setup models

env/Dockerfile

@@ -0,0 +1,64 @@
+# Imagem de um candidato do benchmark (tarefas 11–12).
+# Uma imagem por candidato: as dependências do SemIf (transformers 5.x) e do GLiNER
+# (transformers<5) não convivem. Os pesos NÃO entram na imagem: o job os baixa do bucket
+# dmb-artefatos e confere o SHA-256 contra env/artifacts-manifest.json.
+#
+#   docker build -f env/Dockerfile --build-arg CANDIDATE=laya -t dmb-laya .
+#
+# syntax=docker/dockerfile:1.7
+ARG BASE_IMAGE=python:3.12-slim-bookworm@sha256:34386ef0cb081344d7ec1c103ba398e6e9f64e9ab3a1509accc92a4e24a07258
+FROM ${BASE_IMAGE}
+
+ARG BASE_IMAGE
+ARG CANDIDATE
+ARG TORCH_INDEX=https://download.pytorch.org/whl/cu128
+RUN test -n "${CANDIDATE}"
+
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    PIP_NO_CACHE_DIR=1 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1 \
+    HF_HUB_OFFLINE=1 \
+    TRANSFORMERS_OFFLINE=1 \
+    HF_DATASETS_OFFLINE=1 \
+    HF_HUB_DISABLE_TELEMETRY=1 \
+    USE_TF=0 \
+    DMB_CANDIDATE=${CANDIDATE} \
+    DMB_BASE_IMAGE=${BASE_IMAGE} \
+    DMB_MODELS_ROOT=/models \
+    RIZZO_LLAMA_DIR=/opt/runtimes/llama-b11081-linux-x64-cuda
+
+RUN apt-get update \
+ && apt-get install -y --no-install-recommends libgomp1 ca-certificates \
+ && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /opt/dmb
+COPY env/requirements/ env/requirements/
+RUN pip install -r env/requirements/common.txt \
+ && pip install --extra-index-url ${TORCH_INDEX} -r env/requirements/${CANDIDATE}.txt
+
+# Código-fonte dos runtimes em commits fixados (mesmos tarballs do bucket).
+COPY models/src/*.tar.gz /opt/src/
+COPY models/runtimes/llama-b11081-linux-x64-cpu /opt/runtimes/llama-b11081-linux-x64-cpu
+COPY models/runtimes/llama-b11081-linux-x64-cuda /opt/runtimes/llama-b11081-linux-x64-cuda
+RUN set -e; cd /opt/src; \
+    case "${CANDIDATE}" in \
+      semif) tar xzf SemIf-OpenJev-*.tar.gz && pip install --no-deps ./SemIf-OpenJev ;; \
+      rizzo_flow) tar xzf rizzo-flow-*.tar.gz && pip install --no-deps ./rizzo-flow ;; \
+    esac; \
+    if [ "${CANDIDATE}" != rizzo_flow ]; then rm -rf /opt/runtimes; fi; \
+    rm -f /opt/src/*.tar.gz
+
+COPY pyproject.toml ./
+COPY dmb/ dmb/
+COPY adapters/ adapters/
+COPY harness/ harness/
+COPY contracts/ contracts/
+COPY infra/oci/session.py infra/oci/session.py
+COPY config/ config/
+COPY env/artifacts-manifest.json env/artifacts-manifest.json
+
+# Manifesto de versões da imagem (tarefa 12).
+RUN python -m harness.image_manifest > /opt/dmb/image-manifest.json
+
+ENTRYPOINT ["python", "-m", "harness.job"]

env/acquire.py

@@ -0,0 +1,175 @@
+"""Aquisição de artefatos dos candidatos (tarefas 13–16).
+
+Baixa pesos, tokenizadores e licenças nas revisões fixadas, empacota o código-fonte
+dos runtimes em commits fixados, calcula SHA-256, envia tudo ao bucket `dmb-artefatos`
+e grava o manifesto em env/artifacts-manifest.json.
+
+Uso: PYTHONPATH=infra/oci .venv/bin/python env/acquire.py [--skip-upload]
+"""
+import argparse
+import hashlib
+import json
+import subprocess
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+import oci
+from huggingface_hub import HfApi, snapshot_download
+from oci.object_storage import UploadManager
+
+from session import load_config
+
+ROOT = Path(__file__).resolve().parents[1]
+LOCAL = ROOT / "models"
+MANIFEST = ROOT / "env" / "artifacts-manifest.json"
+BUCKET = "dmb-artefatos"
+LICENSE_ALLOWLIST = {"apache-2.0", "mit"}
+
+HF_MODELS = [
+    {"candidate": "laya", "repo": "convaiinnovations/laya-multilingual",
+     "revision": "1720e3e3357cfe1e281542e223f8273b0890ca34", "allow": None},
+    {"candidate": "gliner", "repo": "fastino/GLiNER2.5-multi-Decide",
+     "revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f", "allow": None, "ignore": ["*.png"]},
+    {"candidate": "semif", "repo": "Qwen/Qwen3.5-4B",
+     "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a", "allow": None},
+    {"candidate": "rizzo_flow", "repo": "rizzoaiacademy/rizzo-flow",
+     "revision": "55633c8cbd2b826bd3eefdeb05310450996649df",
+     "allow": ["spark-x2.5-4b-rizzo-flow-lora-q8_0.gguf", "LICENSE", "README.md", "training/history.json"],
+     "expected_sha256": {"spark-x2.5-4b-rizzo-flow-lora-q8_0.gguf":
+                         "dbec3c89d33984772324e65a8ed56b48e958e301b856cb870a7c1b385d01691a"}},
+]
+
+GIT_SOURCES = [
+    {"candidate": "semif", "repo": "https://github.com/TheoLeeCJ/SemIf-OpenJev",
+     "commit": "23cf1f39fc9534fe81437200959b6dfc7106e45a", "license": "mit"},
+    {"candidate": "rizzo_flow", "repo": "https://github.com/Rizzo-AI-Academy/rizzo-flow",
+     "commit": "b9ba007ee4d2928bbab5b1d8bfe9009c3696b6de", "license": "apache-2.0"},
+]
+
+
+# Runtime llama.cpp do Rizzo Flow (release b11081): arquivos oficiais baixados por
+# `rizzo download --only runtime --runtime {cpu,cuda}`, que confere o SHA-256 fixado pelo projeto.
+RUNTIME_ARCHIVES = [
+    "llama-b11081-bin-ubuntu-x64.tar.gz",
+    "llama-b11081-bin-ubuntu-cuda-13.4-x64.tar.gz",
+    "cudart-llama-b11081-bin-ubuntu-cuda-13.4-x64.tar.gz",
+]
+
+
+def sha256(path: Path) -> str:
+    h = hashlib.sha256()
+    with path.open("rb") as f:
+        for chunk in iter(lambda: f.read(1 << 22), b""):
+            h.update(chunk)
+    return h.hexdigest()
+
+
+def fetch_hf(spec: dict) -> list[dict]:
+    info = HfApi().model_info(spec["repo"], revision=spec["revision"])
+    lic = (info.card_data or {}).get("license") if info.card_data else None
+    if (lic or "").lower() not in LICENSE_ALLOWLIST:
+        sys.exit(f"licença fora da allowlist: {spec['repo']} -> {lic}")
+    target = LOCAL / spec["candidate"] / spec["repo"].replace("/", "__") / spec["revision"]
+    snapshot_download(spec["repo"], revision=spec["revision"], local_dir=target,
+                      allow_patterns=spec.get("allow"), ignore_patterns=spec.get("ignore"))
+    entries = []
+    for f in sorted(p for p in target.rglob("*") if p.is_file() and ".cache" not in p.parts):
+        rel = f.relative_to(target).as_posix()
+        digest = sha256(f)
+        expected = spec.get("expected_sha256", {}).get(rel)
+        if expected and expected != digest:
+            sys.exit(f"SHA-256 divergente em {spec['repo']}/{rel}")
+        entries.append({
+            "candidate": spec["candidate"], "kind": "hf_model", "origin": f"hf://{spec['repo']}",
+            "revision": spec["revision"], "license": lic, "path": rel, "sha256": digest,
+            "bytes": f.stat().st_size, "local": str(f),
+            "object": f"models/{spec['candidate']}/{spec['repo'].replace('/', '__')}/{spec['revision']}/{rel}",
+        })
+    return entries
+
+
+def fetch_git(spec: dict) -> list[dict]:
+    name = spec["repo"].rstrip("/").split("/")[-1]
+    work = LOCAL / "src" / name
+    if not (work / ".git").exists():
+        subprocess.run(["git", "clone", "-q", spec["repo"], str(work)], check=True)
+    subprocess.run(["git", "-C", str(work), "fetch", "-q", "origin", spec["commit"]], check=False)
+    subprocess.run(["git", "-C", str(work), "checkout", "-q", spec["commit"]], check=True)
+    tarball = LOCAL / "src" / f"{name}-{spec['commit'][:12]}.tar.gz"
+    with open(tarball, "wb") as out:
+        subprocess.run(["git", "-C", str(work), "archive", "--format=tar.gz",
+                        f"--prefix={name}/", spec["commit"]], stdout=out, check=True)
+    return [{
+        "candidate": spec["candidate"], "kind": "source", "origin": spec["repo"],
+        "revision": spec["commit"], "license": spec["license"], "path": tarball.name,
+        "sha256": sha256(tarball), "bytes": tarball.stat().st_size, "local": str(tarball),
+        "object": f"src/{spec['candidate']}/{tarball.name}",
+    }]
+
+
+def fetch_runtimes() -> list[dict]:
+    downloads = LOCAL / "runtimes" / "downloads"
+    missing = [a for a in RUNTIME_ARCHIVES if not (downloads / a).is_file()]
+    if missing:
+        sys.exit(f"runtimes ausentes {missing}: rode `rizzo download --only runtime --runtime cpu|cuda` em models/")
+    return [{
+        "candidate": "rizzo_flow", "kind": "runtime", "origin": "https://github.com/ggml-org/llama.cpp/releases/tag/b11081",
+        "revision": "b11081", "license": "mit", "path": name, "sha256": sha256(downloads / name),
+        "bytes": (downloads / name).stat().st_size, "local": str(downloads / name),
+        "object": f"runtimes/rizzo_flow/{name}",
+    } for name in RUNTIME_ARCHIVES]
+
+
+def upload(entries: list[dict]) -> None:
+    cfg = load_config()
+    client = oci.object_storage.ObjectStorageClient(cfg)
+    ns = client.get_namespace().data
+    manager = UploadManager(client, allow_parallel_uploads=True, parallel_process_count=8)
+    for e in entries:
+        try:
+            head = client.head_object(ns, BUCKET, e["object"])
+            if head.headers.get("opc-meta-sha256") == e["sha256"]:
+                print("já no bucket:", e["object"])
+                continue
+        except oci.exceptions.ServiceError as err:
+            if err.status != 404:
+                raise
+        if sha256(Path(e["local"])) != e["sha256"]:
+            sys.exit(f"{e['local']} mudou depois do cálculo do hash; abortando o envio")
+        print(f"enviando {e['object']} ({e['bytes'] / 1e9:.2f} GB)", flush=True)
+        manager.upload_file(ns, BUCKET, e["object"], e["local"],
+                            metadata={"sha256": e["sha256"], "revision": e["revision"]})
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--skip-upload", action="store_true")
+    args = ap.parse_args()
+
+    entries = []
+    for spec in HF_MODELS:
+        print("baixando", spec["repo"], flush=True)
+        entries += fetch_hf(spec)
+    for spec in GIT_SOURCES:
+        print("empacotando", spec["repo"], flush=True)
+        entries += fetch_git(spec)
+    entries += fetch_runtimes()
+    if not args.skip_upload:
+        upload(entries)
+
+    now = datetime.now(timezone.utc).isoformat(timespec="seconds")
+    manifest = {
+        "schema": "dmb-artifacts-v1",
+        "acquired_at": now,
+        "bucket": BUCKET,
+        "license_allowlist": sorted(LICENSE_ALLOWLIST),
+        "artifacts": [{k: v for k, v in e.items() if k != "local"} for e in entries],
+    }
+    MANIFEST.write_text(json.dumps(manifest, indent=2, ensure_ascii=False) + "\n")
+    total = sum(e["bytes"] for e in entries)
+    print(f"{len(entries)} artefatos, {total / 1e9:.2f} GB; manifesto em {MANIFEST.relative_to(ROOT)}")
+
+
+if __name__ == "__main__":
+    main()

env/artifacts-manifest.json

@@ -0,0 +1,440 @@
+{
+  "schema": "dmb-artifacts-v1",
+  "acquired_at": "2026-10-07T14:45:40+00:00",
+  "bucket": "dmb-artefatos",
+  "license_allowlist": [
+    "apache-2.0",
+    "mit"
+  ],
+  "artifacts": [
+    {
+      "candidate": "laya",
+      "kind": "hf_model",
+      "origin": "hf://convaiinnovations/laya-multilingual",
+      "revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
+      "license": "apache-2.0",
+      "path": ".gitattributes",
+      "sha256": "caf3ca02d5e883f643e939cbed54f94237f94c171797f0dfea5e25c7e33315b3",
+      "bytes": 1580,
+      "object": "models/laya/convaiinnovations__laya-multilingual/1720e3e3357cfe1e281542e223f8273b0890ca34/.gitattributes"
+    },
+    {
+      "candidate": "laya",
+      "kind": "hf_model",
+      "origin": "hf://convaiinnovations/laya-multilingual",
+      "revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
+      "license": "apache-2.0",
+      "path": "README.md",
+      "sha256": "e85d16c3fe35fe7094ef51a7cfa81144a5cc07558e5faddcff753a8153e38a0b",
+      "bytes": 9346,
+      "object": "models/laya/convaiinnovations__laya-multilingual/1720e3e3357cfe1e281542e223f8273b0890ca34/README.md"
+    },
+    {
+      "candidate": "laya",
+      "kind": "hf_model",
+      "origin": "hf://convaiinnovations/laya-multilingual",
+      "revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
+      "license": "apache-2.0",
+      "path": "config.json",
+      "sha256": "7add7c041b53f7091e65908553af79ab3f077946e5f2312d510ae13b17c7c134",
+      "bytes": 160,
+      "object": "models/laya/convaiinnovations__laya-multilingual/1720e3e3357cfe1e281542e223f8273b0890ca34/config.json"
+    },
+    {
+      "candidate": "laya",
+      "kind": "hf_model",
+      "origin": "hf://convaiinnovations/laya-multilingual",
+      "revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
+      "license": "apache-2.0",
+      "path": "encoder/config.json",
+      "sha256": "83f6916d13ef0f556ac461f28308dc2bffa7ebeadee8ec9e2db5812020ea5bb4",
+      "bytes": 1938,
+      "object": "models/laya/convaiinnovations__laya-multilingual/1720e3e3357cfe1e281542e223f8273b0890ca34/encoder/config.json"
+    },
+    {
+      "candidate": "laya",
+      "kind": "hf_model",
+      "origin": "hf://convaiinnovations/laya-multilingual",
+      "revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
+      "license": "apache-2.0",
+      "path": "model.safetensors",
+      "sha256": "9d628fd971b700382ac6f65920a86f149777b2e748e0c955fb3b19695aa8f204",
+      "bytes": 643835514,
+      "object": "models/laya/convaiinnovations__laya-multilingual/1720e3e3357cfe1e281542e223f8273b0890ca34/model.safetensors"
+    },
+    {
+      "candidate": "laya",
+      "kind": "hf_model",
+      "origin": "hf://convaiinnovations/laya-multilingual",
+      "revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
+      "license": "apache-2.0",
+      "path": "rl_agent_config.json",
+      "sha256": "25061739243b617ad88d1219ba6f8a9c86c5881ca28df024fa2d9b3b2fcc30c6",
+      "bytes": 472,
+      "object": "models/laya/convaiinnovations__laya-multilingual/1720e3e3357cfe1e281542e223f8273b0890ca34/rl_agent_config.json"
+    },
+    {
+      "candidate": "laya",
+      "kind": "hf_model",
+      "origin": "hf://convaiinnovations/laya-multilingual",
+      "revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
+      "license": "apache-2.0",
+      "path": "tokenizer/tokenizer.json",
+      "sha256": "609d8f4c067cd3950f88594c5a802616cea245823836ef5848ee4fc40aab5b6f",
+      "bytes": 34363188,
+      "object": "models/laya/convaiinnovations__laya-multilingual/1720e3e3357cfe1e281542e223f8273b0890ca34/tokenizer/tokenizer.json"
+    },
+    {
+      "candidate": "laya",
+      "kind": "hf_model",
+      "origin": "hf://convaiinnovations/laya-multilingual",
+      "revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
+      "license": "apache-2.0",
+      "path": "tokenizer/tokenizer_config.json",
+      "sha256": "424b69444bf7b5809dc2cd2e36d0bd71b8055124dd24274d6db3c655d38205e7",
+      "bytes": 502,
+      "object": "models/laya/convaiinnovations__laya-multilingual/1720e3e3357cfe1e281542e223f8273b0890ca34/tokenizer/tokenizer_config.json"
+    },
+    {
+      "candidate": "gliner",
+      "kind": "hf_model",
+      "origin": "hf://fastino/GLiNER2.5-multi-Decide",
+      "revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
+      "license": "apache-2.0",
+      "path": ".gitattributes",
+      "sha256": "6af2fc6fb7f8b4e8d6d4ff0b968e3353767f677c9b6973e38127780ec3563842",
+      "bytes": 1640,
+      "object": "models/gliner/fastino__GLiNER2.5-multi-Decide/a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f/.gitattributes"
+    },
+    {
+      "candidate": "gliner",
+      "kind": "hf_model",
+      "origin": "hf://fastino/GLiNER2.5-multi-Decide",
+      "revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
+      "license": "apache-2.0",
+      "path": "README.md",
+      "sha256": "989d19265d83c9a3886577b5d3851e6c58b585f15d5b2912e925655b201fc42d",
+      "bytes": 17002,
+      "object": "models/gliner/fastino__GLiNER2.5-multi-Decide/a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f/README.md"
+    },
+    {
+      "candidate": "gliner",
+      "kind": "hf_model",
+      "origin": "hf://fastino/GLiNER2.5-multi-Decide",
+      "revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
+      "license": "apache-2.0",
+      "path": "SKILL.md",
+      "sha256": "c88242139bdbde7194b1c05bfc77cd5a9ef2d975040a15708211a09700296e32",
+      "bytes": 6511,
+      "object": "models/gliner/fastino__GLiNER2.5-multi-Decide/a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f/SKILL.md"
+    },
+    {
+      "candidate": "gliner",
+      "kind": "hf_model",
+      "origin": "hf://fastino/GLiNER2.5-multi-Decide",
+      "revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
+      "license": "apache-2.0",
+      "path": "config.json",
+      "sha256": "be5123080c0f3f01b938bc46a5dd0d7a2e515a34f6df798dfd70ed04c277c8bf",
+      "bytes": 3152,
+      "object": "models/gliner/fastino__GLiNER2.5-multi-Decide/a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f/config.json"
+    },
+    {
+      "candidate": "gliner",
+      "kind": "hf_model",
+      "origin": "hf://fastino/GLiNER2.5-multi-Decide",
+      "revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
+      "license": "apache-2.0",
+      "path": "encoder_config/config.json",
+      "sha256": "d0ebbcb8b458e285a39e12cc315cbaf3d1c6f631e7281e6b22dd5b4071183f83",
+      "bytes": 858,
+      "object": "models/gliner/fastino__GLiNER2.5-multi-Decide/a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f/encoder_config/config.json"
+    },
+    {
+      "candidate": "gliner",
+      "kind": "hf_model",
+      "origin": "hf://fastino/GLiNER2.5-multi-Decide",
+      "revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
+      "license": "apache-2.0",
+      "path": "model.safetensors",
+      "sha256": "9efe0f88c99f2aa794452e9559dc60e98d60d9fa2bf1b60cf2710411b6da5b4e",
+      "bytes": 1149461028,
+      "object": "models/gliner/fastino__GLiNER2.5-multi-Decide/a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f/model.safetensors"
+    },
+    {
+      "candidate": "gliner",
+      "kind": "hf_model",
+      "origin": "hf://fastino/GLiNER2.5-multi-Decide",
+      "revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
+      "license": "apache-2.0",
+      "path": "tokenizer.json",
+      "sha256": "c62446df87ae18ec98b133f8f84fc449a07cc89bbf8ef192a4cb5f9c53777a7a",
+      "bytes": 16035853,
+      "object": "models/gliner/fastino__GLiNER2.5-multi-Decide/a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f/tokenizer.json"
+    },
+    {
+      "candidate": "gliner",
+      "kind": "hf_model",
+      "origin": "hf://fastino/GLiNER2.5-multi-Decide",
+      "revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
+      "license": "apache-2.0",
+      "path": "tokenizer_config.json",
+      "sha256": "fd4a31dc2f1f17e31638c5f0e783b81cdb2fbe6bddd116a8d9e5d50d78148cf1",
+      "bytes": 646,
+      "object": "models/gliner/fastino__GLiNER2.5-multi-Decide/a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f/tokenizer_config.json"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": ".gitattributes",
+      "sha256": "34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930",
+      "bytes": 1570,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/.gitattributes"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "LICENSE",
+      "sha256": "bbedc3fda3305820b977265f01b8619d87570a6739de3a5582c3464840f1e57a",
+      "bytes": 11544,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/LICENSE"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "README.md",
+      "sha256": "1406be1b6b8fd8a6545870da516912804756593628a1d0fb0a7965211e82a7bb",
+      "bytes": 77661,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/README.md"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "chat_template.jinja",
+      "sha256": "a4aee8afcf2e0711942cf848899be66016f8d14a889ff9ede07bca099c28f715",
+      "bytes": 7756,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/chat_template.jinja"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "config.json",
+      "sha256": "ddc63e1c717afa86c865bb5e01313d89d72bb53b97ad4a8a03ba8510c0621670",
+      "bytes": 3161,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/config.json"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "merges.txt",
+      "sha256": "a9d356d7bdf1ef4949e3e748e95b8e10ad9d4e2e838eddc38a0a7b6b94d1db8d",
+      "bytes": 3353259,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/merges.txt"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "model.safetensors-00001-of-00002.safetensors",
+      "sha256": "26a93f066e1916adb13453dae5a0c707c0fbc71299ed98779571a907b8e74c61",
+      "bytes": 5329398688,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/model.safetensors-00001-of-00002.safetensors"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "model.safetensors-00002-of-00002.safetensors",
+      "sha256": "cb544bd9bfae93dc59b0f22b292f5933573854a7f9b97835c67060d7d910e188",
+      "bytes": 3990429408,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/model.safetensors-00002-of-00002.safetensors"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "model.safetensors.index.json",
+      "sha256": "cf3f798ee02ba45f9622aa8892a47369ab667d0afbf154ee7c2212de42e6302d",
+      "bytes": 76196,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/model.safetensors.index.json"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "preprocessor_config.json",
+      "sha256": "27225450ac9c6529872ee1924fcb0962ff5634834f817040f444118116f4e516",
+      "bytes": 390,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/preprocessor_config.json"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "tokenizer.json",
+      "sha256": "5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42",
+      "bytes": 12807982,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/tokenizer.json"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "tokenizer_config.json",
+      "sha256": "316230d6a809701f4db5ea8f8fc862bc3a6f3229c937c174e674ff3ca0a64ac8",
+      "bytes": 16710,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/tokenizer_config.json"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "video_preprocessor_config.json",
+      "sha256": "7768af27c1fafa9cc9011c1dc20067e03f8915e03b63504550e11d5066986d13",
+      "bytes": 385,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/video_preprocessor_config.json"
+    },
+    {
+      "candidate": "semif",
+      "kind": "hf_model",
+      "origin": "hf://Qwen/Qwen3.5-4B",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "license": "apache-2.0",
+      "path": "vocab.json",
+      "sha256": "ce99b4cb2983d118806ce0a8b777a35b093e2000a503ebde25853284c9dfa003",
+      "bytes": 6722759,
+      "object": "models/semif/Qwen__Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/vocab.json"
+    },
+    {
+      "candidate": "rizzo_flow",
+      "kind": "hf_model",
+      "origin": "hf://rizzoaiacademy/rizzo-flow",
+      "revision": "55633c8cbd2b826bd3eefdeb05310450996649df",
+      "license": "apache-2.0",
+      "path": "LICENSE",
+      "sha256": "525c465ab952779d2d360a9ff36f7f49ae018a23d80302ff839a850a77784c36",
+      "bytes": 11338,
+      "object": "models/rizzo_flow/rizzoaiacademy__rizzo-flow/55633c8cbd2b826bd3eefdeb05310450996649df/LICENSE"
+    },
+    {
+      "candidate": "rizzo_flow",
+      "kind": "hf_model",
+      "origin": "hf://rizzoaiacademy/rizzo-flow",
+      "revision": "55633c8cbd2b826bd3eefdeb05310450996649df",
+      "license": "apache-2.0",
+      "path": "README.md",
+      "sha256": "dc38bc120b71453db49bab091363c046bcbcbb59d08afbbc7d1ce355b01f2191",
+      "bytes": 9315,
+      "object": "models/rizzo_flow/rizzoaiacademy__rizzo-flow/55633c8cbd2b826bd3eefdeb05310450996649df/README.md"
+    },
+    {
+      "candidate": "rizzo_flow",
+      "kind": "hf_model",
+      "origin": "hf://rizzoaiacademy/rizzo-flow",
+      "revision": "55633c8cbd2b826bd3eefdeb05310450996649df",
+      "license": "apache-2.0",
+      "path": "spark-x2.5-4b-rizzo-flow-lora-q8_0.gguf",
+      "sha256": "dbec3c89d33984772324e65a8ed56b48e958e301b856cb870a7c1b385d01691a",
+      "bytes": 4375021216,
+      "object": "models/rizzo_flow/rizzoaiacademy__rizzo-flow/55633c8cbd2b826bd3eefdeb05310450996649df/spark-x2.5-4b-rizzo-flow-lora-q8_0.gguf"
+    },
+    {
+      "candidate": "rizzo_flow",
+      "kind": "hf_model",
+      "origin": "hf://rizzoaiacademy/rizzo-flow",
+      "revision": "55633c8cbd2b826bd3eefdeb05310450996649df",
+      "license": "apache-2.0",
+      "path": "training/history.json",
+      "sha256": "8feb23ded52b22b095907261659b9a9972f607c0a810cee5628b8b2cebfa227f",
+      "bytes": 27088,
+      "object": "models/rizzo_flow/rizzoaiacademy__rizzo-flow/55633c8cbd2b826bd3eefdeb05310450996649df/training/history.json"
+    },
+    {
+      "candidate": "semif",
+      "kind": "source",
+      "origin": "https://github.com/TheoLeeCJ/SemIf-OpenJev",
+      "revision": "23cf1f39fc9534fe81437200959b6dfc7106e45a",
+      "license": "mit",
+      "path": "SemIf-OpenJev-23cf1f39fc95.tar.gz",
+      "sha256": "bb31ca475740e98b5091d2ee82b80d82568a5d19833cf612a8d28d43889073d4",
+      "bytes": 8807630,
+      "object": "src/semif/SemIf-OpenJev-23cf1f39fc95.tar.gz"
+    },
+    {
+      "candidate": "rizzo_flow",
+      "kind": "source",
+      "origin": "https://github.com/Rizzo-AI-Academy/rizzo-flow",
+      "revision": "b9ba007ee4d2928bbab5b1d8bfe9009c3696b6de",
+      "license": "apache-2.0",
+      "path": "rizzo-flow-b9ba007ee4d2.tar.gz",
+      "sha256": "5921e70b7d9f592c649b88002f010736a8d2b0cb6de081d078e779ea1d916a62",
+      "bytes": 7999256,
+      "object": "src/rizzo_flow/rizzo-flow-b9ba007ee4d2.tar.gz"
+    },
+    {
+      "candidate": "rizzo_flow",
+      "kind": "runtime",
+      "origin": "https://github.com/ggml-org/llama.cpp/releases/tag/b11081",
+      "revision": "b11081",
+      "license": "mit",
+      "path": "llama-b11081-bin-ubuntu-x64.tar.gz",
+      "sha256": "1e4afeb3985ff8877c3811b7fa994faf7731fb54ad90ff0b68e96fb0a5493c45",
+      "bytes": 16983830,
+      "object": "runtimes/rizzo_flow/llama-b11081-bin-ubuntu-x64.tar.gz"
+    },
+    {
+      "candidate": "rizzo_flow",
+      "kind": "runtime",
+      "origin": "https://github.com/ggml-org/llama.cpp/releases/tag/b11081",
+      "revision": "b11081",
+      "license": "mit",
+      "path": "llama-b11081-bin-ubuntu-cuda-13.4-x64.tar.gz",
+      "sha256": "71984fb15c371a34e79b773000a712ea6a7ff228e62b6ee6313a7881897ea931",
+      "bytes": 149582659,
+      "object": "runtimes/rizzo_flow/llama-b11081-bin-ubuntu-cuda-13.4-x64.tar.gz"
+    },
+    {
+      "candidate": "rizzo_flow",
+      "kind": "runtime",
+      "origin": "https://github.com/ggml-org/llama.cpp/releases/tag/b11081",
+      "revision": "b11081",
+      "license": "mit",
+      "path": "cudart-llama-b11081-bin-ubuntu-cuda-13.4-x64.tar.gz",
+      "sha256": "c86d7a48e65d8bda58f79a288599508c8b0e57e711118c30b8e1228faf7dc898",
+      "bytes": 440231544,
+      "object": "runtimes/rizzo_flow/cudart-llama-b11081-bin-ubuntu-cuda-13.4-x64.tar.gz"
+    }
+  ]
+}

env/requirements/common.txt

@@ -0,0 +1,7 @@
+# Comum a todas as imagens (servidor JEV, harness, acesso ao Object Storage).
+jsonschema==4.26.0
+fastapi==0.142.2
+uvicorn==0.54.0
+pydantic==2.13.5
+pyyaml==6.0.3
+oci==2.187.2

env/requirements/gliner.txt

@@ -0,0 +1,11 @@
+torch==2.10.0
+transformers==4.57.6
+tokenizers==0.22.2
+safetensors==0.8.0
+huggingface_hub==0.36.2
+numpy==2.4.6  # última compatível com o Python 3.11 dos jobs
+peft==0.21.2
+protobuf==7.36.2
+sentencepiece==0.2.2
+tiktoken==0.14.0
+gliner2==2.0.0

env/requirements/laya.txt

@@ -0,0 +1,7 @@
+torch==2.10.0
+transformers==4.57.6
+tokenizers==0.22.2
+safetensors==0.8.0
+huggingface_hub==0.36.2
+numpy==2.4.6  # última compatível com o Python 3.11 dos jobs
+laya==0.3.29

env/requirements/rizzo_flow.txt

@@ -0,0 +1,2 @@
+# Sem torch: o Rizzo Flow roda sobre o llama.cpp b11081 (runtimes copiados para a imagem).
+jinja2==3.1.6

env/requirements/semif.txt

@@ -0,0 +1,10 @@
+# Versões fixadas pelo pyproject do SemIf (commit 23cf1f39fc95).
+torch==2.10.0
+transformers==5.17.0
+accelerate==1.12.0
+safetensors==0.8.0
+huggingface-hub==1.31.0
+tokenizers==0.23.2
+numpy==2.2.6
+sentencepiece==0.2.1
+protobuf==7.36.1