You can deploy this model and start earning money today!

yaww85/
all-MiniLM-L6-v2-hidden-states-exposed-v1

Name: all-MiniLM-L6-v2-hidden-states-exposed-v1
Availability: InStock

onnxruntime

onnx

sentence-transformers

feature-extraction

sentence-similarity

sentence-transformers/all-MiniLM-L6-v2

quantized

apache-2.0

Views

No views yet

all-MiniLM-L6-v2 — ONNX with All Hidden States

A re-export of sentence-transformers/all-MiniLM-L6-v2 to ONNX format with all intermediate hidden layer outputs exposed.

Changes from the Original

The standard HuggingFace ONNX export only includes last_hidden_state. This export sets output_hidden_states=True and wraps the model to expose all 7 hidden state layers as named outputs:

Output	Description
`last_hidden_state`	Final transformer layer (contextualized embeddings)
`hidden_states.0`	Input embedding layer (static, context-independent)
`hidden_states.1` — `hidden_states.6`	Intermediate transformer layers

This enables use cases that require access to both static and contextualized representations — for example, comparing layer-0 embeddings (word identity) against layer-6 embeddings (contextual meaning) for semantic analysis.

Files

File	Description	Size
`model.onnx`	ONNX model graph (opset 17)	~57 KB
`model.onnx.data`	External tensor weights	~87 MB
`vocab.txt`	WordPiece vocabulary (30,522 tokens)	~227 KB

Export Reproduction

This model was produced by the export script at bounded_contexts/exocortex/platform/models/minilm/export_minilm.py:

bash

cd bounded_contexts/exocortex/platform/models/minilm
uv run python export_minilm.py

Attribution

This is a derivative of sentence-transformers/all-MiniLM-L6-v2 by Nils Reimers, licensed under Apache 2.0.

The only modification is the ONNX re-export with all hidden layer outputs enabled. No model weights were altered.

yaww85/all-MiniLM-L6-v2-hidden-states-exposed-v1