Production runs one static model behind the OpenAI-compatible API. Every
adapter path and non-OpenAI HTTP surface is unreachable there.
- Delete the LoRA stack: vllm/lora, LoRARequest on the engine wire, the
scheduler, worker, cudagraph and MoE plumbing, LoRA metrics, the lora
CLI group, and the LoRA tests.
- Drop the plugin loader in vllm/plugins. Platform resolution is now
CUDA-only and the general/stat-logger plugin hooks are gone.
- Delete the speech-to-text and realtime entrypoints, the scale-out
render routes, and vllm/config/speech_to_text.py. GenerationTask is
generate-only.
- Cut DecodeBenchConnector and the disagg-prefill doc and image. The
Multi, Offloading and Example connectors stay; production uses the
CPU KV offload tier.
- Delete the ROCm-only fused KDA chunk kernel (2346 lines) with its CMake
arch gate, declarations and op registrations. The CUDA build never
defined the guard and no Python caller existed.
- Delete the orphan Mistral and Pixtral chat fixtures and examples/.
- Fix _check_model: removing the LoRA early return made every request
fail with "The model ... does not exist. Valid aliases: ...".
Verified on an RTX 3090: import sweep reports 1242 modules with 7 known
optional-dependency failures; a live server answers chat, completions,
responses, tokenize and detokenize with zero log errors and 404 for the
removed surfaces; collection yields 8558 tests with the 3 pre-existing
errors; ruff adds no new finding; the incremental _C build succeeds.
Co-authored-by: Hinata <hinata@idihore.id>
Signed-off-by: MOVZX <movzx@yahoo.com>
- Delete csrc/rocm, hipify, the _rocm_C extension and the setup.py rocm
target path; drop the rocm requirement files
- Delete the aiter, rdna3, skinny-gemm and ROCm fused-MoE kernel modules
and retarget the linear kernel registries away from them
- Reduce platforms/rocm.py to the GCN architecture predicates that live
code still imports, and delete the RocmPlatform class and plugin
- Drop the VLLM_SERVER_DEV_MODE debug surface: reset, collective_rpc,
server_info and sleep routes plus the log_error_stack flag
- Delete lm-format-enforcer, lark and otel-semantic-conventions-ai pins;
the live server process maps none of them
- Delete tests that only build architectures this fork no longer
registers, and test directories left without any test file
- Restore the tests/v1/kv_connector mock helpers that scheduler tests
import at module level
Co-authored-by: Hinata <hinata@idihore.id>
Signed-off-by: MOVZX <movzx@yahoo.com>
- Remove Anthropic, Cohere, SageMaker, decisions, structured-decisions,
rl, render-launcher and batch entrypoints; keep scale-out token routes
- Drop the Swagger static bundle and the /docs, /redoc routes
- Delete device-keyed tuning configs for fused_moe, quant utils, mamba
select-state and helion; no sm86 entry ever existed for any of them
- Remove ten unused rope variants plus the fbgemm_fp8 and fp_quant
quantizers and their config, metrics and loader plumbing
- Cut the CPU device build: csrc/cpu, cpu_extension.cmake, cpu
requirements and the setup.py cpu target path
- Delete 29 environment variables nothing reads and 14 chat-template
fallbacks for models this fork no longer registers
- Remove nine dead CUDA ops (deepseek_v4, kimi_k3, minimax, muse_spark,
dsv3 gemm) with their kernels, bindings, wrappers and CMake entries
- Delete the connector test suites that targeted removed connectors
- Cut the Mistral tokenizer and parser stack, its tests, and the
mistral_common and ijson dependency pins
- Restore the Qwen4Exp registry rows and nvidia/mtp.py that an earlier
cut deleted while keeping the model tree
Co-authored-by: Hinata <hinata@idihore.id>
Signed-off-by: MOVZX <movzx@yahoo.com>
- Delete the snapshot package, CLI command, and its launch tests
- Delete CPU workers, cpu_communicator, and the hw_agnostic layer package
- Delete the EC CPU connector, keeping the EC base glue intact
- Delete dead composite/triton_flashinfer backends and third_party/flashmla
- Delete dead video decoders, video-bound tests, and orphan utils
- Remove the deep_gemm_mega_moe option and dead allreduce fusion pair
Co-authored-by: Hinata <hinata@idihore.id>
Signed-off-by: MOVZX <movzx@yahoo.com>
- Restore example connector, test helpers, and dropped patch tests
- Guard MLA metadata import in the example connector
- Point the PLE test at common.ops.ple after upstream #60021 move
- Cut tests for removed features: tools, DRY, epd proxy, STT batch,
diffusion scheduler, INC/Quark PLE cases, mamba-2 mixer
Co-authored-by: Hinata <hinata@idihore.id>
Signed-off-by: MOVZX <movzx@yahoo.com>
- Drop dead model modules, keeping files live imports require
- Remove anthropic, cohere, codegen entrypoints and batch STT modes
- Delete unused attention backends, MoE experts, and NPU/XPU util leaves
- Strip dead third_party trees and ROCm leaves with no CUDA path
- Remove mooncake EC connectors: dependency missing since branch base
- Re-audit verified by full import sweep and Qwen3.5 smoke test
Co-authored-by: Hinata <hinata@idihore.id>
Signed-off-by: MOVZX <movzx@yahoo.com>
- Keep only Qwen3.5, Qwen3.5-MTP and Qwen4Exp model paths; trim the model registry to 41 entries
- Delete idle attention backends (MLA, FlashInfer, ROCm-only, quant backends) and dead GDN CuTeDSL kernels
- Remove inc/quark quant loaders; keep compressed-tensors and Marlin
- Drop the Rust frontend, pooling entrypoints, and idle test suites
- Rebuild kernels for sm_80;sm_86 and strip the extensions
- Verified: full import sweep clean (optional deps only) and a dummy-load Qwen3.5 engine run on RTX 3090 via the Triton GDN path
Co-authored-by: Hinata <hinata@idihore.id>
Signed-off-by: MOVZX <movzx@yahoo.com>
Add --offload-towers: place multimodal tower weights in pinned host
memory and bulk-copy each unit to the GPU only during its forward,
keeping towers out of VRAM between encodes. Unlike UVA zero-copy,
whole-tensor H2D transfers avoid re-reading operand tiles over PCIe
inside the GEMM inner loop. Tower streaming is independent of layer
group scheduling, so group_size may be 0 for tower-only offload.
Co-authored-by: Hinata <hinata@idihore.id>
Signed-off-by: MOVZX <movzx@yahoo.com>
MOVZXandHinata
