[WIP] small_llms example #265
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…d local hugging face model and finetune loaded model with hugging face dataset Added features to download models from hugging face model hub/load local hugging face model and finetune loaded model with hugging face dataset. Model loading and fine-tuning can happen both at the initialization stage and after the agent has been initialized (see README in `agentscope/examples/load_finetune_huggingface_model` for details). Major changes to the repo include creating the example script `load_finetune_huggingface_model`, adding a new model wrapper `HuggingFaceWrapper`, and creating a new agent type Finetune_DialogAgent. All changes are done in a new example directory `agentscope/examples/load_finetune_huggingface_model`.
made customized hyperparameters specification available from `model_configs` for fine-tuning at initialization, or through `fine_tune_config` in `Finetune_DialogAgent`'s `fine_tune` method after initialization
fixed issue related to `format` method
updated the dependencies needed
Updated the way to read token from .env file, so that it can work in any example directory.
… it consistent with the official repo
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name: Pull Request
about: Create a pull request
Description
this is a work-in-progress branch for a new example `small-llms', which implements the tool-learning pipeline proposed by paper Small LLMs Are Weak Tool Learners: A Multi-LLM Agent with agentscope framework.
Checklist
Please check the following items before code is ready to be reviewed.