BELLE-LLaMA-EXT-13B
Maintainer: BelleGroup
49
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The BELLE-LLaMA-EXT-13B is a large language model developed by the BelleGroup that builds upon the original LLaMA model released by Meta AI. The model was trained using a two-phase approach:
- Extending the vocabulary with an additional 50,000 tokens specific to Chinese and further pretraining the word embeddings on a Chinese corpus.
- Full-parameter finetuning the model with 4 million high-quality instruction-following examples.
This approach allows the model to have strong Chinese language understanding and instruction-following capabilities, while retaining the robustness and broad knowledge of the original LLaMA model. Similar models like the BELLE-7B-2M and llama-7b-hf-transformers-4.29 also aim to extend the capabilities of the LLaMA architecture.
Model inputs and outputs
Inputs
- The model takes in natural language text as input, which can include instructions, questions, or general prompts.
Outputs
- The model generates natural language text in response to the input, exhibiting strong performance on a variety of tasks like question answering, language understanding, and instruction following.
Capabilities
The BELLE-LLaMA-EXT-13B model demonstrates impressive capabilities in areas like Chinese language understanding, task-oriented dialogue, and following complex instructions. For example, the model can engage in nuanced conversations on Chinese cultural topics, answer questions about current events with up-to-date knowledge, and break down and complete multi-step tasks with high accuracy.
What can I use it for?
The BELLE-LLaMA-EXT-13B model could be useful for a wide range of applications, particularly those involving Chinese language processing or instruction-following. Some potential use cases include:
- Building chatbots or virtual assistants with strong Chinese language capabilities
- Powering question-answering systems for Chinese-speaking users
- Developing intelligent tutoring systems that can guide users through complex workflows
- Enhancing machine translation between Chinese and other languages
Things to try
One interesting aspect to explore with the BELLE-LLaMA-EXT-13B model is its ability to handle open-ended instructions and tasks. Try providing the model with detailed, multi-step prompts and see how well it can understand the requirements and generate a comprehensive, coherent response. You could also experiment with incorporating the model into a larger system, such as a dialogue agent or task planner, to leverage its unique strengths.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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