openvino-ci
commited on
Commit
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Parent(s):
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Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +55 -0
- config.json +32 -0
- generation_config.json +7 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +163 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +681 -0
- special_tokens_map.json +30 -0
- tokenizer.json +3 -0
- tokenizer_config.json +44 -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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README.md
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---
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license: bigscience-bloom-rail-1.0
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license_link: https://choosealicense.com/licenses/bigscience-bloom-rail-1.0/
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---
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# bloomz-3b-fp16-ov
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* Model creator: [Bigscience](https://huggingface.co/bigscience)
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* Original model: [bloomz-3b](https://huggingface.co/bigscience/bloomz-3b)
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## Description
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## Compatibility
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The provided OpenVINO™ IR model is compatible with:
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* OpenVINO version 2024.4.0 and higher
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* Optimum Intel 1.20.0 and higher
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## Running Model Inference
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1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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```
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pip install optimum[openvino]
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```
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2. Run model inference:
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```
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from transformers import AutoTokenizer
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from optimum.intel.openvino import OVModelForCausalLM
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model_id = "OpenVINO/bloomz-3b-fp16-ov"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = OVModelForCausalLM.from_pretrained(model_id)
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inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
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outputs = model.generate(**inputs, max_length=200)
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text = tokenizer.batch_decode(outputs)[0]
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print(text)
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```
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For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
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## Limitations
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Check the original model card for [original model card](https://huggingface.co/bigscience/bloomz-3b) for limitations.
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## Legal information
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The original model is distributed under [bigscience-bloom-rail-1.0](https://choosealicense.com/licenses/bigscience-bloom-rail-1.0/) license. More details can be found in [original model card](https://huggingface.co/bigscience/bloomz-3b).
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## Disclaimer
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Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
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config.json
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{
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"_name_or_path": "bigscience/bloomz-3b",
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomForCausalLM"
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],
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bias_dropout_fusion": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"masked_softmax_fusion": true,
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"model_type": "bloom",
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"n_head": 32,
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"n_inner": null,
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"n_layer": 30,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 4,
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"seq_length": 2048,
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"transformers_version": "4.45.2",
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"unk_token_id": 0,
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"use_cache": true,
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"vocab_size": 250880
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 3,
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"transformers_version": "4.45.2"
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}
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openvino_detokenizer.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9db271ab1e515856fe1fdb70a2999d1308ade18550a1aacbe5c2630c36027f8
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size 3189816
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openvino_detokenizer.xml
ADDED
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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_53026" 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_53026">
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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="Convert_53037" 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="2" name="Constant_53001" type="Const" version="opset1">
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<data element_type="u8" shape="3189816" offset="0" size="3189816" />
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<output>
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<port id="0" precision="U8">
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<dim>3189816</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="StringTensorUnpack_53002" type="StringTensorUnpack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="U8">
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<dim>3189816</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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</port>
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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="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="VocabDecoder_53027" type="VocabDecoder" version="extension">
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<data skip_tokens="0, 1, 2, 3" />
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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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<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="I32">
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<dim>-1</dim>
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</port>
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<port id="3" 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="4" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="5" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="6" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="7" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="8" 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="5" name="FuzeRagged_53028" type="FuzeRagged" version="extension">
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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="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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</input>
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<output>
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<port id="4" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="5" precision="I32">
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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="6" name="StringTensorPack_53029" 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="7" name="Result_53030" 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="1" to-port="0" />
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<edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
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<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
|
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+
<edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
|
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+
<edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
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+
<edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
|
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+
<edge from-layer="4" from-port="7" to-layer="5" to-port="3" />
|
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+
<edge from-layer="4" from-port="8" to-layer="6" to-port="2" />
|
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+
<edge from-layer="5" from-port="4" to-layer="6" to-port="0" />
|
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+
<edge from-layer="5" from-port="5" to-layer="6" to-port="1" />
|
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+
<edge from-layer="6" from-port="3" to-layer="7" to-port="0" />
|
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</edges>
|
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+
<rt_info>
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<bos_token_id value="1" />
|
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+
<eos_token_id value="2" />
|
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+
<original_tokenizer_class value="<class 'transformers.models.bloom.tokenization_bloom_fast.BloomTokenizerFast'>" />
|
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+
<pad_token_id value="3" />
|
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</rt_info>
|
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</net>
|
openvino_model.bin
ADDED
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|
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version https://git-lfs.github.com/spec/v1
|
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oid sha256:3cca4369d01622df8355a751a726930b87117c75e8026f1a09af22d33c9c262d
|
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+
size 6005115140
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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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|
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+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:1339724674d23d50427026fff2db9e17f06b100fbdaf67fdcb6b268e87e2e35c
|
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+
size 7380278
|
openvino_tokenizer.xml
ADDED
@@ -0,0 +1,681 @@
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|
1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="tokenizer" version="11">
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3 |
+
<layers>
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4 |
+
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5 |
+
<data shape="?" element_type="string" />
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6 |
+
<output>
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7 |
+
<port id="0" precision="STRING" names="Parameter_52920">
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8 |
+
<dim>-1</dim>
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9 |
+
</port>
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10 |
+
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11 |
+
</layer>
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12 |
+
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13 |
+
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14 |
+
<output>
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15 |
+
<port id="0" precision="I64" />
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16 |
+
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17 |
+
</layer>
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18 |
+
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19 |
+
<data mode="begins_ends" />
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20 |
+
<input>
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21 |
+
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22 |
+
<dim>-1</dim>
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23 |
+
</port>
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24 |
+
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25 |
+
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26 |
+
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|
27 |
+
<dim>-1</dim>
|
28 |
+
</port>
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29 |
+
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|
30 |
+
<dim>-1</dim>
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31 |
+
</port>
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32 |
+
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33 |
+
<dim>-1</dim>
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34 |
+
</port>
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35 |
+
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36 |
+
</layer>
|
37 |
+
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38 |
+
<data output_type="i64" />
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39 |
+
<input>
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40 |
+
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41 |
+
<dim>-1</dim>
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42 |
+
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43 |
+
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44 |
+
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45 |
+
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|
46 |
+
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47 |
+
</port>
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48 |
+
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49 |
+
</layer>
|
50 |
+
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|
51 |
+
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52 |
+
<output>
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53 |
+
<port id="0" precision="I64" />
|
54 |
+
</output>
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55 |
+
</layer>
|
56 |
+
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57 |
+
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58 |
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<output>
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59 |
+
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60 |
+
</output>
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61 |
+
</layer>
|
62 |
+
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63 |
+
<data batch_dims="0" />
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64 |
+
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65 |
+
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66 |
+
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67 |
+
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68 |
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69 |
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70 |
+
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71 |
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72 |
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73 |
+
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74 |
+
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75 |
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76 |
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77 |
+
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78 |
+
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79 |
+
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80 |
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81 |
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82 |
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83 |
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84 |
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85 |
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86 |
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87 |
+
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88 |
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89 |
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|
90 |
+
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91 |
+
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92 |
+
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93 |
+
</layer>
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94 |
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95 |
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96 |
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97 |
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98 |
+
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99 |
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100 |
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101 |
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102 |
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103 |
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104 |
+
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105 |
+
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|
106 |
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107 |
+
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108 |
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109 |
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110 |
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111 |
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112 |
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113 |
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114 |
+
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115 |
+
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|
116 |
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117 |
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118 |
+
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119 |
+
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120 |
+
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121 |
+
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|
122 |
+
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123 |
+
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124 |
+
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125 |
+
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126 |
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127 |
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|
128 |
+
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129 |
+
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|
130 |
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|
131 |
+
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|
132 |
+
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133 |
+
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134 |
+
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|
135 |
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136 |
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137 |
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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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145 |
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|
146 |
+
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|
147 |
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148 |
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149 |
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150 |
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151 |
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152 |
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153 |
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154 |
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155 |
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156 |
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157 |
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158 |
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159 |
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160 |
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|
161 |
+
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162 |
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163 |
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164 |
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165 |
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|
166 |
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167 |
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168 |
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|
169 |
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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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177 |
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178 |
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179 |
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180 |
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181 |
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|
182 |
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|
183 |
+
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|
184 |
+
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|
185 |
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<layer id="16" name="Constant_52998" type="Const" version="opset1">
|
186 |
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187 |
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188 |
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189 |
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|
190 |
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</port>
|
191 |
+
</output>
|
192 |
+
</layer>
|
193 |
+
<layer id="17" name="RegexSplit_52999" type="RegexSplit" version="extension">
|
194 |
+
<data behaviour="isolate" invert="false" max_splits="-1" />
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195 |
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<input>
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196 |
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<port id="0" precision="I32">
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197 |
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198 |
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199 |
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200 |
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201 |
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202 |
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|
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|
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|
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|
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<edge from-layer="14" from-port="0" to-layer="15" to-port="5" />
|
625 |
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<edge from-layer="15" from-port="6" to-layer="17" to-port="0" />
|
626 |
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<edge from-layer="15" from-port="7" to-layer="17" to-port="1" />
|
627 |
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<edge from-layer="15" from-port="8" to-layer="17" to-port="2" />
|
628 |
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<edge from-layer="15" from-port="9" to-layer="17" to-port="3" />
|
629 |
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<edge from-layer="15" from-port="10" to-layer="17" to-port="4" />
|
630 |
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<edge from-layer="15" from-port="11" to-layer="17" to-port="5" />
|
631 |
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|
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|
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|
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|
641 |
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|
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|
653 |
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<edge from-layer="26" from-port="0" to-layer="27" to-port="17" />
|
654 |
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<edge from-layer="27" from-port="20" to-layer="36" to-port="2" />
|
655 |
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<edge from-layer="27" from-port="18" to-layer="28" to-port="1" />
|
656 |
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<edge from-layer="27" from-port="19" to-layer="36" to-port="1" />
|
657 |
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<edge from-layer="27" from-port="19" to-layer="32" to-port="0" />
|
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<edge from-layer="27" from-port="19" to-layer="31" to-port="0" />
|
659 |
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<edge from-layer="27" from-port="19" to-layer="28" to-port="0" />
|
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<edge from-layer="28" from-port="2" to-layer="30" to-port="0" />
|
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<edge from-layer="29" from-port="0" to-layer="30" to-port="1" />
|
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|
663 |
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<edge from-layer="31" from-port="2" to-layer="32" to-port="1" />
|
664 |
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|
665 |
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|
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|
667 |
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<edge from-layer="34" from-port="2" to-layer="36" to-port="3" />
|
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<edge from-layer="35" from-port="0" to-layer="36" to-port="4" />
|
669 |
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|
670 |
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<edge from-layer="36" from-port="5" to-layer="40" to-port="0" />
|
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|
672 |
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<edge from-layer="38" from-port="1" to-layer="39" to-port="0" />
|
673 |
+
<edge from-layer="40" from-port="1" to-layer="41" to-port="0" />
|
674 |
+
</edges>
|
675 |
+
<rt_info>
|
676 |
+
<bos_token_id value="1" />
|
677 |
+
<eos_token_id value="2" />
|
678 |
+
<original_tokenizer_class value="<class 'transformers.models.bloom.tokenization_bloom_fast.BloomTokenizerFast'>" />
|
679 |
+
<pad_token_id value="3" />
|
680 |
+
</rt_info>
|
681 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
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:d963066d6adae5034a1dc114c3ac444512de09928cf14ed4562ba94d9a440e66
|
3 |
+
size 21763085
|
tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<unk>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "<s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "</s>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": "<pad>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
}
|
36 |
+
},
|
37 |
+
"bos_token": "<s>",
|
38 |
+
"clean_up_tokenization_spaces": false,
|
39 |
+
"eos_token": "</s>",
|
40 |
+
"model_max_length": 1000000000000000019884624838656,
|
41 |
+
"pad_token": "<pad>",
|
42 |
+
"tokenizer_class": "BloomTokenizer",
|
43 |
+
"unk_token": "<unk>"
|
44 |
+
}
|