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upgrade: vllm==0.10.2 #246

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Merged
junya-takayama merged 5 commits into from
Sep 22, 2025
Merged

upgrade: vllm==0.10.2 #246

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90d094d
Merge branch 'main' of github.com:sbintuitions/flexeval
junya-takayama Sep 8, 2025
2b2ebc8
upgrade: vllm==0.10.1.1
junya-takayama Sep 10, 2025
d4fcf64
use vllm==0.10.2
junya-takayama Sep 22, 2025
f9fe3ab
Adapting to interface changes in LLM.generate()
junya-takayama Sep 22, 2025
7e38325
Avoid passing as a keyword argument
junya-takayama Sep 22, 2025
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10 changes: 6 additions & 4 deletions flexeval/core/language_model/vllm_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -187,15 +187,16 @@ def _batch_complete_text(
)

from vllm import RequestOutput, SamplingParams
from vllm.inputs import TokensPrompt

prompt_token_ids: list[list[int]] = model_inputs.input_ids
batch_prompt_token_ids: list[list[int]] = model_inputs.input_ids
sampling_params: list[SamplingParams] = []
skip_flag_list: list[bool] = []
for i, input_ids in enumerate(model_inputs.input_ids):
remaining = self.model_limit_tokens - len(input_ids)
instance_gen_kwargs = gen_kwargs.copy()
if remaining <= 0:
prompt_token_ids[i] = input_ids[:1]
batch_prompt_token_ids[i] = input_ids[:1]
instance_gen_kwargs["max_tokens"] = 1
msg = (
f"Received input that is longer than `model_limit_tokens = {self.model_limit_tokens}`. "
Expand All @@ -208,7 +209,7 @@ def _batch_complete_text(
skip_flag_list.append(remaining <= 0)

vllm_outputs: list[RequestOutput] = self.llm.generate(
prompt_token_ids=prompt_token_ids,
[TokensPrompt(prompt_token_ids=prompt_token_ids) for prompt_token_ids in batch_prompt_token_ids],
sampling_params=sampling_params,
use_tqdm=False,
)
Expand Down Expand Up @@ -309,6 +310,7 @@ def _batch_compute_log_probs(
sequence_length = max([len(input_ids) for input_ids in batch_input_ids])

from vllm import RequestOutput, SamplingParams
from vllm.inputs import TokensPrompt
from vllm.sequence import Logprob

sampling_params = SamplingParams(temperature=0.0, max_tokens=1, prompt_logprobs=1)
Expand All @@ -323,7 +325,7 @@ def _batch_compute_log_probs(
for chunk_input_ids in chunk_batch_input_ids
]
chunk_batch_outputs: list[RequestOutput] = self.llm.generate(
prompt_token_ids=chunk_batch_input_ids,
[TokensPrompt(prompt_token_ids=prompt_token_ids) for prompt_token_ids in chunk_batch_input_ids],
sampling_params=sampling_params,
use_tqdm=False,
)
Expand Down
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