id stringlengths 14 16 | text stringlengths 36 2.73k | source stringlengths 59 127 |
|---|---|---|
14c2a1c4ad3b-21 | Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creat... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-22 | Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-23 | eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
Return a map of constructor argument names to secret ids.
eg. {“openai_api_key”: “OPENAI_API_KEY”}
property lc_serializable: bool#
Return whether or not the class is serializable.
pydantic model langchain.llms.AzureOpenAI[source]#
Wrapper around A... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-24 | Adjust the probability of specific tokens being generated.
field max_retries: int = 6#
Maximum number of retries to make when generating.
field max_tokens: int = 256#
The maximum number of tokens to generate in the completion.
-1 returns as many tokens as possible given the prompt and
the models maximal context size.
f... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-25 | Check Cache and run the LLM on the given prompt and input.
async agenerate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, **kwargs: Any) → lang... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-26 | Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creat... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-27 | Get the sub prompts for llm call.
get_token_ids(text: str) → List[int]#
Get the token IDs using the tiktoken package.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-28 | Predict message from messages.
prep_streaming_params(stop: Optional[List[str]] = None) → Dict[str, Any]#
Prepare the params for streaming.
save(file_path: Union[pathlib.Path, str]) → None#
Save the LLM.
Parameters
file_path – Path to file to save the LLM to.
Example:
.. code-block:: python
llm.save(file_path=”path/llm.... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-29 | pydantic model langchain.llms.Banana[source]#
Wrapper around Banana large language models.
To use, you should have the banana-dev python package installed,
and the environment variable BANANA_API_KEY set with your API key.
Any parameters that are valid to be passed to the call can be passed
in, even if not explicitly s... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-30 | Run the LLM on the given prompt and input.
async agenerate_prompt(prompts: List[langchain.schema.PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → langchain.schema.LLMResul... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-31 | deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict#
Return a dictionary of the LLM.
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackMan... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-32 | Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
predict_messages(... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-33 | The required model param can be either a model id or model
version id. Using a model version ID will result in
slightly faster invocation.
Any other model parameters can also
be passed in with the format input={model_param: value, …}
The Baseten model must accept a dictionary of input with the key
“prompt” and return a... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-34 | Predict text from text.
async apredict_messages(messages: List[langchain.schema.BaseMessage], *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → langchain.schema.BaseMessage#
Predict message from messages.
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model#
Creates a new model set... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-35 | Run the LLM on the given prompt and input.
generate_prompt(prompts: List[langchain.schema.PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → langchain.schema.LLMResult#
Take... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-36 | save(file_path: Union[pathlib.Path, str]) → None#
Save the LLM.
Parameters
file_path – Path to file to save the LLM to.
Example:
.. code-block:: python
llm.save(file_path=”path/llm.yaml”)
classmethod update_forward_refs(**localns: Any) → None#
Try to update ForwardRefs on fields based on this Model, globalns and localn... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-37 | memory="32Gi",
gpu="A10G",
python_version="python3.8",
python_packages=[
"diffusers[torch]>=0.10",
"transformers",
"torch",
"pillow",
"accelerate",
"safetensors",
"xformers",],
max_length=50)
llm._deploy()
call_result = llm._call(input)
Validators
... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-38 | Run the LLM on the given prompt and input.
async agenerate_prompt(prompts: List[langchain.schema.PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → langchain.schema.LLMResul... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-39 | the new model: you should trust this data
deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict#
Return a dictionary of the LLM.
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler]... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-40 | Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
predict_messages(... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-41 | To authenticate, the AWS client uses the following methods to
automatically load credentials:
https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
If a specific credential profile should be used, you must pass
the name of the profile from the ~/.aws/credentials file that is to be used.
Make su... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-42 | Check Cache and run the LLM on the given prompt and input.
async agenerate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, **kwargs: Any) → lang... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-43 | Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creat... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-44 | Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-45 | eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
Return a map of constructor argument names to secret ids.
eg. {“openai_api_key”: “OPENAI_API_KEY”}
property lc_serializable: bool#
Return whether or not the class is serializable.
pydantic model langchain.llms.CTransformers[source]#
Wrapper around... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-46 | Check Cache and run the LLM on the given prompt and input.
async agenerate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, **kwargs: Any) → lang... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-47 | Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creat... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-48 | Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-49 | eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
Return a map of constructor argument names to secret ids.
eg. {“openai_api_key”: “OPENAI_API_KEY”}
property lc_serializable: bool#
Return whether or not the class is serializable.
pydantic model langchain.llms.CerebriumAI[source]#
Wrapper around C... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-50 | Check Cache and run the LLM on the given prompt and input.
async agenerate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, **kwargs: Any) → lang... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-51 | Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creat... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-52 | Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-53 | eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
Return a map of constructor argument names to secret ids.
eg. {“openai_api_key”: “OPENAI_API_KEY”}
property lc_serializable: bool#
Return whether or not the class is serializable.
pydantic model langchain.llms.Cohere[source]#
Wrapper around Cohere... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-54 | A non-negative float that tunes the degree of randomness in generation.
field truncate: Optional[str] = None#
Specify how the client handles inputs longer than the maximum token
length: Truncate from START, END or NONE
field verbose: bool [Optional]#
Whether to print out response text.
__call__(prompt: str, stop: Optio... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-55 | Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclu... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-56 | get_num_tokens(text: str) → int#
Get the number of tokens present in the text.
get_num_tokens_from_messages(messages: List[langchain.schema.BaseMessage]) → int#
Get the number of tokens in the message.
get_token_ids(text: str) → List[int]#
Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIn... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-57 | property lc_attributes: Dict#
Return a list of attribute names that should be included in the
serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]#
Return the namespace of the langchain object.
eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-58 | Set cluster_id and cluster_driver_port and do not set endpoint_name.
The expected server schema (using JSON schema) is:
inputs:
{"type": "object",
"properties": {
"prompt": {"type": "string"},
"stop": {"type": "array", "items": {"type": "string"}}},
"required": ["prompt"]}`
outputs: {"type": "string"}
If the ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-59 | or “no isolation shared” mode, the current cluster ID is used as default.
You must not set both endpoint_name and cluster_id.
field endpoint_name: Optional[str] = None#
Name of the model serving endpont.
You must specify the endpoint name to connect to a model serving endpoint.
You must not set both endpoint_name and c... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-60 | Check Cache and run the LLM on the given prompt and input.
async agenerate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, **kwargs: Any) → lang... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-61 | Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creat... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-62 | Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-63 | eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
Return a map of constructor argument names to secret ids.
eg. {“openai_api_key”: “OPENAI_API_KEY”}
property lc_serializable: bool#
Return whether or not the class is serializable.
pydantic model langchain.llms.DeepInfra[source]#
Wrapper around Dee... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-64 | Run the LLM on the given prompt and input.
async agenerate_prompt(prompts: List[langchain.schema.PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → langchain.schema.LLMResul... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-65 | deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict#
Return a dictionary of the LLM.
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackMan... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-66 | Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
predict_messages(... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-67 | field tags: Optional[List[str]] = None#
Tags to add to the run trace.
field verbose: bool [Optional]#
Whether to print out response text.
__call__(prompt: str, stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] =... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-68 | Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-69 | Get the number of tokens present in the text.
get_num_tokens_from_messages(messages: List[langchain.schema.BaseMessage]) → int#
Get the number of tokens in the message.
get_token_ids(text: str) → List[int]#
Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-70 | property lc_attributes: Dict#
Return a list of attribute names that should be included in the
serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]#
Return the namespace of the langchain object.
eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-71 | Total probability mass of tokens to consider at each step.
field verbose: bool [Optional]#
Whether to print out response text.
__call__(prompt: str, stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kw... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-72 | Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-73 | Get the number of tokens present in the text.
get_num_tokens_from_messages(messages: List[langchain.schema.BaseMessage]) → int#
Get the number of tokens in the message.
get_token_ids(text: str) → List[int]#
Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-74 | property lc_attributes: Dict#
Return a list of attribute names that should be included in the
serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]#
Return the namespace of the langchain object.
eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-75 | Return logits for all tokens, not just the last token.
field model: str [Required]#
Path to the pre-trained GPT4All model file.
field n_batch: int = 1#
Batch size for prompt processing.
field n_ctx: int = 512#
Token context window.
field n_parts: int = -1#
Number of parts to split the model into.
If -1, the number of p... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-76 | field vocab_only: bool = False#
Only load the vocabulary, no weights.
__call__(prompt: str, stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → str#
Check Cache and run the LLM on the give... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-77 | Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model#
Duplicate a model, optionally... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-78 | get_num_tokens_from_messages(messages: List[langchain.schema.BaseMessage]) → int#
Get the number of tokens in the message.
get_token_ids(text: str) → List[int]#
Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, Map... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-79 | serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]#
Return the namespace of the langchain object.
eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
Return a map of constructor argument names to secret ids.
eg. {“openai_api_key”: “OPENAI_API_K... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-80 | field verbose: bool [Optional]#
Whether to print out response text.
__call__(prompt: str, stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → str#
Check Cache and run the LLM on the given ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-81 | Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model#
Duplicate a model, optionally... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-82 | get_num_tokens_from_messages(messages: List[langchain.schema.BaseMessage]) → int#
Get the number of tokens in the message.
get_token_ids(text: str) → List[int]#
Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, Map... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-83 | serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]#
Return the namespace of the langchain object.
eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
Return a map of constructor argument names to secret ids.
eg. {“openai_api_key”: “OPENAI_API_K... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-84 | Holds any model parameters valid for create call not explicitly specified.
field model_name: str = 'gpt-neo-20b'#
Model name to use
field n: int = 1#
How many completions to generate for each prompt.
field presence_penalty: float = 0#
Penalizes repeated tokens.
field tags: Optional[List[str]] = None#
Tags to add to the... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-85 | Take in a list of prompt values and return an LLMResult.
async apredict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
async apredict_messages(messages: List[langchain.schema.BaseMessage], *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → langchain.schema.BaseM... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-86 | dict(**kwargs: Any) → Dict#
Return a dictionary of the LLM.
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, **kwargs: Any) → langchain.... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-87 | predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
predict_messages(messages: List[langchain.schema.BaseMessage], *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → langchain.schema.BaseMessage#
Predict message from messages.
save(file_path: Union[pathlib.Pa... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-88 | Example
from langchain.llms import HuggingFaceEndpoint
endpoint_url = (
"https://abcdefghijklmnop.us-east-1.aws.endpoints.huggingface.cloud"
)
hf = HuggingFaceEndpoint(
endpoint_url=endpoint_url,
huggingfacehub_api_token="my-api-key"
)
Validators
raise_deprecation » all fields
set_verbose » verbose
validate... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-89 | Run the LLM on the given prompt and input.
async agenerate_prompt(prompts: List[langchain.schema.PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → langchain.schema.LLMResul... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-90 | deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict#
Return a dictionary of the LLM.
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackMan... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-91 | Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
predict_messages(... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-92 | environment variable HUGGINGFACEHUB_API_TOKEN set with your API token, or pass
it as a named parameter to the constructor.
Only supports text-generation, text2text-generation and summarization for now.
Example
from langchain.llms import HuggingFaceHub
hf = HuggingFaceHub(repo_id="gpt2", huggingfacehub_api_token="my-api... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-93 | Run the LLM on the given prompt and input.
async agenerate_prompt(prompts: List[langchain.schema.PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → langchain.schema.LLMResul... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-94 | deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict#
Return a dictionary of the LLM.
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackMan... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-95 | Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
predict_messages(... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-96 | Only supports text-generation, text2text-generation and summarization for now.
Example using from_model_id:from langchain.llms import HuggingFacePipeline
hf = HuggingFacePipeline.from_model_id(
model_id="gpt2",
task="text-generation",
pipeline_kwargs={"max_new_tokens": 10},
)
Example passing pipeline in dir... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-97 | Check Cache and run the LLM on the given prompt and input.
async agenerate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, **kwargs: Any) → lang... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-98 | Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creat... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-99 | Get the number of tokens in the message.
get_token_ids(text: str) → List[int]#
Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = No... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-100 | property lc_namespace: List[str]#
Return the namespace of the langchain object.
eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
Return a map of constructor argument names to secret ids.
eg. {“openai_api_key”: “OPENAI_API_KEY”}
property lc_serializable: bool#
Return whether or not the class is s... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-101 | Tags to add to the run trace.
field verbose: bool [Optional]#
Whether to print out response text.
__call__(prompt: str, stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → str#
Check Cache... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-102 | Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-103 | Get the number of tokens present in the text.
get_num_tokens_from_messages(messages: List[langchain.schema.BaseMessage]) → int#
Get the number of tokens in the message.
get_token_ids(text: str) → List[int]#
Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-104 | property lc_attributes: Dict#
Return a list of attribute names that should be included in the
serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]#
Return the namespace of the langchain object.
eg. [“langchain”, “llms”, “openai”]
property lc_secrets: Dict[str, str]#
... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-105 | Run the LLM on the given prompt and input.
async agenerate_prompt(prompts: List[langchain.schema.PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → langchain.schema.LLMResul... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-106 | deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict#
Return a dictionary of the LLM.
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackMan... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-107 | Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
predict_messages(... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-108 | path to the Llama model as a named parameter to the constructor.
Check out: abetlen/llama-cpp-python
Example
from langchain.llms import LlamaCppEmbeddings
llm = LlamaCppEmbeddings(model_path="/path/to/llama/model")
Validators
raise_deprecation » all fields
set_verbose » verbose
validate_environment » all fields
field e... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-109 | field n_parts: int = -1#
Number of parts to split the model into.
If -1, the number of parts is automatically determined.
field n_threads: Optional[int] = None#
Number of threads to use.
If None, the number of threads is automatically determined.
field repeat_penalty: Optional[float] = 1.1#
The penalty to apply to repe... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-110 | Check Cache and run the LLM on the given prompt and input.
async agenerate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, **kwargs: Any) → lang... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-111 | Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creat... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-112 | Get the token present in the text.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-113 | It also calls the callback manager’s on_llm_new_token event with
similar parameters to the OpenAI LLM class method of the same name.
Args:prompt: The prompts to pass into the model.
stop: Optional list of stop words to use when generating.
Returns:A generator representing the stream of tokens being generated.
Yields:A ... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-114 | To use, you should have the modal-client python package installed.
Any parameters that are valid to be passed to the call can be passed
in, even if not explicitly saved on this class.
Example
from langchain.llms import Modal
modal = Modal(endpoint_url="")
Validators
build_extra » all fields
raise_deprecation » all fiel... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-115 | Take in a list of prompt values and return an LLMResult.
async apredict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
async apredict_messages(messages: List[langchain.schema.BaseMessage], *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → langchain.schema.BaseM... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-116 | dict(**kwargs: Any) → Dict#
Return a dictionary of the LLM.
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, **kwargs: Any) → langchain.... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-117 | predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str#
Predict text from text.
predict_messages(messages: List[langchain.schema.BaseMessage], *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → langchain.schema.BaseMessage#
Predict message from messages.
save(file_path: Union[pathlib.Pa... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-118 | )
mosaic_llm = MosaicML(
endpoint_url=endpoint_url,
mosaicml_api_token="my-api-key"
)
Validators
raise_deprecation » all fields
set_verbose » verbose
validate_environment » all fields
field endpoint_url: str = 'https://models.hosted-on.mosaicml.hosting/mpt-7b-instruct/v1/predict'#
Endpoint URL to use.
field inj... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-119 | Run the LLM on the given prompt and input.
async agenerate_prompt(prompts: List[langchain.schema.PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]] = None, **kwargs: Any) → langchain.schema.LLMResul... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
14c2a1c4ad3b-120 | deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict#
Return a dictionary of the LLM.
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackMan... | rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/llms.html |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.