mohan11111
commited on
Upload model files
Browse files- .gitattributes +1 -0
- config.json +28 -0
- generation_config.json +7 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +101 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +291 -0
- special_tokens_map.json +30 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +50 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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config.json
ADDED
@@ -0,0 +1,28 @@
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{
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"_name_or_path": "SeaLLMs/SeaLLM-7B-v2.5",
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"architectures": [
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"GemmaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"eos_token_id": 1,
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"head_dim": 256,
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"hidden_act": "gelu",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 24576,
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"max_position_embeddings": 8192,
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"model_type": "gemma",
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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"num_key_value_heads": 16,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"transformers_version": "4.43.4",
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"use_cache": true,
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"vocab_size": 256000
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}
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generation_config.json
ADDED
@@ -0,0 +1,7 @@
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.43.4"
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}
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openvino_detokenizer.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd6b48e24299296c6ae555fbd28839cfdbaee2931485631c394eebb5dc24a2d8
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size 4241003
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openvino_detokenizer.xml
ADDED
@@ -0,0 +1,101 @@
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_150336" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_150336">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_150312" type="Const" version="opset1">
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<data element_type="u8" shape="4241003" offset="0" size="4241003" />
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<output>
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<port id="0" precision="U8">
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<dim>4241003</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_150346" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceDetokenizer_150337" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>4241003</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="StringTensorPack_150338" type="StringTensorPack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="STRING" names="string_output">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Result_150339" type="Result" version="opset1">
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<input>
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<port id="0" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
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<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
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<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
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</edges>
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<rt_info>
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<bos_token_id value="2" />
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<chat_template value="{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<eos>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
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<eos_token_id value="1" />
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<original_tokenizer_class value="<class 'transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast'>" />
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<pad_token_id value="0" />
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</rt_info>
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</net>
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openvino_model.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:4887405266eee747d407331ed965cd045db2e2ed9f3ba3ffa9a3fd024d7a93f7
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size 4814826252
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openvino_model.xml
ADDED
The diff for this file is too large to render.
See raw diff
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openvino_tokenizer.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6968f4fa312d9a1c06b1e247563de545661ed4b516bbab33fb2bb50a4aa604e
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size 4241019
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openvino_tokenizer.xml
ADDED
@@ -0,0 +1,291 @@
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<?xml version="1.0"?>
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<net name="tokenizer" version="11">
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<layers>
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<layer id="0" name="string_input" type="Parameter" version="opset1">
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<data shape="?" element_type="string" />
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<output>
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<port id="0" precision="STRING" names="string_input">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_150315" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="0" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="2" name="Constant_150311" type="Const" version="opset1">
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<data element_type="u8" shape="4241003" offset="4" size="4241003" />
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<output>
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<port id="0" precision="U8">
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<dim>4241003</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceTokenizer_150314" type="SentencepieceTokenizer" version="extension">
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<data nbest_size="0" alpha="0" add_bos="true" add_eos="false" reverse="true" />
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<input>
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<port id="0" precision="U8">
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<dim>4241003</dim>
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</port>
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<port id="1" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I64">
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<dim>-1</dim>
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<dim>2</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="I64">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="Broadcast_150316" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
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<port id="0" precision="I32" />
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<port id="1" precision="I64">
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<dim>2</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Constant_150317" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="4241007" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="6" name="ShapeOf_150318" type="ShapeOf" version="opset3">
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<data output_type="i64" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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78 |
+
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|
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|
80 |
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|
81 |
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|
82 |
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|
83 |
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<layer id="7" name="Broadcast_150319" type="Broadcast" version="opset3">
|
84 |
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<data mode="numpy" />
|
85 |
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<input>
|
86 |
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|
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|
88 |
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|
89 |
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|
90 |
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|
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<output>
|
92 |
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<port id="2" precision="I32">
|
93 |
+
<dim>-1</dim>
|
94 |
+
</port>
|
95 |
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</output>
|
96 |
+
</layer>
|
97 |
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<layer id="8" name="ScatterNDUpdate_150323" type="ScatterNDUpdate" version="opset4">
|
98 |
+
<input>
|
99 |
+
<port id="0" precision="I32">
|
100 |
+
<dim>-1</dim>
|
101 |
+
<dim>-1</dim>
|
102 |
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</port>
|
103 |
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<port id="1" precision="I64">
|
104 |
+
<dim>-1</dim>
|
105 |
+
<dim>2</dim>
|
106 |
+
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|
107 |
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<port id="2" precision="I32">
|
108 |
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<dim>-1</dim>
|
109 |
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|
110 |
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|
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|
112 |
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<port id="3" precision="I32">
|
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<dim>-1</dim>
|
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<dim>-1</dim>
|
115 |
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|
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|
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|
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|
119 |
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|
120 |
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|
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|
122 |
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<dim>1</dim>
|
123 |
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|
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|
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|
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<layer id="10" name="Reverse_150328" type="Reverse" version="opset1">
|
127 |
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|
128 |
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|
129 |
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|
130 |
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<dim>-1</dim>
|
131 |
+
<dim>-1</dim>
|
132 |
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|
133 |
+
<port id="1" precision="I64">
|
134 |
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<dim>1</dim>
|
135 |
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|
136 |
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|
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|
138 |
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|
139 |
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|
140 |
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|
141 |
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|
142 |
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|
143 |
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|
144 |
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|
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|
146 |
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<input>
|
147 |
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|
148 |
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|
149 |
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<dim>-1</dim>
|
150 |
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|
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|
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|
153 |
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<port id="1" precision="I64" names="attention_mask">
|
154 |
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<dim>-1</dim>
|
155 |
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<dim>-1</dim>
|
156 |
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|
157 |
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|
158 |
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|
159 |
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<layer id="13" name="Constant_150324" type="Const" version="opset1">
|
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|
161 |
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|
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|
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|
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|
165 |
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<layer id="14" name="Broadcast_150325" type="Broadcast" version="opset3">
|
166 |
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|
167 |
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<input>
|
168 |
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|
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|
170 |
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|
171 |
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|
172 |
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|
173 |
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|
174 |
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|
175 |
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|
176 |
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<dim>-1</dim>
|
177 |
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|
178 |
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|
179 |
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</layer>
|
180 |
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<layer id="15" name="ScatterNDUpdate_150326" type="ScatterNDUpdate" version="opset4">
|
181 |
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|
182 |
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<port id="0" precision="I32">
|
183 |
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<dim>-1</dim>
|
184 |
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<dim>-1</dim>
|
185 |
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|
186 |
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<port id="1" precision="I64">
|
187 |
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<dim>-1</dim>
|
188 |
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<dim>2</dim>
|
189 |
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|
190 |
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<port id="2" precision="I32">
|
191 |
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<dim>-1</dim>
|
192 |
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|
193 |
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|
194 |
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<output>
|
195 |
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<port id="3" precision="I32">
|
196 |
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<dim>-1</dim>
|
197 |
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<dim>-1</dim>
|
198 |
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|
199 |
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|
200 |
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|
201 |
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<layer id="16" name="Constant_150329" type="Const" version="opset1">
|
202 |
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|
203 |
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<output>
|
204 |
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<port id="0" precision="I64">
|
205 |
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<dim>1</dim>
|
206 |
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</port>
|
207 |
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</output>
|
208 |
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|
209 |
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<layer id="17" name="Reverse_150330" type="Reverse" version="opset1">
|
210 |
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<data mode="index" />
|
211 |
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<input>
|
212 |
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<port id="0" precision="I32">
|
213 |
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<dim>-1</dim>
|
214 |
+
<dim>-1</dim>
|
215 |
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</port>
|
216 |
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<port id="1" precision="I64">
|
217 |
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<dim>1</dim>
|
218 |
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</port>
|
219 |
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</input>
|
220 |
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<output>
|
221 |
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<port id="2" precision="I32">
|
222 |
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<dim>-1</dim>
|
223 |
+
<dim>-1</dim>
|
224 |
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</port>
|
225 |
+
</output>
|
226 |
+
</layer>
|
227 |
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<layer id="18" name="Reverse_150330" type="Convert" version="opset1">
|
228 |
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<data destination_type="i64" />
|
229 |
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<input>
|
230 |
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<port id="0" precision="I32">
|
231 |
+
<dim>-1</dim>
|
232 |
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<dim>-1</dim>
|
233 |
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</port>
|
234 |
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</input>
|
235 |
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<output>
|
236 |
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<port id="1" precision="I64" names="input_ids">
|
237 |
+
<dim>-1</dim>
|
238 |
+
<dim>-1</dim>
|
239 |
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</port>
|
240 |
+
</output>
|
241 |
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</layer>
|
242 |
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<layer id="19" name="Result_150331" type="Result" version="opset1">
|
243 |
+
<input>
|
244 |
+
<port id="0" precision="I64">
|
245 |
+
<dim>-1</dim>
|
246 |
+
<dim>-1</dim>
|
247 |
+
</port>
|
248 |
+
</input>
|
249 |
+
</layer>
|
250 |
+
<layer id="12" name="Result_150332" type="Result" version="opset1">
|
251 |
+
<input>
|
252 |
+
<port id="0" precision="I64">
|
253 |
+
<dim>-1</dim>
|
254 |
+
<dim>-1</dim>
|
255 |
+
</port>
|
256 |
+
</input>
|
257 |
+
</layer>
|
258 |
+
</layers>
|
259 |
+
<edges>
|
260 |
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<edge from-layer="0" from-port="0" to-layer="3" to-port="1" />
|
261 |
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<edge from-layer="1" from-port="0" to-layer="4" to-port="0" />
|
262 |
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<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
263 |
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<edge from-layer="3" from-port="4" to-layer="4" to-port="1" />
|
264 |
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<edge from-layer="3" from-port="3" to-layer="6" to-port="0" />
|
265 |
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<edge from-layer="3" from-port="2" to-layer="8" to-port="1" />
|
266 |
+
<edge from-layer="3" from-port="3" to-layer="15" to-port="2" />
|
267 |
+
<edge from-layer="3" from-port="2" to-layer="15" to-port="1" />
|
268 |
+
<edge from-layer="3" from-port="4" to-layer="14" to-port="1" />
|
269 |
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<edge from-layer="4" from-port="2" to-layer="8" to-port="0" />
|
270 |
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<edge from-layer="5" from-port="0" to-layer="7" to-port="0" />
|
271 |
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<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
|
272 |
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<edge from-layer="7" from-port="2" to-layer="8" to-port="2" />
|
273 |
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<edge from-layer="8" from-port="3" to-layer="10" to-port="0" />
|
274 |
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<edge from-layer="9" from-port="0" to-layer="10" to-port="1" />
|
275 |
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<edge from-layer="10" from-port="2" to-layer="11" to-port="0" />
|
276 |
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<edge from-layer="11" from-port="1" to-layer="12" to-port="0" />
|
277 |
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<edge from-layer="13" from-port="0" to-layer="14" to-port="0" />
|
278 |
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<edge from-layer="14" from-port="2" to-layer="15" to-port="0" />
|
279 |
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<edge from-layer="15" from-port="3" to-layer="17" to-port="0" />
|
280 |
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<edge from-layer="16" from-port="0" to-layer="17" to-port="1" />
|
281 |
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<edge from-layer="17" from-port="2" to-layer="18" to-port="0" />
|
282 |
+
<edge from-layer="18" from-port="1" to-layer="19" to-port="0" />
|
283 |
+
</edges>
|
284 |
+
<rt_info>
|
285 |
+
<bos_token_id value="2" />
|
286 |
+
<chat_template value="{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<eos>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
|
287 |
+
<eos_token_id value="1" />
|
288 |
+
<original_tokenizer_class value="<class 'transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast'>" />
|
289 |
+
<pad_token_id value="0" />
|
290 |
+
</rt_info>
|
291 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<bos>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<eos>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<pad>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4db21bfaffa1fd75fd741df2d95dc51e539d5cc38b07934bae0d7d129db90662
|
3 |
+
size 17477581
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
|
3 |
+
size 4241003
|
tokenizer_config.json
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<pad>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<eos>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<bos>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"3": {
|
30 |
+
"content": "<unk>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
}
|
37 |
+
},
|
38 |
+
"bos_token": "<bos>",
|
39 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<eos>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
40 |
+
"clean_up_tokenization_spaces": false,
|
41 |
+
"eos_token": "<eos>",
|
42 |
+
"legacy": null,
|
43 |
+
"model_max_length": 1000000000000000019884624838656,
|
44 |
+
"pad_token": "<pad>",
|
45 |
+
"sp_model_kwargs": {},
|
46 |
+
"spaces_between_special_tokens": false,
|
47 |
+
"tokenizer_class": "GemmaTokenizer",
|
48 |
+
"unk_token": "<unk>",
|
49 |
+
"use_default_system_prompt": false
|
50 |
+
}
|