llama_model_info: Get model metadata

In llamaR: Interface for Large Language Models via 'llama.cpp'

Get model metadata

Description

Get model metadata

Usage

llama_model_info(model)

Arguments

model

Model handle returned by [llama_load_model]

Value

A named list with fields: - 'n_ctx_train': context size the model was trained with - 'n_embd': embedding dimension - 'n_vocab': vocabulary size - 'n_layer': number of layers - 'n_head': number of attention heads - 'n_head_kv': number of key-value attention heads (GQA) - 'desc': human-readable model description string - 'size': model size in bytes - 'n_params': number of parameters - 'has_encoder': whether the model has an encoder - 'has_decoder': whether the model has a decoder - 'is_recurrent': whether the model is recurrent (e.g. Mamba)

Examples

## Not run: 
model <- llama_load_model("model.gguf")
info <- llama_model_info(model)
cat("Model:", info$desc, "\n")
cat("Layers:", info$n_layer, "\n")
cat("Context:", info$n_ctx_train, "\n")
cat("Size:", info$size / 1e9, "GB\n")

## End(Not run)

llamaR documentation built on May 28, 2026, 1:06 a.m.