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- - backend_name: Kokoro-FastAPI
- description: 'Kokoro-FastAPI (https://github.com/remsky/Kokoro-FastAPI) is a dedicated
- inference backend for serving the Kokoro TTS model (https://huggingface.co/hexgrad/Kokoro-82M).
- Kokoro is an open-weight text-to-speech model with 82 million parameters, delivering
- quality comparable to much larger models while being significantly faster and
- more cost-efficient.
- Supported model names are strictly limited to:
- - kokoro
- - tts-1
- - tts-1-hd
- The backend image includes a built-in model, so the model selected on the Deployments
- page may be ignored.
- Available voices:
- af_alloy, af_aoede, af_bella, af_heart, af_jadzia, af_jessica, af_kore, af_nicole,
- af_nova, af_river, af_sarah, af_sky, af_v0, af_v0bella, af_v0irulan, af_v0nicole,
- af_v0sarah, af_v0sky,
- am_adam, am_echo, am_eric, am_fenrir, am_liam, am_michael, am_onyx, am_puck, am_santa,
- am_v0adam, am_v0gurney, am_v0michael,
- bf_alice, bf_emma, bf_lily, bf_v0emma, bf_v0isabella,
- bm_daniel, bm_fable, bm_george, bm_lewis, bm_v0george, bm_v0lewis,
- ef_dora, em_alex, em_santa,
- ff_siwis,
- hf_alpha, hf_beta,
- hm_omega, hm_psi,
- if_sara, im_nicola,
- jf_alpha, jf_gongitsune, jf_nezumi, jf_tebukuro,
- jm_kumo,
- pf_dora, pm_alex, pm_santa,
- zf_xiaobei, zf_xiaoni, zf_xiaoxiao, zf_xiaoyi,
- zm_yunjian, zm_yunxi, zm_yunxia, zm_yunyang
- '
- health_check_path: /health
- version_configs:
- latest-gpu:
- image_name: ghcr.io/remsky/kokoro-fastapi-gpu:latest
- custom_framework: cuda
- latest-cpu:
- image_name: ghcr.io/remsky/kokoro-fastapi-cpu:latest
- custom_framework: cpu
- default_run_command: python -m uvicorn api.src.main:app --host 0.0.0.0 --port {{port}}
- --log-level debug
- is_built_in: false
- framework_index_map:
- cuda:
- - latest-gpu
- cpu:
- - latest-cpu
- icon: 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
- - backend_name: llama.cpp
- description: 'llama.cpp (https://github.com/ggml-org/llama.cpp) is a lightweight,
- high-performance inference engine for running large language models locally.
- It focuses on efficient CPU and edge deployment with minimal dependencies, supporting
- quantization and broad hardware compatibility.
- It enables fast, low-cost LLM inference without requiring GPUs or complex infrastructure.
- Only models in the GGUF format are supported.
- '
- version_configs:
- cuda:
- image_name: ghcr.io/ggml-org/llama.cpp:server-cuda
- custom_framework: cuda
- cpu:
- image_name: ghcr.io/ggml-org/llama.cpp:server
- custom_framework: cpu
- vulkan:
- image_name: ghcr.io/ggml-org/llama.cpp:server-vulkan
- custom_framework: rocm
- musa:
- image_name: ghcr.io/ggml-org/llama.cpp:server-musa
- custom_framework: musa
- rocm:
- image_name: ghcr.io/ggml-org/llama.cpp:server-rocm
- custom_framework: rocm
- default_version: cpu
- default_run_command: -m {{model_path}} --host 0.0.0.0 --port {{port}} --alias {{model_name}}
- is_built_in: false
- health_check_path: /v1/models
- framework_index_map:
- cuda:
- - cuda
- cpu:
- - cpu
- rocm:
- - rocm
- - vulkan
- musa:
- - musa
- icon: 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
- - backend_name: MinerU
- description: 'MinerU (https://github.com/opendatalab/mineru) is a document parsing
- engine that converts complex PDFs into structured, machine-readable formats such
- as Markdown and JSON.
- It was originally developed during the pre-training of InternLM and is particularly
- strong at handling formulas, symbols, and structured content commonly found in
- scientific literature.
- This inference backend image is built on top of the official MinerU Dockerfile:
- https://github.com/opendatalab/MinerU/blob/master/docker/global/Dockerfile
- The backend image includes a built-in model, so the model selected on the Deployments
- page may be ignored.
- '
- health_check_path: /v1/models
- default_run_command: mineru-vllm-server --port {{port}} --served-model-name {{model_name}}
- version_configs:
- 2.7.0:
- image_name: gpustackcommunity/mineru:v2.7.0
- custom_framework: cuda
- 3.0.5:
- image_name: gpustackcommunity/mineru:3.0.5
- custom_framework: cuda
- 3.0.4-a2:
- image_name: gpustackcommunity/mineru:3.0.4-800I-A2-aarch64
- custom_framework: cann
- 3.0.4-a3:
- image_name: gpustackcommunity/mineru:3.0.4-800I-A3-aarch64
- custom_framework: cann
- 3.0.4-310p:
- image_name: gpustackcommunity/mineru:3.0.4-300I-Duo-aarch64
- custom_framework: cann
- default_version: 3.0.5
- icon: 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
- - backend_name: mis-tei
- description: 'mis-tei (https://www.hiascend.com/developer/ascendhub/detail/07a016975cc341f3a5ae131f2b52399d)
- is an inference service for text embedding and reranking models in the Ascend
- ecosystem.
- It provides efficient vector generation and relevance scoring capabilities, commonly
- used in RAG, semantic search, and retrieval systems.
- Based on the Ascend CANN stack, it supports multiple embedding and reranker models
- with optimized performance on Ascend hardware.
- This backend uses a repackaged image to simplify deployment and integration within
- GPUStack environments.
- '
- health_check_path: /health
- default_run_command: --model-id {{model_path}} -p {{port}}
- default_env:
- ENABLE_BOOST: 'True'
- AUTO_TRUNCATE: 'true'
- version_configs:
- 7.3.0-a2:
- image_name: gpustackcommunity/mis-tei:7.3.0-800I-A2-aarch64
- custom_framework: cann
- 7.3.0-a3:
- image_name: gpustackcommunity/mis-tei:7.3.0-800I-A3-aarch64
- custom_framework: cann
- 7.3.0-310p:
- image_name: gpustackcommunity/mis-tei:7.3.0-300I-Duo-aarch64
- custom_framework: cann
- default_version: 7.3.0-a2
- icon: data:image/png;base64,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- - backend_name: PaddleX-GenAI-Server
- description: 'PaddleX-GenAI-Server is a production-ready serving framework within
- the PaddleX ecosystem, designed to package PaddleOCR-VL as standardized, high-performance
- API services.
- By integrating advanced inference backends such as vLLM and SGLang, it enables
- stable, scalable deployment of generative document parsing capabilities in production
- environments.
- For detailed usage instructions, please refer to:
- https://www.paddleocr.ai/latest/version3.x/pipeline_usage/PaddleOCR-VL.html
- '
- version_configs:
- latest-nvidia-gpu:
- image_name: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddleocr-genai-vllm-server:latest-nvidia-gpu
- custom_framework: cuda
- latest-nvidia-gpu-sm120:
- image_name: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddleocr-genai-vllm-server:latest-nvidia-gpu-sm120
- custom_framework: cuda
- latest-huawei-npu:
- image_name: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddleocr-genai-vllm-server:latest-huawei-npu
- custom_framework: cann
- latest-hygon-dcu:
- image_name: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddleocr-genai-vllm-server:latest-hygon-dcu
- custom_framework: dtk
- latest-iluvatar-gpu:
- image_name: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddleocr-genai-fastdeploy-server:latest-iluvatar-gpu
- run_command: paddleocr genai_server --model_name {{model_name}} --model_dir
- {{model_path}} --host 0.0.0.0 --port {{port}} --backend fastdeploy
- custom_framework: corex
- latest-metax-gpu:
- image_name: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddleocr-genai-fastdeploy-server:latest-metax-gpu
- run_command: paddleocr genai_server --model_name {{model_name}} --model_dir
- {{model_path}} --host 0.0.0.0 --port {{port}} --backend fastdeploy
- custom_framework: maca
- default_run_command: paddleocr genai_server --model_name {{MODEL_NAME}} --model_dir
- {{model_path}} --host 0.0.0.0 --port {{port}} --backend vllm
- health_check_path: /v1/models
- default_env:
- PADDLE_PDX_DISABLE_MODEL_SOURCE_CHECK: 'True'
- MODEL_NAME: PaddleOCR-VL-1.5-0.9B
- framework_index_map:
- cuda:
- - latest-nvidia-gpu
- - latest-nvidia-gpu-sm120
- cann:
- - latest-huawei-npu
- dtk:
- - latest-hygon-dcu
- corex:
- - latest-iluvatar-gpu
- maca:
- - latest-metax-gpu
- icon: 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
- - backend_name: Text-Embeddings-Inference
- description: 'TEI (Text Embeddings Inference) is a high-performance engine by Hugging
- Face specifically optimized for deploying embedding and reranking models on CUDA
- or CPU.
- It is the definitive choice for RAG production environments, offering ultra-low
- latency and superior throughput compared to general LLM frameworks like vLLM or
- llama.cpp.
- '
- health_check_path: /health
- default_run_command: --model-id {{model_path}} --port {{port}}
- is_built_in: false
- version_configs:
- CPU-1.9:
- image_name: ghcr.io/huggingface/text-embeddings-inference:cpu-1.9
- custom_framework: cpu
- CUDA-Turing-1.9:
- image_name: ghcr.io/huggingface/text-embeddings-inference:turing-1.9
- custom_framework: cuda
- CUDA-Ampere-sm80-1.9:
- image_name: ghcr.io/huggingface/text-embeddings-inference:1.9
- custom_framework: cuda
- CUDA-Ampere-sm86-1.9:
- image_name: ghcr.io/huggingface/text-embeddings-inference:86-1.9
- custom_framework: cuda
- CUDA-Ada-sm89-1.9:
- image_name: ghcr.io/huggingface/text-embeddings-inference:89-1.9
- custom_framework: cuda
- CUDA-Hopper-1.9:
- image_name: ghcr.io/huggingface/text-embeddings-inference:hopper-1.9
- custom_framework: cuda
- CUDA-Blackwell-sm100-1.9:
- image_name: ghcr.io/huggingface/text-embeddings-inference:100-1.9
- custom_framework: cuda
- CUDA-Blackwell-sm120-1.9:
- image_name: ghcr.io/huggingface/text-embeddings-inference:120-1.9
- custom_framework: cuda
- CUDA-Blackwell-sm121-1.9:
- image_name: ghcr.io/huggingface/text-embeddings-inference:121-1.9
- custom_framework: cuda
- default_version: CPU-1.9
- framework_index_map:
- cpu:
- - CPU-1.9
- cuda:
- - CUDA-Hopper-1.9
- - CUDA-Turing-1.9
- - CUDA-Ampere-sm80-1.9
- - CUDA-Ampere-sm86-1.9
- - CUDA-Ada-sm89-1.9
- - CUDA-Blackwell-sm100-1.9
- - CUDA-Blackwell-sm120-1.9
- - CUDA-Blackwell-sm121-1.9
- icon: 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