R: Local Large Language Model Inference Engine

# Local Large Language Model Inference Engine

## Documentation for package ‘edgemodelr’ version 0.2.0

- DESCRIPTION file
- Package NEWS

## Help Pages

build_chat_prompt | Build chat prompt from conversation history
edge_benchmark | Performance benchmarking for model inference
edge_cache_info | Cache size information
edge_chat_stream | Interactive chat session with streaming responses
edge_clean_cache | Clean up cache directory and manage storage
edge_completion | Generate text completion using loaded model
edge_download_model | Download a GGUF model from Hugging Face
edge_download_url | Download a model from a direct URL
edge_find_gguf_models | Find and prepare GGUF models for use with edgemodelr
edge_find_ollama_models | Find and load Ollama models
edge_free_model | Free model context and release memory
edge_list_models | List popular pre-configured models
edge_load_model | Load a local GGUF model for inference
edge_load_ollama_model | Load an Ollama model by partial SHA-256 hash
edge_quick_setup | Quick setup for a popular model
edge_set_verbose | Control llama.cpp logging verbosity
edge_simd_info | Query SIMD optimization status
edge_small_model_config | Get optimized configuration for small language models
edge_stream_completion | Stream text completion with real-time token generation
is_valid_model | Check if model context is valid
test_ollama_model_compatibility | Test if an Ollama model blob can be used with edgemodelr