embeddinggemma-300m Core AI fp32 static (seq 256), rebuilt on Linux box 2026-08-17; producer coreai-core 1.0.0b2; tokenizer bit-identical to mlboydaisuke@d9a60a18, main.mlirb +262 B (conversion is not byte-deterministic)

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model/embeddinggemma-300m_float32_static.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+model/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,39 @@
+---
+license: gemma
+base_model: google/embeddinggemma-300m
+library_name: coreai
+tags:
+  - coreai
+  - aimodel
+  - sentence-embedding
+  - on-device
+  - apple-silicon
+pipeline_tag: sentence-similarity
+extra_gated_heading: Access EmbeddingGemma on Hugging Face
+extra_gated_description: >-
+  This artifact is a derivative of google/embeddinggemma-300m and is governed by
+  the Gemma Terms of Use, the Gemma Prohibited Use Policy and the Gemma license.
+---
+
+# embeddinggemma-300m — Core AI (.aimodel)
+
+`google/embeddinggemma-300m` exported as a single static fp32 Core AI graph
+(transformer -> mean pooling -> dense stack -> L2 normalize, all in-graph).
+
+| | |
+|---|---|
+| Recipe | `coreai-model-zoo/conversion/export_embeddinggemma.py --dtype float32 --seq-len 256` |
+| Recipe index | `models/qwen3-embedding/recipe.toml` -> `["embeddinggemma-300m"]` (`status = "verified"`) |
+| Upstream bundle | `mlboydaisuke/embeddinggemma-300m-CoreAI` |
+| Producer | `coreai-core 1.0.0b2` (coreai-torch 0.4.1, torch 2.9.0) |
+| I/O | `input_ids [1,256] int32`, `attention_mask [1,256] int32` -> `embedding [1,768]` fp32, L2-normalized |
+
+Built on Linux x86_64 (conversion only). **Runtime parity is not measured here** —
+Core AI cannot execute on Linux; the on-device parity gate runs on macOS against
+`model/reference.json`.
+
+## License
+
+Derivative of EmbeddingGemma; use is subject to the
+[Gemma Terms of Use](https://ai.google.dev/gemma/terms) and the
+[Gemma Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy).

model/embeddinggemma-300m_float32_static.aimodel/main.hash

@@ -0,0 +1 @@
+�������٫;��rj�HH�#��E��D�ݤ�

model/embeddinggemma-300m_float32_static.aimodel/main.mlirb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f02b286f1f2e09fd9ab3bcffb726ac74848ec8e23baa545f28cd6448ddda4a9
+size 1244157766

model/embeddinggemma-300m_float32_static.aimodel/metadata.json

@@ -0,0 +1,8 @@
+{
+  "author" : "Google DeepMind",
+  "assetVersion" : "2.0",
+  "creationDate" : "20260817T201458Z",
+  "producer" : "coreai-core 1.0.0b2",
+  "description" : "EmbeddingGemma-300m text embedding model (mean pooling + dense projection, L2-normalized 768-d). Source: https:\/\/huggingface.co\/google\/embeddinggemma-300m",
+  "license" : "Gemma"
+}

model/reference.json

@@ -0,0 +1,47 @@
+{
+  "model": "google/embeddinggemma-300m",
+  "seq_len": 256,
+  "dtype": "float32",
+  "prompts": {
+    "query": "task: search result | query: ",
+    "document": "title: none | text: ",
+    "BitextMining": "task: search result | query: ",
+    "Clustering": "task: clustering | query: ",
+    "Classification": "task: classification | query: ",
+    "InstructionRetrieval": "task: code retrieval | query: ",
+    "MultilabelClassification": "task: classification | query: ",
+    "PairClassification": "task: sentence similarity | query: ",
+    "Reranking": "task: search result | query: ",
+    "Retrieval": "task: search result | query: ",
+    "Retrieval-query": "task: search result | query: ",
+    "Retrieval-document": "title: none | text: ",
+    "STS": "task: sentence similarity | query: ",
+    "Summarization": "task: summarization | query: "
+  },
+  "texts": {
+    "query_bike": {
+      "kind": "query",
+      "text": "red bicycle parked at the beach"
+    },
+    "query_capital": {
+      "kind": "query",
+      "text": "what is the capital of Japan"
+    },
+    "doc_bike": {
+      "kind": "document",
+      "text": "A crimson bike leaning against a palm tree by the sea."
+    },
+    "doc_tokyo": {
+      "kind": "document",
+      "text": "Tokyo is the capital and largest city of Japan."
+    }
+  },
+  "cosines": {
+    "query_bike|query_capital": 0.1459198147058487,
+    "doc_bike|query_bike": 0.6273255348205566,
+    "doc_bike|query_capital": 0.03804422914981842,
+    "doc_bike|doc_tokyo": 0.20749269425868988,
+    "doc_tokyo|query_bike": 0.08935077488422394,
+    "doc_tokyo|query_capital": 0.5779669880867004
+  }
+}

model/tokenizer/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcb89366c4787d27671d021cdc006defcd1cb53b02b04213ae8dd47c009c7f71
+size 33385272

model/tokenizer/tokenizer_config.json

@@ -0,0 +1,25 @@
+{
+  "backend": "tokenizers",
+  "boi_token": "<start_of_image>",
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eoi_token": "<end_of_image>",
+  "eos_token": "<eos>",
+  "image_token": "<image_soft_token>",
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "<mask>",
+  "model_max_length": 2048,
+  "model_specific_special_tokens": {
+    "boi_token": "<start_of_image>",
+    "eoi_token": "<end_of_image>",
+    "image_token": "<image_soft_token>"
+  },
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "sp_model_kwargs": null,
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}