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Optimizing the performance of think length limit using custom operators (#4279)
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Browse Source 
* delete impl

* delete min_length&max_length

* support limit thinking content strategy

* fix

* fix

* fix

* update

* fix set_value_by_flags_and_idx

* fix

* fix

* fix

* fix

* update

* fix

* fix

* fix typo

* fix ci

* fix

* fix

* support mtp

* fix

* fix

* update

* update
This commit is contained in:
Yuanle Liu
2025-10-20 21:09:13 +08:00
committed by GitHub
parent 36af88ff3f
commit cef3164c3b
31 changed files with 747 additions and 1032 deletions
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4
docs/usage/environment_variables.md
View File

@@ -80,11 +80,13 @@ environment_variables: dict[str, Callable[[], Any]] = {
# Whether to use Machete for wint4 dense GEMM.
"FD_USE_MACHETE": lambda: os.getenv("FD_USE_MACHETE", "0"),
# Used to truncate the string inserted during thinking when reasoning in a model. (</think> for ernie4_5_vl, \n</think>\n\n for ernie_x1)
"FD_LIMIT_THINKING_CONTENT_TRUNCATE_STR": lambda: os.getenv("FD_LIMIT_THINKING_CONTENT_TRUNCATE_STR", "</think>"),
# Timeout for cache_transfer_manager process exit
"FD_CACHE_PROC_EXIT_TIMEOUT": lambda: int(os.getenv("FD_CACHE_PROC_EXIT_TIMEOUT", "600")),
# Count for cache_transfer_manager process error
"FD_CACHE_PROC_ERROR_COUNT": lambda: int(os.getenv("FD_CACHE_PROC_ERROR_COUNT", "10")),
}
```