RedPajama-INCITE-7B-Chat Q8
The model is quantized version of the togethercomputer/RedPajama-INCITE-7B-Chat with int8 quantization.
Model Details
Model Description
The model being quantized using CTranslate2 with the following command:
ct2-transformers-converter --model togethercomputer/redpajama-chat-7b --output_dir togethercomputer/redpajama-chat-7b-ct2 --copy_files tokenizer.json tokenizer_config.json special_tokens_map.json generation_config.json --quantization int8 --force --low_cpu_mem_usage
If you want to perform the quantization yourself, you need to install the following dependencies:
pip install -qU ctranslate2 transformers[torch] accelerate
- Shared by: Lim Chee Kin
- License: Apache 2.0
How to Get Started with the Model
Use the code below to get started with the model.
import ctranslate2
import transformers
generator = ctranslate2.Generator("limcheekin/redpajama-chat-7b-ct2")
tokenizer = transformers.AutoTokenizer.from_pretrained("limcheekin/redpajama-chat-7b-ct2")
prompt = "<human>: Who is Alan Turing?\n<bot>:"
tokens = tokenizer.convert_ids_to_tokens(tokenizer.encode(prompt))
results = generator.generate_batch([tokens], max_length=256, sampling_topk=10)
text = tokenizer.decode(results[0].sequences_ids[0])
The code is taken from https://opennmt.net/CTranslate2/guides/transformers.html#mpt.
The key method of the code above is generate_batch
, you can find out its supported parameters here.
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