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.gitattributes

@@ -33,3 +33,4 @@ 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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,26 @@
----
-license: mit
----
+---
+license: mit
+---
+
+Converted [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) model (dense retriever only) in onnx int8 format for use with [Vespa Embedding](https://docs.vespa.ai/en/embedding.html).
+
+- BAAI-bge-m3_quantized.onnx (int8 quantized)
+
+The model was quantized using the [optimum](https://github.com/huggingface/optimum) toolkit.
+
+## Tips: conver to int8 quantized
+```
+# https://github.com/vespa-engine/sample-apps/blob/master/simple-semantic-search/export_hf_model_from_hf.py
+./export_hf_model_from_hf.py --hf_model BAAI/bge-m3 --output_dir bge-m3
+```
+
+```
+optimum-cli onnxruntime quantize --onnx_model ./bge-m3  -o bge-m3-large_quantized --avx512_vnni
+```
+
+## License
+The license for this model is based on the original license (found in the LICENSE file in the project's root directory), which is the MIT License.
+- https://huggingface.co/BAAI/bge-m3
+
+## Attribution
+All credits for this model go to the authors of BAAI/bge-m3 and the associated researchers and organizations. When using this model, please be sure to attribute the original authors.

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "m3",
+  "architectures": [
+    "XLMRobertaModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 8194,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.onnx

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ort_config.json

@@ -0,0 +1,35 @@
+{
+  "one_external_file": true,
+  "opset": null,
+  "optimization": {},
+  "optimum_version": "1.17.1",
+  "quantization": {
+    "activations_dtype": "QUInt8",
+    "activations_symmetric": false,
+    "format": "QOperator",
+    "is_static": false,
+    "mode": "IntegerOps",
+    "nodes_to_exclude": [],
+    "nodes_to_quantize": [],
+    "operators_to_quantize": [
+      "Conv",
+      "MatMul",
+      "Attention",
+      "LSTM",
+      "Gather",
+      "Transpose",
+      "EmbedLayerNormalization"
+    ],
+    "per_channel": false,
+    "qdq_add_pair_to_weight": false,
+    "qdq_dedicated_pair": false,
+    "qdq_op_type_per_channel_support_to_axis": {
+      "MatMul": 1
+    },
+    "reduce_range": false,
+    "weights_dtype": "QInt8",
+    "weights_symmetric": true
+  },
+  "transformers_version": "4.35.2",
+  "use_external_data_format": false
+}

special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
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+    "rstrip": false,
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+    "single_word": false
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+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
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+  "mask_token": {
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+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
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+    "normalized": false,
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+size 17082821

tokenizer_config.json

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+{
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 8192,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}