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Add support for logit bias (#697)

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Karim Elmaaroufi 2024-04-21 06:53:56 -07:00 committed by GitHub
parent 6abdbe3be8
commit 1484598de1
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2 changed files with 6 additions and 0 deletions
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2
llms/mlx_lm/server.py
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@ -128,6 +128,7 @@ class APIHandler(BaseHTTPRequestHandler):
self.top_p = self.body.get("top_p", 1.0) self.top_p = self.body.get("top_p", 1.0)
self.repetition_penalty = self.body.get("repetition_penalty", 1.0) self.repetition_penalty = self.body.get("repetition_penalty", 1.0)
self.repetition_context_size = self.body.get("repetition_context_size", 20) self.repetition_context_size = self.body.get("repetition_context_size", 20)
self.logit_bias = self.body.get("logit_bias", None)
# Get stop id sequences, if provided # Get stop id sequences, if provided
stop_words = self.body.get("stop", []) stop_words = self.body.get("stop", [])
@ -247,6 +248,7 @@ class APIHandler(BaseHTTPRequestHandler):
top_p=self.top_p, top_p=self.top_p,
repetition_penalty=self.repetition_penalty, repetition_penalty=self.repetition_penalty,
repetition_context_size=self.repetition_context_size, repetition_context_size=self.repetition_context_size,
logit_bias=self.logit_bias,
), ),
range(self.max_tokens), range(self.max_tokens),
): ):

4
llms/mlx_lm/utils.py
View File

@ -117,6 +117,7 @@ def generate_step(
repetition_penalty: Optional[float] = None, repetition_penalty: Optional[float] = None,
repetition_context_size: Optional[int] = 20, repetition_context_size: Optional[int] = 20,
top_p: float = 1.0, top_p: float = 1.0,
logit_bias: Optional[Dict[int, float]] = None,
) -> Generator[Tuple[mx.array, mx.array], None, None]: ) -> Generator[Tuple[mx.array, mx.array], None, None]:
""" """
A generator producing text based on the given prompt from the model. A generator producing text based on the given prompt from the model.
@ -135,6 +136,7 @@ def generate_step(
""" """
def sample(logits: mx.array) -> Tuple[mx.array, float]: def sample(logits: mx.array) -> Tuple[mx.array, float]:
logits = logits + logit_bias if logit_bias else logits
softmax_logits = mx.softmax(logits) softmax_logits = mx.softmax(logits)
if temp == 0: if temp == 0:
@ -203,6 +205,7 @@ def generate(
repetition_penalty: Optional[float] = None, repetition_penalty: Optional[float] = None,
repetition_context_size: Optional[int] = None, repetition_context_size: Optional[int] = None,
top_p: float = 1.0, top_p: float = 1.0,
logit_bias: Optional[Dict[int, float]] = None,
) -> str: ) -> str:
""" """
Generate text from the model. Generate text from the model.
@ -241,6 +244,7 @@ def generate(
repetition_penalty, repetition_penalty,
repetition_context_size, repetition_context_size,
top_p, top_p,
logit_bias,
), ),
range(max_tokens), range(max_tokens),
): ):