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Browse files- fastchat-t5-3b-ct2/.gitattributes +34 -0
- fastchat-t5-3b-ct2/README.md +59 -0
- fastchat-t5-3b-ct2/config.json +9 -0
- fastchat-t5-3b-ct2/generation_config.json +7 -0
- fastchat-t5-3b-ct2/model.bin +3 -0
- fastchat-t5-3b-ct2/model.binZone.Identifier +4 -0
- fastchat-t5-3b-ct2/shared_vocabulary.txt +0 -0
- fastchat-t5-3b-ct2/special_tokens_map.json +107 -0
- fastchat-t5-3b-ct2/spiece.model +3 -0
- fastchat-t5-3b-ct2/spiece.modelZone.Identifier +4 -0
- fastchat-t5-3b-ct2/tokenizer.json +0 -0
- fastchat-t5-3b-ct2/tokenizer_config.json +112 -0
fastchat-t5-3b-ct2/.gitattributes
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fastchat-t5-3b-ct2/README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- ctranslate2
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- fastchat-t5-3b
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- quantization
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- int8
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---
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# Model Card for FastChat-T5 3B Q8
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The model is quantized version of the [lmsys/fastchat-t5-3b-v1.0](https://huggingface.co/lmsys/fastchat-t5-3b-v1.0) with int8 quantization.
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## Model Details
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### Model Description
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The model being quantized using [CTranslate2](https://opennmt.net/CTranslate2/) with the following command:
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```
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ct2-transformers-converter --model lmsys/fastchat-t5-3b --output_dir lmsys/fastchat-t5-3b-ct2 --copy_files generation_config.json added_tokens.json tokenizer_config.json special_tokens_map.json spiece.model --quantization int8 --force --low_cpu_mem_usage
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```
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If you want to perform the quantization yourself, you need to install the following dependencies:
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```
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pip install -qU ctranslate2 transformers[torch] sentencepiece accelerate
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```
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- **Shared by:** Lim Chee Kin
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- **License:** Apache 2.0
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## How to Get Started with the Model
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Use the code below to get started with the model.
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```python
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import ctranslate2
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import transformers
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translator = ctranslate2.Translator("limcheekin/fastchat-t5-3b-ct2")
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tokenizer = transformers.AutoTokenizer.from_pretrained("limcheekin/fastchat-t5-3b-ct2")
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input_text = "translate English to German: The house is wonderful."
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input_tokens = tokenizer.convert_ids_to_tokens(tokenizer.encode(input_text))
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results = translator.translate_batch([input_tokens])
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output_tokens = results[0].hypotheses[0]
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output_text = tokenizer.decode(tokenizer.convert_tokens_to_ids(output_tokens))
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print(output_text)
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```
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The code is taken from https://opennmt.net/CTranslate2/guides/transformers.html#t5.
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The key method of the code above is `translate_batch`, you can find out [its supported parameters here](https://opennmt.net/CTranslate2/python/ctranslate2.Translator.html#ctranslate2.Translator.translate_batch).
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fastchat-t5-3b-ct2/config.json
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{
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"add_source_bos": false,
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"add_source_eos": false,
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"bos_token": "<pad>",
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"decoder_start_token": "<pad>",
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"eos_token": "</s>",
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"layer_norm_epsilon": null,
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"unk_token": "<unk>"
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}
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fastchat-t5-3b-ct2/generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"pad_token_id": 0,
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"transformers_version": "4.28.1"
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}
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fastchat-t5-3b-ct2/model.bin
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fastchat-t5-3b-ct2/shared_vocabulary.txt
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See raw diff
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fastchat-t5-3b-ct2/special_tokens_map.json
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fastchat-t5-3b-ct2/spiece.model
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version https://git-lfs.github.com/spec/v1
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fastchat-t5-3b-ct2/spiece.modelZone.Identifier
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[ZoneTransfer]
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ZoneId=3
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ReferrerUrl=https://huggingface.co/
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fastchat-t5-3b-ct2/tokenizer.json
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fastchat-t5-3b-ct2/tokenizer_config.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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"<extra_id_2>",
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"<extra_id_3>",
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"<extra_id_4>",
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"<extra_id_5>",
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"<extra_id_6>",
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"<extra_id_7>",
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"<extra_id_8>",
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"<extra_id_9>",
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"<extra_id_10>",
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"<extra_id_11>",
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"<extra_id_12>",
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"<extra_id_13>",
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"<extra_id_14>",
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"<extra_id_15>",
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"<extra_id_16>",
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"<extra_id_17>",
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"<extra_id_18>",
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"<extra_id_19>",
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"<extra_id_20>",
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"<extra_id_21>",
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"<extra_id_22>",
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"<extra_id_23>",
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"<extra_id_24>",
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"<extra_id_25>",
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"<extra_id_26>",
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"<extra_id_27>",
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"<extra_id_28>",
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"<extra_id_29>",
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"<extra_id_30>",
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"<extra_id_31>",
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"<extra_id_32>",
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"<extra_id_33>",
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"<extra_id_34>",
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"<extra_id_35>",
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"<extra_id_36>",
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"<extra_id_37>",
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"<extra_id_38>",
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"<extra_id_39>",
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"<extra_id_40>",
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"<extra_id_41>",
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"<extra_id_42>",
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"<extra_id_43>",
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"<extra_id_44>",
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"<extra_id_45>",
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"<extra_id_46>",
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"<extra_id_47>",
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"<extra_id_48>",
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"<extra_id_49>",
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"<extra_id_50>",
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"<extra_id_51>",
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"<extra_id_52>",
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"<extra_id_53>",
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"<extra_id_54>",
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"<extra_id_55>",
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"<extra_id_56>",
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"<extra_id_57>",
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"<extra_id_58>",
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"<extra_id_59>",
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"<extra_id_60>",
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"<extra_id_61>",
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"<extra_id_62>",
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"<extra_id_63>",
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"<extra_id_64>",
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"<extra_id_65>",
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"<extra_id_66>",
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"<extra_id_67>",
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"<extra_id_68>",
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"<extra_id_69>",
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"<extra_id_70>",
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"<extra_id_71>",
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"<extra_id_72>",
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"<extra_id_73>",
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"<extra_id_74>",
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"<extra_id_75>",
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"<extra_id_76>",
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"<extra_id_77>",
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"<extra_id_78>",
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"<extra_id_79>",
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"<extra_id_80>",
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"<extra_id_81>",
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"<extra_id_82>",
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"<extra_id_83>",
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"<extra_id_84>",
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"<extra_id_85>",
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"<extra_id_86>",
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"<extra_id_87>",
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"<extra_id_88>",
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"<extra_id_89>",
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"<extra_id_90>",
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"<extra_id_91>",
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"<extra_id_92>",
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"<extra_id_93>",
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"<extra_id_94>",
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"<extra_id_95>",
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"<extra_id_96>",
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"<extra_id_97>",
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"<extra_id_98>",
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"<extra_id_99>"
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],
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 100,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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}
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