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wkao/jina-reranker-v3.5

By wkao

•Updated 18 days ago

Image
Machine learning & AI
0

90

wkao/jina-reranker-v3.5 repository overview

⁠jina-reranker-v3.5

Jina v3.5 排序服务 · Cohere/Jina 兼容 /v1/rerank · 端口 6006 · 镜像 wkao/jina-reranker-v3.5:latest · 固定 CPU 推理

⁠快速开始

⁠方式一:docker run
# 拉取镜像
docker pull wkao/jina-reranker-v3.5:latest

# 运行(未传 API_KEYS 时使用镜像内置默认 Key: sk-aaabbbcccdddeeefffggghhhiiijjjkkk)
docker run -d --name jina-reranker-v3.5 -p 6006:6006 wkao/jina-reranker-v3.5:latest

# 指定自有 API Key(多个用逗号分隔,便于按客户端发放/吊销)
docker run -d --name jina-reranker-v3.5 -p 6006:6006 \
  -e API_KEYS="sk-your-key-1,sk-your-key-2" \
  wkao/jina-reranker-v3.5:latest

模型在后台加载,/health 就绪前返回 503,请耐心等待。

⁠方式二:docker compose(推荐)

docker-compose.yml

services:
  jina-reranker-v3.5:
    image: wkao/jina-reranker-v3.5:latest
    container_name: jina-reranker-v3.5
    restart: unless-stopped

    ports:
      - "6006:6006"

    environment:
      # ---- 认证 ----(多个 Key 用逗号分隔;留空则用 model_config.yaml 默认值)
      API_KEYS: "${API_KEYS:-sk-aaabbbcccdddeeefffggghhhiiijjjkkk}"
      AUTH_ENABLED: "${AUTH_ENABLED:-true}"

      # ---- 模型 ----
      #   MODEL_TYPE: jina_reranker_v3_5_hf (HF 原生,默认) / jina_reranker_v3_5 (GGUF)
      MODEL_NAME: "${MODEL_NAME:-jina-reranker-v3.5}"
      MODEL_TYPE: "${MODEL_TYPE:-jina_reranker_v3_5_hf}"
      MODEL_PATH: "${MODEL_PATH:-./jina-reranker-v3.5}"
      MODEL_SCORE_NORMALIZATION: "${MODEL_SCORE_NORMALIZATION:-cosine}"
      MODEL_INFERENCE_THREADS: "${MODEL_INFERENCE_THREADS:-0}"

      # ---- 服务 ----
      SERVER_PORT: "6006"
      SERVER_WORKERS: "${SERVER_WORKERS:-1}"
      SERVER_MAX_REQUEST_SIZE_MB: "${SERVER_MAX_REQUEST_SIZE_MB:-50}"
      LOG_LEVEL: "${LOG_LEVEL:-INFO}"
      LOG_FORMAT: "${LOG_FORMAT:-json}"         # json / text

      # ---- 限流 ----
      RATE_LIMIT_ENABLED: "${RATE_LIMIT_ENABLED:-true}"
      RATE_LIMIT_RPM: "${RATE_LIMIT_RPM:-60}"
      RATE_LIMIT_TPM: "${RATE_LIMIT_TPM:-1000000}"

      # ---- 运行时 ----
      PYTHONUNBUFFERED: "1"
      PYTHONDONTWRITEBYTECODE: "1"
      OMP_NUM_THREADS: "${OMP_NUM_THREADS:-4}"
      TZ: "${TZ:-Asia/Shanghai}"

    # 如需在宿主机覆盖模型文件或配置,取消以下注释
    # volumes:
    #   - ./llm/jina-reranker-v3.5:/app/jina-reranker-v3.5:ro
    #   - ./app/config/model_config.yaml:/app/config/model_config.yaml:ro

    healthcheck:
      test:
        - CMD
        - python
        - -c
        - "import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://localhost:6006/health', timeout=5).status==200 else 1)"
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 300s        # 模型后台加载 + 预热,需覆盖最坏耗时

    logging:
      driver: json-file
      options:
        max-size: "20m"
        max-file: "5"

    # HF bfloat16 模型加载约 6-8GB 内存
    deploy:
      resources:
        limits:
          memory: 10g
        reservations:
          memory: 4g

networks:
  default:
    name: jina-rerank-net

启动与常用命令:

docker compose up -d                        # 启动
docker compose logs -f jina-reranker-v3.5   # 实时日志
curl http://localhost:6006/health           # 健康检查
docker compose down                         # 停止并清理

Compose 中的环境变量默认值与镜像内 app/config/model_config.yaml 保持一致;若两处都设置,环境变量优先级更高。完整变量清单见下方 环境变量⁠ 章节。

⁠用 .env 覆盖配置(推荐至少把密钥换掉)

在 docker-compose.yml 同目录创建 .env,docker compose 自动读取:

API_KEYS=sk-your-key-1,sk-your-key-2
AUTH_ENABLED=true
LOG_LEVEL=INFO
LOG_FORMAT=json
RATE_LIMIT_RPM=120
RATE_LIMIT_TPM=200000
OMP_NUM_THREADS=4
TZ=Asia/Shanghai
⁠挂载宿主机模型 / 配置

不重建镜像即可替换权重或调配置,取消 compose 里 volumes 段注释:

    volumes:
      - ./llm/jina-reranker-v3.5:/app/jina-reranker-v3.5:ro
      - ./app/config/model_config.yaml:/app/config/model_config.yaml:ro

Windows 写成 D:/models/jina-reranker-v3.5:/app/jina-reranker-v3.5:ro 形式;挂载后直接 docker compose up -d 生效。

Tag summary

Content type

Image

Digest

sha256:72e1c4923…

Size

1.2 GB

Last updated

18 days ago

docker pull wkao/jina-reranker-v3.5