Makes local LLMs faster and more reliable by optimizing for your device
autotune frees 300+ MB of RAM per request and cuts response time by up to 53%. Drop-in wrapper for Ollama. One pip install, no config. Time to first token is 39% faster Agent wall times decrease by 46% No swaps Tracks your resource usage in real-time and adjusts how the model runs so that it works perfectly on your device.
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Timber
github.comOllama for classical ML models, 336x faster than Python
Finetune Llama-3.1 2x faster in a Colab
colab.research.google.comJust added Llama-3.1 support!
Finetune Llama-3 2x faster in a Colab notebook
colab.research.google.comLlm.sql
news.ycombinator.comRun a 640MB LLM on SQLite, with 210MB peak RSS and 7.4 tok/s
Rapid-MLX
github.comRun local LLMs on Mac, 2-3x faster than alternatives