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| { | |
| "schema_version": 2, | |
| "name": "RouteFM", | |
| "model_version": "1.0.0", | |
| "package_version": "1.0.1", | |
| "license": "Apache-2.0", | |
| "paper": { | |
| "title": "Pretrain Once, Route Anywhere: Towards a Foundation Model for LLM Routing", | |
| "authors": [ | |
| "Guannan Lai", | |
| "Han-Jia Ye" | |
| ], | |
| "arxiv": "2609.37362", | |
| "url": "https://arxiv.org/abs/2609.37362", | |
| "doi": "10.48550/arXiv.2609.37362", | |
| "published": "2026-09-29" | |
| }, | |
| "source": { | |
| "repository": "https://github.com/LAMDA-Model-Reuse/RouteFM", | |
| "model_source_tag": "v1.0.0", | |
| "model_source_commit": "4a9e4dbbae791d8d24e06d4b90fe46edc562ed80" | |
| }, | |
| "hub": { | |
| "repository": "AIGNLAI/RouteFM", | |
| "artifact_revision": "b364300234794b0e6394453d224ddab7c94e41d0", | |
| "model_tag": "model-v1.0.0" | |
| }, | |
| "training": "one continuous 10,000-step random-initialization run per encoder", | |
| "encoders": { | |
| "qwen": { | |
| "canonical_weight": "qwen/model.safetensors", | |
| "canonical_weight_sha256": "881b648ead20565da38a7f6ee9516dd0a45d3747add41c44d300ac24433b9cb8", | |
| "canonical_weight_size_bytes": 51145068, | |
| "config": "qwen/config.json", | |
| "config_sha256": "0a0f63b954fa3e4472fdd8c51abff33bbc6a12bf0ea267eab0a4604ebcaf6231", | |
| "legacy_weight": "legacy/routefm_qwen.pt", | |
| "legacy_weight_sha256": "e28d6203e99cf5f10f42293c561b80d17e866bc7bd69a696928ea836e6b7cccc", | |
| "source_checkpoint_sha256": "5e7ad02b565718a1598f7392a32ee244b1eb66c3170d0d65a1f348ddd751d09b", | |
| "training_config": "configs/pretrain_qwen.json", | |
| "training_config_sha256": "2372f59ef6f8cf5ea8c121dd5dc1102a5276f1251ec532112d3fd2330834b9da", | |
| "embedding_dimension": 4096, | |
| "step": 10000, | |
| "parameters": 12781059 | |
| }, | |
| "bge": { | |
| "canonical_weight": "bge/model.safetensors", | |
| "canonical_weight_sha256": "3245698f2f6bd4cb607cc3af8875d63ba04172f33abd25b286d1b2968c679662", | |
| "canonical_weight_size_bytes": 44302700, | |
| "config": "bge/config.json", | |
| "config_sha256": "6cdc9e9d5ccad4ed9e2543e26ea5adf7def5830189a25e3349ae183c5e7535ea", | |
| "legacy_weight": "legacy/routefm_bge.pt", | |
| "legacy_weight_sha256": "0f7ce1b269499a6938a5722511a489eb1a701e17dfd2605f49d47a19edeffcde", | |
| "source_checkpoint_sha256": "d177e8255e9f01441b9b1fd6f8d853dbc391074fa912c8484351bae8bc086577", | |
| "training_config": "configs/pretrain_bge.json", | |
| "training_config_sha256": "38a9703ae24eea5b4bd2c3a7f651c82d756d3ac3dbe20daf7c0b1122fd16b2a8", | |
| "embedding_dimension": 768, | |
| "step": 10000, | |
| "parameters": 11070467 | |
| } | |
| }, | |
| "mmrbench": { | |
| "version": "MMR-Bench V1", | |
| "split": "published seed-31010 within-dataset 40:60 IDs", | |
| "status": "retrospective post-selected illustrative split" | |
| }, | |
| "external_assets_not_included": [ | |
| "pretraining source datasets", | |
| "MMR-Bench V1 records and images", | |
| "Qwen3-VL embedding service/model", | |
| "BGE-base-en-v1.5 model" | |
| ] | |
| } | |