| license: apache-2.0 | |
| library_name: onnx | |
| pipeline_tag: sentence-similarity | |
| tags: | |
| - wyrdsekai | |
| - embeddings | |
| - onnx | |
| - quantized | |
| base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | |
| # Wyrdsekai embedding models (ONNX, int8) | |
| Int8 ONNX quantizations of open sentence-transformer encoders, repackaged so | |
| [wyrdsekai](https://github.com/Wyrdsekai/wyrdsekai) installers have a stable, | |
| versioned mirror. These are **not wyrdsekai fine-tunes** (with one noted | |
| exception) — credit and licenses belong to the upstream authors. | |
| | File | Upstream | Role in wyrdsekai | | |
| |---|---|---| | |
| | `paraphrase-multilingual-MiniLM-L12-v2-q8.onnx` (+tokenizer, `paraphrase-l12/`) | [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) | Default retrieval encoder (384-d): memory, library and tool-description search. Installed by `wyrd setup`. | | |
| | `paraphrase-multilingual-MiniLM-L12-v2-setfit-q8.onnx` | same base, SetFit-tuned by wyrdsekai | Classifier-head encoder (task routing). Tuned on synthetic labelled corpora only; kept **separate** from the retrieval encoder on purpose — SetFit tuning degrades retrieval quality. | | |
| | `minilm-l6-v2-q8.onnx` (+tokenizer) | [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) | Lightweight fallback for constrained devices. | | |
| All upstream models are Apache 2.0; the quantizations carry the same license. | |
| Hardware permitting, `wyrd embedding-model download bge-m3` upgrades retrieval to | |
| [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) (fetched from its own repo, not | |
| mirrored here). | |