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Browse files- flan-alpaca-gpt4-xl-ct2/.gitattributes +0 -34
- flan-alpaca-gpt4-xl-ct2/README.md +0 -59
- flan-alpaca-gpt4-xl-ct2/config.json +0 -8
- flan-alpaca-gpt4-xl-ct2/generation_config.json +0 -7
- flan-alpaca-gpt4-xl-ct2/model.bin +0 -3
- flan-alpaca-gpt4-xl-ct2/model.binZone.Identifier +0 -4
- flan-alpaca-gpt4-xl-ct2/shared_vocabulary.txt +0 -0
- flan-alpaca-gpt4-xl-ct2/special_tokens_map.json +0 -107
- flan-alpaca-gpt4-xl-ct2/spiece.model +0 -3
- flan-alpaca-gpt4-xl-ct2/spiece.modelZone.Identifier +0 -4
- flan-alpaca-gpt4-xl-ct2/tokenizer.json +0 -0
- flan-alpaca-gpt4-xl-ct2/tokenizer_config.json +0 -112
flan-alpaca-gpt4-xl-ct2/.gitattributes
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flan-alpaca-gpt4-xl-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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- flan-alpaca-gpt4-xl
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- quantization
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- int8
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---
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# Model Card for Flan-Alpaca-GPT4-XL Q8
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The model is quantized version of the [declare-lab/flan-alpaca-gpt4-xl](https://huggingface.co/declare-lab/flan-alpaca-gpt4-xl) 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 declare-lab/flan-alpaca-gpt4-xl --output_dir declare-lab/flan-alpaca-gpt4-xl-ct2 --copy_files generation_config.json tokenizer.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/flan-alpaca-gpt4-xl-ct2")
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tokenizer = transformers.AutoTokenizer.from_pretrained("limcheekin/flan-alpaca-gpt4-xl-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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flan-alpaca-gpt4-xl-ct2/config.json
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}
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flan-alpaca-gpt4-xl-ct2/spiece.model
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flan-alpaca-gpt4-xl-ct2/tokenizer.json
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flan-alpaca-gpt4-xl-ct2/tokenizer_config.json
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"eos_token": "</s>",
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"unk_token": "<unk>"
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}
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