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https://github.com/theroyallab/tabbyAPI.git
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bc21f0bbc0
Repetition penalty range needs field aliases to support multiple parameter calls. Signed-off-by: kingbri <bdashore3@proton.me>
95 lines
3.9 KiB
Python
95 lines
3.9 KiB
Python
from pydantic import BaseModel, Field, AliasChoices
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from typing import List, Dict, Optional, Union
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from utils import unwrap
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class LogProbs(BaseModel):
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text_offset: List[int] = Field(default_factory=list)
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token_logprobs: List[float] = Field(default_factory=list)
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tokens: List[str] = Field(default_factory=list)
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top_logprobs: List[Dict[str, float]] = Field(default_factory=list)
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class UsageStats(BaseModel):
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prompt_tokens: int
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completion_tokens: int
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total_tokens: int
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class CommonCompletionRequest(BaseModel):
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# Model information
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# This parameter is not used, the loaded model is used instead
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model: Optional[str] = None
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# Extra OAI request stuff
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best_of: Optional[int] = Field(description = "Not parsed. Only used for OAI compliance.", default = None)
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echo: Optional[bool] = Field(description = "Not parsed. Only used for OAI compliance.", default = False)
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logit_bias: Optional[Dict[str, float]] = Field(description = "Not parsed. Only used for OAI compliance.", default = None)
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logprobs: Optional[int] = Field(description = "Not parsed. Only used for OAI compliance.", default = None)
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n: Optional[int] = Field(description = "Not parsed. Only used for OAI compliance.", default = 1)
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suffix: Optional[str] = Field(description = "Not parsed. Only used for OAI compliance.", default = None)
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user: Optional[str] = Field(description = "Not parsed. Only used for OAI compliance.", default = None)
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# Generation info
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# seed: Optional[int] = -1
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stream: Optional[bool] = False
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stop: Optional[Union[str, List[str]]] = []
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# Default to 150 as 16 makes no sense as a default
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max_tokens: Optional[int] = 150
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# Aliased to repetition_penalty
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# TODO: Maybe make this an alias to rep pen
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frequency_penalty: Optional[float] = Field(description = "Aliased to Repetition Penalty", default = 0.0)
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# Sampling params
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token_healing: Optional[bool] = False
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temperature: Optional[float] = 1.0
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temperature_last: Optional[bool] = False
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top_k: Optional[int] = 0
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top_p: Optional[float] = 1.0
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typical: Optional[float] = 1.0
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min_p: Optional[float] = 0.0
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tfs: Optional[float] = 1.0
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repetition_penalty: Optional[float] = 1.0
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repetition_decay: Optional[int] = 0
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mirostat_mode: Optional[int] = 0
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mirostat_tau: Optional[float] = 1.5
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mirostat_eta: Optional[float] = 0.1
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add_bos_token: Optional[bool] = True
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ban_eos_token: Optional[bool] = False
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# Aliased variables
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repetition_range: Optional[int] = Field(
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default = None,
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validation_alias = AliasChoices('repetition_range', 'repetition_penalty_range')
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)
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# Converts to internal generation parameters
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def to_gen_params(self):
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# Convert stop to an array of strings
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if isinstance(self.stop, str):
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self.stop = [self.stop]
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# Set repetition_penalty to frequency_penalty if repetition_penalty isn't already defined
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if (self.repetition_penalty is None or self.repetition_penalty == 1.0) and self.frequency_penalty:
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self.repetition_penalty = self.frequency_penalty
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return {
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"stop": self.stop,
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"max_tokens": self.max_tokens,
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"add_bos_token": self.add_bos_token,
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"ban_eos_token": self.ban_eos_token,
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"token_healing": self.token_healing,
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"temperature": self.temperature,
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"temperature_last": self.temperature_last,
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"top_k": self.top_k,
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"top_p": self.top_p,
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"typical": self.typical,
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"min_p": self.min_p,
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"tfs": self.tfs,
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"repetition_penalty": self.repetition_penalty,
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"repetition_range": unwrap(self.repetition_range, -1),
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"repetition_decay": self.repetition_decay,
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"mirostat": self.mirostat_mode == 2,
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"mirostat_tau": self.mirostat_tau,
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"mirostat_eta": self.mirostat_eta,
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}
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