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--- |
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thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png |
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license: llama2 |
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datasets: |
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- mc4 |
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- cc100 |
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- oscar |
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- wikipedia |
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- EleutherAI/pile |
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language: |
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- ja |
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- en |
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inference: false |
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--- |
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# `rinna/youri-7b-gptq` |
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# Overview |
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`rinna/youri-7b-gptq` is the quantized model for [`rinna/youri-7b`](https://huggingface.co/rinna/youri-7b) using AutoGPTQ. The quantized version is 4x smaller than the original model and thus requires less memory and provides faster inference. |
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* **Library** |
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Refer to the [original model](https://huggingface.co/rinna/youri-7b) for library details. |
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* **Model architecture** |
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Refer to the [original model](https://huggingface.co/rinna/youri-7b) for architecture details. |
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* **Continual pre-training** |
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Refer to the [original model](https://huggingface.co/rinna/youri-7b) for pre-training details. |
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* **Contributors** |
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- [Toshiaki Wakatsuki](https://huggingface.co/t-w) |
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- [Tianyu Zhao](https://huggingface.co/tianyuz) |
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- [Kei Sawada](https://huggingface.co/keisawada) |
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--- |
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# Benchmarking |
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Please refer to [rinna's LM benchmark page](https://rinnakk.github.io/research/benchmarks/lm/index.html). |
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--- |
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# How to use the model |
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~~~~python |
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import torch |
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from transformers import AutoTokenizer |
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from auto_gptq import AutoGPTQForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("rinna/youri-7b-gptq") |
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model = AutoGPTQForCausalLM.from_quantized("rinna/youri-7b-gptq", use_safetensors=True) |
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text = "西田幾多郎は、" |
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token_ids = tokenizer.encode(text, add_special_tokens=False, return_tensors="pt") |
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with torch.no_grad(): |
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output_ids = model.generate( |
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input_ids=token_ids.to(model.device), |
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max_new_tokens=200, |
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min_new_tokens=200, |
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do_sample=True, |
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temperature=1.0, |
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top_p=0.95, |
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pad_token_id=tokenizer.pad_token_id, |
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bos_token_id=tokenizer.bos_token_id, |
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eos_token_id=tokenizer.eos_token_id |
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) |
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output = tokenizer.decode(output_ids.tolist()[0]) |
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print(output) |
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~~~~ |
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--- |
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# Tokenization |
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The model uses the original llama-2 tokenizer. |
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--- |
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# How to cite |
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~~~ |
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@misc{rinna-youri-7b-gptq, |
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title = {rinna/youri-7b-gptq}, |
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author={Wakatsuki, Toshiaki and Zhao, Tianyu and Sawada, Kei} |
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url = {https://huggingface.co/rinna/youri-7b-gptq}, |
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} |
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@inproceedings{sawada2024release, |
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title = {Release of Pre-Trained Models for the {J}apanese Language}, |
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author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh}, |
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booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}, |
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month = {5}, |
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year = {2024}, |
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url = {https://arxiv.org/abs/2404.01657}, |
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} |
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~~~ |
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--- |
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# License |
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[The llama2 license](https://ai.meta.com/llama/license/) |
