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gungorbasa/retrievalkit-minilm
retrievalkit-minilm is a feature extraction model from gungorbasa. Use it when you need embeddings to search or compare text. It is set up for onnxruntime. The card lists the license as apache-2.0.
This repository contains deterministic runtime exports used by RetrievalKit's optional embedding experiment. They are derived from sentence-transformers/all-MiniLM-L6-v2 at source revision c9745ed1d9f207416be6d2e6f8de…
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From the Hugging Face model README
This repository contains deterministic runtime exports used by RetrievalKit's
optional embedding experiment. They are derived from
sentence-transformers/all-MiniLM-L6-v2
at source revision
c9745ed1d9f207416be6d2e6f8de32d1f16199bf.
The ONNX models have dynamic batch and sequence axes. Callers must enforce the 256-token limit and pad batches only as needed.
| Profile | ONNX | Core ML |
|---|---|---|
| FP32 | FP32 weights | FP32 ML Program |
| FP16 | FP16 weights with F32 I/O | FP16 ML Program |
| Q8 | dynamic signed-INT8 weights/activations | weight-only signed-INT8 with FP16 compute |
All profiles return the same normalized F32 embedding contract, but different runtimes and precision profiles are not expected to be byte-identical. Applications should use the same profile for document and query embeddings unless a cross-profile combination has been separately qualified.
manifest-v1.json is the authoritative artifact inventory. It records the
source revision, tokenizer files, input/output contract, sizes, quantization
schemes, and SHA-256 digests. RetrievalKit clients pin an immutable repository
revision rather than downloading from main.
These artifacts are experimental. No latency or retrieval-quality claim should be inferred from their presence; measured qualification is published separately in the RetrievalKit repository.
The source model declares Apache-2.0. RetrievalKit's conversion tooling and
packaging are also Apache-2.0. See LICENSE, NOTICE, the upstream model card,
and manifest-v1.json for provenance.