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| Name: python313-vllm | Distribution: openSUSE Tumbleweed |
| Version: 0.26.0 | Vendor: openSUSE |
| Release: 1.1 | Build date: Sat Jul 25 21:30:45 2026 |
| Group: Unspecified | Build host: reproducible |
| Size: 85889418 | Source RPM: python-vllm-0.26.0-1.1.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://github.com/vllm-project/vllm | |
| Summary: A high-throughput and memory-efficient inference and serving engine for LLMs | |
vLLM is a fast and easy-to-use library for LLM inference and serving. This build runs CPU inference through PyTorch's native CPU operators (VLLM_TARGET_DEVICE=empty): the CUDA/GPU kernels, vLLM's optional compiled CPU kernels, the audio/video (torchaudio/torchcodec/torchvision) helpers and the optional Rust-accelerated tool parser are not included.
Apache-2.0
* Sat Jul 25 2026 Martin Pluskal <mpluskal@suse.com>
- Update to version 0.26.0:
* New Inkling model family support including speculative
decoding, LoRA and quantization; further new models:
BertForMaskedLM, Roberta/XLMRoberta token classification,
Cosmos3 Edge Reasoner, TranslateGemma-12b-it
* DeepSeek-V4 performance push: specialized routing kernel,
fused_topk_bias kernel, sparse decode/prefill optimizations
* fp32 lm_head for generation models via head_dtype, also on
the LoRA path
* Attention backend selectable per KV-cache group and
sliding-window support as an explicit backend capability
* Matured KV offloading and tiered secondary storage:
offloading metrics, object-store secondary tier,
encoder-cache connectors with CPU offloading
* Transformers 5.13 support with more models on the
Transformers modeling backend
* Requirements: diskcache and flashinfer-cubin dropped
- Rebase vllm-relax-cpu-requirements.patch onto the 0.26.0
requirements (diskcache line removed upstream)
- Drop the python-diskcache runtime requirement accordingly
* Wed Jul 22 2026 Martin Pluskal <mpluskal@suse.com>
- Update to 0.25.1
- Both CPU patches rebased cleanly; dependency set unchanged from
0.25.0
* Sat Jul 18 2026 Martin Pluskal <mpluskal@suse.com>
- Track the python-compressed-tensors 0.17.1 update: require
python-compressed-tensors = 0.17.1 (API-compatible patch
release; the quantization code path is unaffected).
* Thu Jul 16 2026 Martin Pluskal <mpluskal@suse.com>
- Fix runtime requirements to use canonical openSUSE package
names so the package is installable in staging (reported by
dimstar on sr#1365523):
* python-pillow -> python-Pillow
* python-pyyaml -> python-PyYAML
* python-mistral_common -> python-mistral-common
* python-prometheus_client -> python-prometheus-client
* Mon Jul 13 2026 Martin Pluskal <mpluskal@suse.com>
- Initial package of vllm 0.25.0 (CPU variant):
* Built with VLLM_TARGET_DEVICE=empty: inference runs through
PyTorch's native CPU operators. The CUDA/GPU kernels and vLLM's
optional compiled CPU kernels are not built, and the nvidia-*/
flashinfer runtime dependencies are not pulled in.
* Only the primary python3 flavour is built (not python-singlespec),
since vllm is tied to the flavour python-torch is built for.
* Add vllm-relax-cpu-requirements.patch: relax the exact torch,
numba and setuptools pins to what Factory ships and drop the
optional torchvision, torchaudio, torchcodec and intel-openmp
dependencies (text inference only for this first build).
* Add vllm-cpu-disable-rust-frontend.patch: do not build the
optional Rust frontend (~575 unvendored crates); it is a
runtime-optional, lazily-imported accelerator and the Python
implementations remain fully functional.
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