Commit
•
23a6947
1
Parent(s):
cb47777
Upload folder using huggingface_hub
Browse files- README.md +1 -1
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +97 -0
- openvino_model.xml +4 -4
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +231 -0
README.md
CHANGED
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@@ -14,7 +14,7 @@ This is [open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_
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| 14 |
Weight compression was performed using `nncf.compress_weights` with the following parameters:
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* mode: **int8_asym**
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-
* ratio: **1**
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For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html).
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| 14 |
Weight compression was performed using `nncf.compress_weights` with the following parameters:
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* mode: **int8_asym**
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+
* ratio: **1.0**
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For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html).
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openvino_detokenizer.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:9200b58939b5f15eda267b46cd367416c6ffec891653b50930b2cb0944c0f112
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+
size 511574
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openvino_detokenizer.xml
ADDED
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@@ -0,0 +1,97 @@
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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_144407" 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_144407">
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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_144387" type="Const" version="opset1">
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<data element_type="u8" shape="511574" offset="0" size="511574" />
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<output>
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<port id="0" precision="U8">
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<dim>511574</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_144417" 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_144408" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>511574</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_144409" 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_144410" 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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<eos_token_id value="2" />
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</rt_info>
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</net>
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openvino_model.xml
CHANGED
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@@ -88620,10 +88620,10 @@
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</weight_compression>
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</nncf>
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<optimum>
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<nncf_version value="2.12.0.dev0+
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<optimum_intel_version value="1.19.0.dev0+
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<optimum_version value="1.21.
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<pytorch_version value="2.3.
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<transformers_version value="4.41.2" />
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</optimum>
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</rt_info>
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</weight_compression>
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</nncf>
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<optimum>
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<nncf_version value="2.12.0.dev0+d033c6a8" />
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<optimum_intel_version value="1.19.0.dev0+480eea1" />
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<optimum_version value="1.21.2" />
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<pytorch_version value="2.3.1+cpu" />
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<transformers_version value="4.41.2" />
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</optimum>
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</rt_info>
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openvino_tokenizer.bin
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:b7b77cf2b305f5fcd17706d2242cec5e69576e6888853fee55fef0c734926605
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+
size 511582
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openvino_tokenizer.xml
ADDED
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@@ -0,0 +1,231 @@
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| 1 |
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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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| 5 |
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<data shape="?" element_type="string" />
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| 6 |
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<output>
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| 7 |
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<port id="0" precision="STRING" names="string_input">
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| 8 |
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<dim>-1</dim>
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| 9 |
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</port>
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</output>
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</layer>
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+
<layer id="1" name="Constant_144393" type="Const" version="opset1">
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| 13 |
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<data element_type="i32" shape="" offset="0" size="4" />
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| 14 |
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<output>
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| 15 |
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<port id="0" precision="I32" />
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| 16 |
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</output>
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| 17 |
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</layer>
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| 18 |
+
<layer id="2" name="Constant_144386" type="Const" version="opset1">
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| 19 |
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<data element_type="u8" shape="511574" offset="4" size="511574" />
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| 20 |
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<output>
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| 21 |
+
<port id="0" precision="U8">
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| 22 |
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<dim>511574</dim>
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| 23 |
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</port>
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| 24 |
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</output>
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| 25 |
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</layer>
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| 26 |
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<layer id="3" name="SentencepieceTokenizer_144389" type="SentencepieceTokenizer" version="extension">
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| 27 |
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<data nbest_size="0" alpha="0" add_bos="true" add_eos="false" reverse="false" />
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| 28 |
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<input>
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| 29 |
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<port id="0" precision="U8">
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| 30 |
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<dim>511574</dim>
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| 31 |
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</port>
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| 32 |
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<port id="1" precision="STRING">
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| 33 |
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<dim>-1</dim>
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| 34 |
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</port>
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| 35 |
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</input>
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| 36 |
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<output>
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| 37 |
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<port id="2" precision="I64">
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| 38 |
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<dim>-1</dim>
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| 39 |
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<dim>2</dim>
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| 40 |
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</port>
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| 41 |
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<port id="3" precision="I32">
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| 42 |
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<dim>-1</dim>
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| 43 |
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</port>
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| 44 |
+
<port id="4" precision="I64">
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| 45 |
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<dim>2</dim>
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| 46 |
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</port>
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| 47 |
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</output>
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| 48 |
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</layer>
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| 49 |
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<layer id="4" name="Broadcast_144394" type="Broadcast" version="opset3">
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| 50 |
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<data mode="numpy" />
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| 51 |
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<input>
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| 52 |
+
<port id="0" precision="I32" />
|
| 53 |
+
<port id="1" precision="I64">
|
| 54 |
+
<dim>2</dim>
|
| 55 |
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</port>
|
| 56 |
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</input>
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| 57 |
+
<output>
|
| 58 |
+
<port id="2" precision="I32">
|
| 59 |
+
<dim>-1</dim>
|
| 60 |
+
<dim>-1</dim>
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| 61 |
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</port>
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| 62 |
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</output>
|
| 63 |
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</layer>
|
| 64 |
+
<layer id="5" name="Constant_144395" type="Const" version="opset1">
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| 65 |
+
<data element_type="i32" shape="" offset="511578" size="4" />
|
| 66 |
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<output>
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| 67 |
+
<port id="0" precision="I32" />
|
| 68 |
+
</output>
|
| 69 |
+
</layer>
|
| 70 |
+
<layer id="6" name="ShapeOf_144396" type="ShapeOf" version="opset3">
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| 71 |
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<data output_type="i64" />
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| 72 |
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<input>
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| 73 |
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<port id="0" precision="I32">
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| 74 |
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<dim>-1</dim>
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| 75 |
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</port>
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</input>
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| 77 |
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<output>
|
| 78 |
+
<port id="1" precision="I64">
|
| 79 |
+
<dim>1</dim>
|
| 80 |
+
</port>
|
| 81 |
+
</output>
|
| 82 |
+
</layer>
|
| 83 |
+
<layer id="7" name="Broadcast_144397" type="Broadcast" version="opset3">
|
| 84 |
+
<data mode="numpy" />
|
| 85 |
+
<input>
|
| 86 |
+
<port id="0" precision="I32" />
|
| 87 |
+
<port id="1" precision="I64">
|
| 88 |
+
<dim>1</dim>
|
| 89 |
+
</port>
|
| 90 |
+
</input>
|
| 91 |
+
<output>
|
| 92 |
+
<port id="2" precision="I32">
|
| 93 |
+
<dim>-1</dim>
|
| 94 |
+
</port>
|
| 95 |
+
</output>
|
| 96 |
+
</layer>
|
| 97 |
+
<layer id="8" name="ScatterNDUpdate_144401" type="ScatterNDUpdate" version="opset4">
|
| 98 |
+
<input>
|
| 99 |
+
<port id="0" precision="I32">
|
| 100 |
+
<dim>-1</dim>
|
| 101 |
+
<dim>-1</dim>
|
| 102 |
+
</port>
|
| 103 |
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<port id="1" precision="I64">
|
| 104 |
+
<dim>-1</dim>
|
| 105 |
+
<dim>2</dim>
|
| 106 |
+
</port>
|
| 107 |
+
<port id="2" precision="I32">
|
| 108 |
+
<dim>-1</dim>
|
| 109 |
+
</port>
|
| 110 |
+
</input>
|
| 111 |
+
<output>
|
| 112 |
+
<port id="3" precision="I32">
|
| 113 |
+
<dim>-1</dim>
|
| 114 |
+
<dim>-1</dim>
|
| 115 |
+
</port>
|
| 116 |
+
</output>
|
| 117 |
+
</layer>
|
| 118 |
+
<layer id="9" name="ScatterNDUpdate_144401" type="Convert" version="opset1">
|
| 119 |
+
<data destination_type="i64" />
|
| 120 |
+
<input>
|
| 121 |
+
<port id="0" precision="I32">
|
| 122 |
+
<dim>-1</dim>
|
| 123 |
+
<dim>-1</dim>
|
| 124 |
+
</port>
|
| 125 |
+
</input>
|
| 126 |
+
<output>
|
| 127 |
+
<port id="1" precision="I64" names="attention_mask">
|
| 128 |
+
<dim>-1</dim>
|
| 129 |
+
<dim>-1</dim>
|
| 130 |
+
</port>
|
| 131 |
+
</output>
|
| 132 |
+
</layer>
|
| 133 |
+
<layer id="11" name="Constant_144390" type="Const" version="opset1">
|
| 134 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
| 135 |
+
<output>
|
| 136 |
+
<port id="0" precision="I32" />
|
| 137 |
+
</output>
|
| 138 |
+
</layer>
|
| 139 |
+
<layer id="12" name="Broadcast_144391" type="Broadcast" version="opset3">
|
| 140 |
+
<data mode="numpy" />
|
| 141 |
+
<input>
|
| 142 |
+
<port id="0" precision="I32" />
|
| 143 |
+
<port id="1" precision="I64">
|
| 144 |
+
<dim>2</dim>
|
| 145 |
+
</port>
|
| 146 |
+
</input>
|
| 147 |
+
<output>
|
| 148 |
+
<port id="2" precision="I32">
|
| 149 |
+
<dim>-1</dim>
|
| 150 |
+
<dim>-1</dim>
|
| 151 |
+
</port>
|
| 152 |
+
</output>
|
| 153 |
+
</layer>
|
| 154 |
+
<layer id="13" name="ScatterNDUpdate_144392" type="ScatterNDUpdate" version="opset4">
|
| 155 |
+
<input>
|
| 156 |
+
<port id="0" precision="I32">
|
| 157 |
+
<dim>-1</dim>
|
| 158 |
+
<dim>-1</dim>
|
| 159 |
+
</port>
|
| 160 |
+
<port id="1" precision="I64">
|
| 161 |
+
<dim>-1</dim>
|
| 162 |
+
<dim>2</dim>
|
| 163 |
+
</port>
|
| 164 |
+
<port id="2" precision="I32">
|
| 165 |
+
<dim>-1</dim>
|
| 166 |
+
</port>
|
| 167 |
+
</input>
|
| 168 |
+
<output>
|
| 169 |
+
<port id="3" precision="I32">
|
| 170 |
+
<dim>-1</dim>
|
| 171 |
+
<dim>-1</dim>
|
| 172 |
+
</port>
|
| 173 |
+
</output>
|
| 174 |
+
</layer>
|
| 175 |
+
<layer id="14" name="ScatterNDUpdate_144392" type="Convert" version="opset1">
|
| 176 |
+
<data destination_type="i64" />
|
| 177 |
+
<input>
|
| 178 |
+
<port id="0" precision="I32">
|
| 179 |
+
<dim>-1</dim>
|
| 180 |
+
<dim>-1</dim>
|
| 181 |
+
</port>
|
| 182 |
+
</input>
|
| 183 |
+
<output>
|
| 184 |
+
<port id="1" precision="I64" names="input_ids">
|
| 185 |
+
<dim>-1</dim>
|
| 186 |
+
<dim>-1</dim>
|
| 187 |
+
</port>
|
| 188 |
+
</output>
|
| 189 |
+
</layer>
|
| 190 |
+
<layer id="15" name="Result_144402" type="Result" version="opset1">
|
| 191 |
+
<input>
|
| 192 |
+
<port id="0" precision="I64">
|
| 193 |
+
<dim>-1</dim>
|
| 194 |
+
<dim>-1</dim>
|
| 195 |
+
</port>
|
| 196 |
+
</input>
|
| 197 |
+
</layer>
|
| 198 |
+
<layer id="10" name="Result_144403" type="Result" version="opset1">
|
| 199 |
+
<input>
|
| 200 |
+
<port id="0" precision="I64">
|
| 201 |
+
<dim>-1</dim>
|
| 202 |
+
<dim>-1</dim>
|
| 203 |
+
</port>
|
| 204 |
+
</input>
|
| 205 |
+
</layer>
|
| 206 |
+
</layers>
|
| 207 |
+
<edges>
|
| 208 |
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<edge from-layer="0" from-port="0" to-layer="3" to-port="1" />
|
| 209 |
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<edge from-layer="1" from-port="0" to-layer="4" to-port="0" />
|
| 210 |
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<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
| 211 |
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<edge from-layer="3" from-port="4" to-layer="4" to-port="1" />
|
| 212 |
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<edge from-layer="3" from-port="3" to-layer="6" to-port="0" />
|
| 213 |
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<edge from-layer="3" from-port="2" to-layer="8" to-port="1" />
|
| 214 |
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<edge from-layer="3" from-port="3" to-layer="13" to-port="2" />
|
| 215 |
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<edge from-layer="3" from-port="2" to-layer="13" to-port="1" />
|
| 216 |
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<edge from-layer="3" from-port="4" to-layer="12" to-port="1" />
|
| 217 |
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<edge from-layer="4" from-port="2" to-layer="8" to-port="0" />
|
| 218 |
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<edge from-layer="5" from-port="0" to-layer="7" to-port="0" />
|
| 219 |
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<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
|
| 220 |
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<edge from-layer="7" from-port="2" to-layer="8" to-port="2" />
|
| 221 |
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<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
|
| 222 |
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<edge from-layer="9" from-port="1" to-layer="10" to-port="0" />
|
| 223 |
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<edge from-layer="11" from-port="0" to-layer="12" to-port="0" />
|
| 224 |
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<edge from-layer="12" from-port="2" to-layer="13" to-port="0" />
|
| 225 |
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<edge from-layer="13" from-port="3" to-layer="14" to-port="0" />
|
| 226 |
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<edge from-layer="14" from-port="1" to-layer="15" to-port="0" />
|
| 227 |
+
</edges>
|
| 228 |
+
<rt_info>
|
| 229 |
+
<eos_token_id value="2" />
|
| 230 |
+
</rt_info>
|
| 231 |
+
</net>
|