mirror/LocalAI

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localai-org-maint-bot 9ac8bfcdd0 fix(vllm): restore CPU torch build

The CPU requirements were updated to an XPU-only torch wheel, which cannot resolve from the configured CPU index and also breaks vLLM's pinned CPU wheel compatibility. Restore the supported CPU pin; Intel continues to obtain its XPU torch dependency from upstream requirements/xpu.txt.

Assisted-by: Codex:gpt-5

2026-07-30 05:08:01 +00:00

..

backend.py

feat: materialize Hugging Face model artifacts (#10825 )

2026-07-15 01:09:33 +02:00

install.sh

chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260726174827 (#11133 )

2026-07-26 23:14:03 +02:00

Makefile

feat(mlx): add mlx backend (#6049 )

2025-08-22 08:42:29 +02:00

package.sh

feat(vllm, distributed): tensor parallel distributed workers (#9612 )

2026-05-06 00:22:50 +02:00

README.md

…

requirements-after.txt

feat(vllm): parity with llama.cpp backend (#9328 )

2026-04-13 11:00:29 +02:00

requirements-cpu-after.txt

feat(vllm): parity with llama.cpp backend (#9328 )

2026-04-13 11:00:29 +02:00

requirements-cpu.txt

fix(vllm): restore CPU torch build

2026-07-30 05:08:01 +00:00

requirements-cublas12-after.txt

fix(vllm): drop flash-attn wheel to avoid torch 2.10 ABI mismatch (#9557 )

2026-04-25 15:38:13 +00:00

requirements-cublas12.txt

fix(vllm): drop flash-attn wheel to avoid torch 2.10 ABI mismatch (#9557 )

2026-04-25 15:38:13 +00:00

requirements-cublas13-after.txt

chore: ⬆️ Update vllm-project/vllm cu130 wheel to 0.26.0 (#11125 )

2026-07-26 00:02:02 +02:00

requirements-cublas13.txt

feat(backends): add CUDA 13 + L4T arm64 CUDA 13 variants for vllm/vllm-omni/sglang (#9553 )

2026-04-25 12:26:29 +02:00

requirements-hipblas.txt

feat(rocm): bump to 7.x (#9323 )

2026-04-12 08:51:30 +02:00

requirements-install.txt

fix(vllm): seed pybind11 for fastsafetensors build under --no-build-isolation

2026-04-28 20:08:26 +00:00

requirements-intel-after.txt

feat(vllm, distributed): tensor parallel distributed workers (#9612 )

2026-05-06 00:22:50 +02:00

requirements-intel.txt

feat(vllm, distributed): tensor parallel distributed workers (#9612 )

2026-05-06 00:22:50 +02:00

requirements-l4t13-after.txt

chore(deps): bump vllm from 0.25.0 to 0.25.1 in /backend/python/vllm (#10929 )

2026-07-18 21:37:41 +02:00

requirements-l4t13.txt

fix(L4T13 backends): switch vllm/sglang/vllm-omni to PyPI aarch64+cu130 wheels (#9950 )

2026-05-22 23:01:22 +02:00

requirements.txt

chore(deps): bump grpcio from 1.82.1 to 1.83.0 in /backend/python/vllm (#11086 )

2026-07-24 22:46:02 +02:00

run.sh

fix(python-backend): make JIT subprocesses work on hosts of any size (#9679 )

2026-05-06 00:28:01 +02:00

test.py

feat(vllm): progressive streaming via parser.extract_tool_calls_streaming (follow-up to #10346 ) (#10351 )

2026-06-21 17:07:15 +02:00

test.sh

…

README.md

Creating a separate environment for the vllm project

make vllm