llama-swap dual-specialist setup: Dockerfile

build: use prebuilt llama.cpp CPU binary (b9895) instead of source compile — fixes mtmd OOM hang, ~20x faster build

build: pull model at container runtime instead of baking into image (faster/reliable build)

v2.0: single-instance CPU proxy, native OpenAI tools+streaming, flash-attn+q4_0 KV, all-cores

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Fix: Skip Python bindings if directory doesn't exist

Fix llama.cpp build with CMake

Fix pip install with --break-system-packages

Update Dockerfile for 2-instance build

Upload gemma-inference space

Upload gemma-inference space