
from litellm.utils import ModelResponse, Choices, Message
from typing import Optional
from .prompt_templates.factory import prompt_factory, custom_prompt
@ -173,16 +173,28 @@ def completion(
"content"
] = completion_response["generated_text"]
elif task == "text-generation-inference":
model_response["choices"][0]["message"][
"content"
] = completion_response[0]["generated_text"]
## GETTING LOGPROBS + FINISH REASON
if "details" in completion_response[0] and "tokens" in completion_response[0]["details"]:
model_response.choices[0].finish_reason = completion_response[0]["details"]["finish_reason"]
sum_logprob = 0
for token in completion_response[0]["details"]["tokens"]:
sum_logprob += token["logprob"]
model_response["choices"][0]["message"]["logprobs"] = sum_logprob
if "best_of" in optional_params and optional_params["best_of"] > 1:
if "details" in completion_response[0] and "best_of_sequences" in completion_response[0]["details"]:
choices_list = []
for idx, item in enumerate(completion_response[0]["details"]["best_of_sequences"]):
sum_logprob = 0
for token in item["tokens"]:
sum_logprob += token["logprob"]
message_obj = Message(content=item["generated_text"], logprobs=sum_logprob)
choice_obj = Choices(finish_reason=item["finish_reason"], index=idx, message=message_obj)
choices_list.append(choice_obj)
model_response["choices"] = choices_list
else:
model_response["choices"][0]["message"][
"content"
] = completion_response[0]["generated_text"]
## GETTING LOGPROBS + FINISH REASON
if "details" in completion_response[0] and "tokens" in completion_response[0]["details"]:
model_response.choices[0].finish_reason = completion_response[0]["details"]["finish_reason"]
sum_logprob = 0
for token in completion_response[0]["details"]["tokens"]:
sum_logprob += token["logprob"]
model_response["choices"][0]["message"]["logprobs"] = sum_logprob
else:
model_response["choices"][0]["message"]["content"] = completion_response[0]["generated_text"]
## CALCULATING USAGE