UPSTREAM.md 1.4 KB
Upstream provenance — vendored DFlash2 sources
All three .py files are copied verbatim (no local edits) from
- repo: https://github.com/local-inference-lab/vllm
- branch:
dev/jovian-judgement - commit:
da4d7be6c97434f6942292ed8abbf4b32dc44355(2026-08-28, "feat(dflash2): execute serialized MXFP8 projections natively") - license: Apache-2.0 (SPDX headers retained)
| local file | upstream path |
|---|---|
| qwen3_dflash.py | vllm/model_executor/models/qwen3_dflash.py |
| qwen3_dflash2.py | vllm/model_executor/models/qwen3_dflash2.py |
| dflash.py | vllm/v1/spec_decode/dflash.py |
Why vendored instead of "just use the fork image": every published
local-inference-lab / voipmonitor vLLM image is amd64-only (RTX PRO
6000 TP=4 world). The day-0 arm64 cu130 base our lab image uses is already a
superset of the fork for everything EXCEPT the DFlash2 model class — verified
by import-level diffing: the fork files import only symbols the day-0 image
ships (ModelOptMxFp8LinearMethod, CompressedTensorsW8A8Mxfp8, the dflash
proposer machinery). So the whole port is these 3 files + one registry line.
Refresh: re-fetch the same three paths from the branch tip, diff against
the vendored copies, rebuild.