To use this model you need to have the node-llama-cpp module installed. This can be installed using npm install -S node-llama-cpp and the minimum version supported in version 2.0.0. This also requires that have a locally built version of Llama2 installed.

Example

// Initialize the ChatLlamaCpp model with the path to the model binary file.
const model = new ChatLlamaCpp({
modelPath: "/Replace/with/path/to/your/model/gguf-llama2-q4_0.bin",
temperature: 0.5,
});

// Call the model with a message and await the response.
const response = await model.call([
new HumanMessage({ content: "My name is John." }),
]);

// Log the response to the console.
console.log({ response });

Hierarchy

Constructors

Properties

CallOptions: LlamaCppCallOptions
ParsedCallOptions: Omit<LlamaCppCallOptions, never>
caller: AsyncCaller

The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.

verbose: boolean

Whether to print out response text.

callbacks?: Callbacks
maxTokens?: number
metadata?: Record<string, unknown>
tags?: string[]
temperature?: number
topK?: number
topP?: number
trimWhitespaceSuffix?: boolean

Accessors

  • get callKeys(): string[]
  • Keys that the language model accepts as call options.

    Returns string[]

Methods

  • Makes a single call to the chat model.

    Parameters

    • messages: BaseMessageLike[]

      An array of BaseMessage instances.

    • Optional options: string[] | LlamaCppCallOptions

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<BaseMessage>

    A Promise that resolves to a BaseMessage.

  • Makes a single call to the chat model with a prompt value.

    Parameters

    • promptValue: BasePromptValue

      The value of the prompt.

    • Optional options: string[] | LlamaCppCallOptions

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<BaseMessage>

    A Promise that resolves to a BaseMessage.

  • Generates chat based on the input messages.

    Parameters

    • messages: BaseMessageLike[][]

      An array of arrays of BaseMessage instances.

    • Optional options: string[] | LlamaCppCallOptions

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<LLMResult>

    A Promise that resolves to an LLMResult.

  • Generates a prompt based on the input prompt values.

    Parameters

    • promptValues: BasePromptValue[]

      An array of BasePromptValue instances.

    • Optional options: string[] | LlamaCppCallOptions

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<LLMResult>

    A Promise that resolves to an LLMResult.

  • Parameters

    Returns Promise<number>

  • Get the parameters used to invoke the model

    Returns {
        maxTokens: undefined | number;
        temperature: undefined | number;
        topK: undefined | number;
        topP: undefined | number;
        trimWhitespaceSuffix: undefined | boolean;
    }

    • maxTokens: undefined | number
    • temperature: undefined | number
    • topK: undefined | number
    • topP: undefined | number
    • trimWhitespaceSuffix: undefined | boolean
  • Create a new runnable sequence that runs each individual runnable in series, piping the output of one runnable into another runnable or runnable-like.

    Type Parameters

    • NewRunOutput

    Parameters

    Returns RunnableSequence<BaseLanguageModelInput, Exclude<NewRunOutput, Error>>

    A new runnable sequence.

  • Predicts the next message based on a text input.

    Parameters

    • text: string

      The text input.

    • Optional options: string[] | LlamaCppCallOptions

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<string>

    A Promise that resolves to a string.

  • Predicts the next message based on the input messages.

    Parameters

    • messages: BaseMessage[]

      An array of BaseMessage instances.

    • Optional options: string[] | LlamaCppCallOptions

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<BaseMessage>

    A Promise that resolves to a BaseMessage.

  • Stream all output from a runnable, as reported to the callback system. This includes all inner runs of LLMs, Retrievers, Tools, etc. Output is streamed as Log objects, which include a list of jsonpatch ops that describe how the state of the run has changed in each step, and the final state of the run. The jsonpatch ops can be applied in order to construct state.

    Parameters

    Returns AsyncGenerator<RunLogPatch, any, unknown>

  • Default implementation of transform, which buffers input and then calls stream. Subclasses should override this method if they can start producing output while input is still being generated.

    Parameters

    Returns AsyncGenerator<BaseMessageChunk, any, unknown>

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