Model card

README.md

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+---
+license: apache-2.0
+library_name: onnx
+pipeline_tag: text-ranking
+base_model:
+- cross-encoder/ms-marco-MiniLM-L2-v2
+- cross-encoder/ms-marco-MiniLM-L4-v2
+- cross-encoder/ms-marco-MiniLM-L6-v2
+- cross-encoder/ms-marco-MiniLM-L12-v2
+---
+
+# Marlowe memory rerankers
+
+Fine-tuned MS MARCO MiniLM cross-encoders (ONNX) that MarloweCowork uses to rerank recalled memories.
+The app downloads them on first launch, after the user agrees, and checks every file against a sha256
+pinned in its code.
+
+| Folder | Use |
+|---|---|
+| `ms-marco-MiniLM-L-2-v2-ft-session-j` | the shipped reranker (CPU) |
+| `ms-marco-MiniLM-L-6-v2-ft-session-j`, `ms-marco-MiniLM-L-{2,4,6,12}-v2-ft-w1` | the GPU rerank cascade (CUDA builds) |
+
+Each folder holds `model.onnx` and the shared `tokenizer.json`. The embedder is the upstream
+`jinaai/jina-embeddings-v2-small-en`.