Update CTransformersComponent build_config() method
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1 changed files with 5 additions and 35 deletions
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@ -11,46 +11,16 @@ class CTransformersComponent(CustomComponent):
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def build_config(self):
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return {
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"model": {"display_name": "Model", "required": True},
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"model_file": {"display_name": "Model File", "required": False},
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"model_type": {"display_name": "Model Type", "required": False},
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"model_file": {"display_name": "Model File", "required": False,"field_type":"file", "file_types":[".bin"]},
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"model_type": {"display_name": "Model Type", "required": True},
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"config": {"display_name": "Config", "advanced": True, "required": False,"field_type":"dict","value":'{"top_k":40,"top_p":0.95,"temperature":0.8,"repetition_penalty":1.1,"last_n_tokens":64,"seed":-1,"max_new_tokens":256,"stop":"","stream":"False","reset":"True","batch_size":8,"threads":-1,"context_length":-1,"gpu_layers":0}'}
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}
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def build(
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self,
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model: str,
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model_file: Optional[str] = None,
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model_type: Optional[str] = None,
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model_file: str,
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model_type: str,
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config: Optional[Dict] = None
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) -> CTransformers:
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# Default config values
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default_config = {
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"top_k": 40,
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"top_p": 0.95,
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"temperature": 0.8,
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"repetition_penalty": 1.1,
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"last_n_tokens": 64,
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"seed": -1,
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"max_new_tokens": 256,
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"stop": None,
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"stream": False,
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"reset": True,
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"batch_size": 8,
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"threads": -1,
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"context_length": -1,
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"gpu_layers": 0
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}
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# If there is a custom config, update the default config with it
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if config:
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default_config.update(config)
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# Assuming the import below is correct and CTransformers is a class within the langchain library
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# that inherits from BaseLanguageModel. The following import statement is required:
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# from langchain.llms.integration_module import CTransformers
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return CTransformers(model=model, model_file=model_file, model_type=model_type, config=default_config)
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# Note: The actual CTransformers class needs to be imported from the correct module inside the langchain library.
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# The `integration_module` in the import statement is just a placeholder and should be replaced with
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# the actual module where the CTransformers class is located.
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return CTransformers(model=model, model_file=model_file, model_type=model_type, config=config)
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