requirements.txt

# torch is deliberately NOT pinned or listed.
#
# On ZeroGPU the CUDA build must match the platform's driver, and the Space image already provides
# a matching one; asking pip for a different torch - in particular the cpu-only wheel that keeps a
# non-GPU Space small - is the usual way a Space that works in a notebook fails on hardware.
#
# gradio is absent for the same class of reason: the Space installs the version pinned as
# `sdk_version` in README.md, and listing it here as well is how the two end up disagreeing.
# Leaving it unpinned in both places is what broke the first deploy - HF fell back to a gradio 3.x
# default with no `show_copy_button`.
#
# llama-cpp-python is deliberately ABSENT, and the CPU runtime in `mimo.py` is therefore dormant
# on this Space. Both ways of installing it were tried and both fail here:
#
#   1. abetlen's prebuilt wheel index. Those wheels are tagged plain `linux_x86_64` rather than
#      `manylinux`, and they are linked against musl. pip installs one happily and then every
#      import dies with `libc.musl-x86_64.so.1: cannot open shared object file`, because a Space
#      runs on glibc.
#   2. the PyPI sdist, which is the only other option since PyPI publishes no binary wheel at all.
#      Compiling llama.cpp from source exceeded the Space build limit outright: `Job timeout`.
#
# The code path stays in `mimo.py` so the app still runs on a machine that does have a working
# llama.cpp, but nothing here installs one. On this Space the GPU path is the only runtime, which
# is also the one that reproduces Part B exactly - so the loss is a fallback, not a capability.

spaces                    # the @spaces.GPU decorator; ZeroGPU refuses to serve a Space without one
transformers>=4.45
accelerate                # device_map for the 4-bit load
bitsandbytes              # the NF4 quantisation Part B measured
sentencepiece
einops                    # nomic-embed-v1.5's remote code imports it
sentence-transformers>=3.0
huggingface_hub>=0.23
numpy
pandas
pyarrow                   # read the Part A embedding index