Namespace LMKit.Model

Classes

LM

Provides a unified manager for AI model instances, including small and large language models, embedding models, and vision‐language models, across GGUF, ONNX, and LMK container formats. This class handles downloading, loading, configuring, and interacting with these models, ensuring a consistent API for text generation, embeddings, and multimodal inference.

LM.DeviceConfiguration

Handles the underlying model device configuration, including GPU settings and memory management options.

LM.LoadingOptions

Represents options for loading a model, allowing customization of the loading process.

LM.Metadata

Represents metadata information associated with a model.

LM.MetadataCollection

Represents a collection of Metadata objects.

LM.TensorDistribution

Represents the distribution of model layers or rows across multiple GPUs.

ModelCard

Represents metadata and attributes for a language model in the LM-Kit library.

Enums

LM.Precision

Represents the different precision types for LM models.

LM.RopeType

Specifies the type of rope algorithm used for positional encoding in models.

LM.TemplateFormat

Defines the possible formats for model chat templates, indicating specific structures and encoding standards used for chatbot interactions.

LM.TemplateFormatFlags

Specifies flags that control how template formats handle system messages and suffixes when generating prompts for language models.

ModelCapabilities

Represents the various purposes a model can serve in the LM-Kit library. The Flags attribute allows combining multiple capabilities using bitwise operations.

Delegates

LM.ModelDownloadingProgressCallback

A delegate designed to monitor and report the progress of model downloading.

LM.ModelLoadingProgressCallback

A delegate designed to monitor and report the progress of model loading.