RBLN NPU에서 bge-m3 서빙¶

{"attn": "eager", "axes": [{"axis": "lmcache", "options": [{"label": "Off", "value": "off"}, {"label": "LMCache (CPU)", "value": "cpu"}, {"label": "LMCache (RDS)", "value": "rds"}], "title": "KV Offload"}, {"axis": "kv_connector", "options": [{"label": "Off", "value": "off"}, {"label": "LMCache (CPU)", "value": "lmcache_cpu"}, {"label": "LMCache (RDS)", "value": "lmcache_rds"}], "title": "KV Offload"}, {"axis": "prefix_caching", "options": [{"label": "On", "value": "on"}, {"label": "On (sub-block)", "value": "on_sub_block"}, {"label": "Off", "value": "off"}], "title": "Prefix Caching"}, {"axis": "spec_decode", "options": [{"label": "Off", "value": "off"}, {"label": "N-gram", "value": "ngram"}, {"label": "EAGLE-3", "value": "eagle3"}, {"label": "Suffix", "value": "suffix"}, {"label": "MTP", "value": "mtp"}], "title": "Speculative Decoding"}, {"axis": "on_device_sampler", "options": [{"label": "On", "value": "on"}, {"label": "Off", "value": "off"}], "title": "On-device Sampler"}, {"axis": "structured_output", "options": [{"label": "On", "value": "on"}, {"label": "Off", "value": "off"}], "title": "Structured Output"}], "badges": ["Embedding", "8,192 ctx", {"hl": true, "text": "vllm-rbln"}, "eager", "Text"], "client": "curl http://localhost:8000/v1/embeddings \\\n    -H \"Content-Type: application/json\" \\\n    -d \u0027{\n      \"model\": \"bge-m3\",\n      \"input\": \"The quick brown fox jumps over the lazy dog.\"\n    }\u0027", "features": {"api": true, "mm": false, "text": true}, "hf": "https://huggingface.co/BAAI/bge-m3", "installLine": "pip install rebel-compiler vllm-rbln", "model": "BAAI/bge-m3", "name": "bge-m3", "provider": "BAAI", "strategies": [{"label": "RSD", "nodes": null, "options": [{"attn": null, "features": {}, "label": null, "modelImpl": "transformers", "note": null, "npus": 1, "roles": [{"cmd": "vllm serve BAAI/bge-m3 \\\n    --max-model-len 8192 \\\n    --model-impl transformers \\\n    --rbln-num-devices-per-local-rank 1 \\\n    --served-model-name bge-m3", "role": "main"}], "skus": ["RBLN-CA22", "RBLN-CA25"], "target": null, "verified": "2026-10-16"}], "slug": "rsd", "tag": "Aggregated", "variant": "BF16"}], "text": {"en": {"strategyNote": "Served through vLLM\u0027s \u003ccode\u003e/v1/embeddings\u003c/code\u003e endpoint. See \u003cstrong\u003eConfiguration\u003c/strong\u003e in the guide for the engine arguments.", "sub": "bge-m3 \u2014 text-embedding model served on RBLN NPUs with RBLN vLLM over the OpenAI-compatible API.", "tag": "The vllm serve command compiles the model on first run and starts an OpenAI-compatible server."}, "ko": {"strategyNote": "vLLM\uc758 \u003ccode\u003e/v1/embeddings\u003c/code\u003e \uc5d4\ub4dc\ud3ec\uc778\ud2b8\ub85c \uc11c\ube59\ub429\ub2c8\ub2e4. \uc5d4\uc9c4 \uc778\uc790\ub294 \uac00\uc774\ub4dc\uc758 \u003cstrong\u003eConfiguration\u003c/strong\u003e\uc5d0\uc11c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.", "sub": "bge-m3 \u2014 \ud14d\uc2a4\ud2b8 \uc784\ubca0\ub529 \ubaa8\ub378, RBLN vLLM\uc73c\ub85c RBLN NPU\uc5d0\uc11c OpenAI \ud638\ud658 API\ub85c \uc11c\ube59\ud569\ub2c8\ub2e4.", "tag": "vllm serve \uba85\ub839\uc740 \ucd5c\ucd08 \uc2e4\ud589 \uc2dc \ubaa8\ub378\uc744 \ucef4\ud30c\uc77c\ud558\uace0 OpenAI \ud638\ud658 \uc11c\ubc84\ub97c \uc2dc\uc791\ud569\ub2c8\ub2e4."}}, "variant": "BF16"}

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$ pip install \
  --extra-index-url https://pypi.rbln.ai/simple \
  rebel-compiler==0.12.0

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$ pip install \
  --extra-index-url https://wheels.vllm.ai/0.30.0/cpu \
  --extra-index-url https://download.pytorch.org/whl/cpu \
  vllm-rbln==0.12.0