Running Local LLMs with 'llama.cpp' Backend

Documentation for package ‘localLLM’ version 1.0.1

localLLM-package	R Interface to llama.cpp with Runtime Library Loading
ag_news_sample	AG News classification sample
apply_chat_template	Apply Chat Template to Format Conversations
apply_gemma_chat_template	Apply Gemma-Compatible Chat Template
backend_free	Free localLLM backend
backend_init	Initialize localLLM backend
context_create	Create Inference Context for Text Generation
detokenize	Convert Token IDs Back to Text
download_model	Download a model manually
generate	Generate Text Using Language Model Context
generate_parallel	Generate Text in Parallel for Multiple Prompts
get_lib_path	Get Backend Library Path
get_model_cache_dir	Get the model cache directory
install_localLLM	Install localLLM Backend Library
lib_is_installed	Check if Backend Library is Installed
list_cached_models	List cached models on disk
localLLM	R Interface to llama.cpp with Runtime Library Loading
model_load	Load Language Model with Automatic Download Support
quick_llama	Quick LLaMA Inference
quick_llama_reset	Reset quick_llama state
set_hf_token	Configure Hugging Face access token
smart_chat_template	Smart Chat Template Application
tokenize	Convert Text to Token IDs
tokenize_test	Test tokenize function (debugging)