Gahow Wang
445e491123
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:
vllm/v1/core/sched/scheduler.py:
Replace fatal assert with graceful skip when KV transfer callback
arrives for an already-aborted request during PD disaggregated serving.
Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
10 lines
445 B
Markdown
10 lines
445 B
Markdown
# Using vLLM
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First, vLLM must be [installed](../getting_started/installation/README.md) for your chosen device in either a Python or Docker environment.
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Then, vLLM supports the following usage patterns:
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- [Inference and Serving](../serving/offline_inference.md): Run a single instance of a model.
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- [Deployment](../deployment/docker.md): Scale up model instances for production.
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- [Training](../training/rlhf.md): Train or fine-tune a model.
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