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LLaMA-Factory-Mirror
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Merge pull request #3651 from BUAADreamer/main 

add some mllm features and try to incorporate Chinese-LLaVA-Med project
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hoshi-hiyouga 2024-05-11 23:59:08 +08:00 committed by GitHub
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3 changed files with 15 additions and 3 deletions
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3
README.md
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@ -5,7 +5,7 @@
[![GitHub last commit](https://img.shields.io/github/last-commit/hiyouga/LLaMA-Factory)](https://github.com/hiyouga/LLaMA-Factory/commits/main)
[![PyPI](https://img.shields.io/pypi/v/llmtuner)](https://pypi.org/project/llmtuner/)
[![Downloads](https://static.pepy.tech/badge/llmtuner)](https://pypi.org/project/llmtuner/)
[![Citation](https://img.shields.io/badge/citation-43-green)](#projects-using-llama-factory)
[![Citation](https://img.shields.io/badge/citation-44-green)](#projects-using-llama-factory)
[![GitHub pull request](https://img.shields.io/badge/PRs-welcome-blue)](https://github.com/hiyouga/LLaMA-Factory/pulls)
[![Discord](https://dcbadge.vercel.app/api/server/rKfvV9r9FK?compact=true&style=flat)](https://discord.gg/rKfvV9r9FK)
[![Twitter](https://img.shields.io/twitter/follow/llamafactory_ai)](https://twitter.com/llamafactory_ai)
@ -473,6 +473,7 @@ If you have a project that should be incorporated, please contact via email or c
1. **[CareGPT](https://github.com/WangRongsheng/CareGPT)**: A series of large language models for Chinese medical domain, based on LLaMA2-7B and Baichuan-13B.
1. **[MachineMindset](https://github.com/PKU-YuanGroup/Machine-Mindset/)**: A series of MBTI Personality large language models, capable of giving any LLM 16 different personality types based on different datasets and training methods.
1. **[Luminia-13B-v3](https://huggingface.co/Nekochu/Luminia-13B-v3)**: A large language model specialized in generate metadata for stable diffusion. [[🤗Demo]](https://huggingface.co/spaces/Nekochu/Luminia-13B_SD_Prompt)
1. **[Chinese-LLaVA-Med](https://github.com/BUAADreamer/Chinese-LLaVA-Med)**: A multimodal large language model specialized in Chinese medical domain, based on LLaVA-1.5-7B.
</details>

4
README_zh.md
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@ -5,7 +5,7 @@
[![GitHub last commit](https://img.shields.io/github/last-commit/hiyouga/LLaMA-Factory)](https://github.com/hiyouga/LLaMA-Factory/commits/main)
[![PyPI](https://img.shields.io/pypi/v/llmtuner)](https://pypi.org/project/llmtuner/)
[![Downloads](https://static.pepy.tech/badge/llmtuner)](https://pypi.org/project/llmtuner/)
[![Citation](https://img.shields.io/badge/citation-43-green)](#使用了-llama-factory-的项目)
[![Citation](https://img.shields.io/badge/citation-44-green)](#使用了-llama-factory-的项目)
[![GitHub pull request](https://img.shields.io/badge/PRs-welcome-blue)](https://github.com/hiyouga/LLaMA-Factory/pulls)
[![Discord](https://dcbadge.vercel.app/api/server/rKfvV9r9FK?compact=true&style=flat)](https://discord.gg/rKfvV9r9FK)
[![Twitter](https://img.shields.io/twitter/follow/llamafactory_ai)](https://twitter.com/llamafactory_ai)
@ -473,6 +473,8 @@ export USE_MODELSCOPE_HUB=1 # Windows 使用 `set USE_MODELSCOPE_HUB=1`
1. **[CareGPT](https://github.com/WangRongsheng/CareGPT)**: 医疗大模型项目 CareGPT，基于 LLaMA2-7B 和 Baichuan-13B 在中文医疗数据上微调而得。
1. **[MachineMindset](https://github.com/PKU-YuanGroup/Machine-Mindset/)**：MBTI性格大模型项目，根据数据集与训练方式让任意 LLM 拥有 16 个不同的性格类型。
1. **[Luminia-13B-v3](https://huggingface.co/Nekochu/Luminia-13B-v3)**：一个用于生成 Stable Diffusion 提示词的大型语言模型。[[🤗Demo]](https://huggingface.co/spaces/Nekochu/Luminia-13B_SD_Prompt)
1. **[Chinese-LLaVA-Med](https://github.com/BUAADreamer/Chinese-LLaVA-Med)**：中文多模态医学大模型，基于 LLaVA-1.5-7B 在中文多模态医疗数据上微调而得。
</details>

11
src/llmtuner/train/tuner.py
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@ -52,7 +52,9 @@ def export_model(args: Optional[Dict[str, Any]] = None) -> None:
if model_args.adapter_name_or_path is not None and model_args.export_quantization_bit is not None:
raise ValueError("Please merge adapters before quantizing the model.")
tokenizer = load_tokenizer(model_args)["tokenizer"]
tokenizer_module = load_tokenizer(model_args)
tokenizer = tokenizer_module["tokenizer"]
processor = tokenizer_module["processor"]
get_template_and_fix_tokenizer(tokenizer, data_args.template)
model = load_model(tokenizer, model_args, finetuning_args) # must after fixing tokenizer to resize vocab
@ -86,5 +88,12 @@ def export_model(args: Optional[Dict[str, Any]] = None) -> None:
tokenizer.save_pretrained(model_args.export_dir)
if model_args.export_hub_model_id is not None:
tokenizer.push_to_hub(model_args.export_hub_model_id, token=model_args.hf_hub_token)
if model_args.visual_inputs and processor is not None:
getattr(processor, "image_processor").save_pretrained(model_args.export_dir)
if model_args.export_hub_model_id is not None:
getattr(processor, "image_processor").push_to_hub(
model_args.export_hub_model_id, token=model_args.hf_hub_token
)
except Exception:
logger.warning("Cannot save tokenizer, please copy the files manually.")