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Model: Disable banned strings if grammar is used

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ExllamaV2 filters don't allow for rewinding which is what banned
strings uses. Therefore, constrained generation via LMFE or outlines
is not compatible for now.

Signed-off-by: kingbri <bdashore3@proton.me>
This commit is contained in:
kingbri
2024-08-05 11:08:58 -04:00
parent 34281c2e14
commit 63650d2c3c
1 changed files with 30 additions and 21 deletions
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51
backends/exllamav2/model.py
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@@ -1018,8 +1018,37 @@ class ExllamaV2Container:
kwargs.get("repetition_decay"), fallback_decay, 0
)
stop_conditions: List[Union[str, int]] = unwrap(kwargs.get("stop"), [])
# Initialize grammar handler
grammar_handler = ExLlamaV2Grammar()
# Add JSON schema filter if it exists
json_schema = unwrap(kwargs.get("json_schema"))
if json_schema:
grammar_handler.add_json_schema_filter(
json_schema, self.model, self.tokenizer
)
# Add regex filter if it exists
regex_pattern = unwrap(kwargs.get("regex_pattern"))
if regex_pattern:
grammar_handler.add_regex_filter(regex_pattern, self.tokenizer)
# Add EBNF filter if it exists
grammar_string = unwrap(kwargs.get("grammar_string"))
if grammar_string:
grammar_handler.add_ebnf_filter(grammar_string, self.model, self.tokenizer)
# Set banned strings
banned_strings: List[str] = unwrap(kwargs.get("banned_strings"), [])
if banned_strings and len(grammar_handler.filters) > 0:
logger.warning(
"Disabling banned_strings because "
"they cannot be used with grammar filters."
)
banned_strings = []
stop_conditions: List[Union[str, int]] = unwrap(kwargs.get("stop"), [])
add_bos_token = unwrap(kwargs.get("add_bos_token"), True)
ban_eos_token = unwrap(kwargs.get("ban_eos_token"), False)
logit_bias = kwargs.get("logit_bias")
@@ -1067,26 +1096,6 @@ class ExllamaV2Container:
"in the model's vocab. Skipping."
)
# Initialize grammar handler
grammar_handler = ExLlamaV2Grammar()
# Add JSON schema filter if it exists
json_schema = unwrap(kwargs.get("json_schema"))
if json_schema:
grammar_handler.add_json_schema_filter(
json_schema, self.model, self.tokenizer
)
# Add regex filter if it exists
regex_pattern = unwrap(kwargs.get("regex_pattern"))
if regex_pattern:
grammar_handler.add_regex_filter(regex_pattern, self.tokenizer)
# Add EBNF filter if it exists
grammar_string = unwrap(kwargs.get("grammar_string"))
if grammar_string:
grammar_handler.add_ebnf_filter(grammar_string, self.model, self.tokenizer)
# Fetch EOS tokens from generation_config if they exist
eos_tokens = (
self.generation_config.eos_tokens()