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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: meta-llama/Meta-Llama-3.1-70B-Instruct
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+ tags:
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+ - function
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+ - function-calling
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+ - tool-using
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+ ---
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+
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+ ## Empower Functions Model v1.1
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6424a49f12ba34f9894ab9b7/wXkYX_NXEFtpmBsQd6nIV.png)
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+
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+ [https://github.com/empower-ai/empower-functions](https://github.com/empower-ai/empower-functions)
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+
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+ Empower Functions is a family of LLMs(large language models) that offer GPT-4 level capabilities for real-world "tool using" use cases, with full compatibility support to serve as a drop-in replacement.
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+
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+
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+ ## Key Features
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+ * Automatic tool using, able to decide when to use tools and when to converse, optimized for long conversations
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+ * Parallel call, supports calling one function multiple times, multiple functions, or a combination of both
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+ * Sequential calling, supports calling multiple functions sequentially to fulfill the user request
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+ * Streaming
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+
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+ ## Family of Models
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+
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+ | Model | Specs | Links | Notes |
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+ | ------------------------------ | ------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
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+ | llama3-empower-functions-small | 128k context, based on [Llama3.1 8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) | [model](https://huggingface.co/empower-dev/llama3-empower-functions-small-v1.1), [gguf](https://huggingface.co/empower-dev/llama3-empower-functions-small-gguf-v1.1) | Most cost-effective, locally runnable | | Balance in accuracy and cost |
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+ | llama3-empower-functions-large | 128k context, based on [Llama3.1 70B](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B) | [model](https://huggingface.co/empower-dev/llama3-empower-functions-large-v1.1) | Best accuracy |
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+
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+ ### Hardware Requirement
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+
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+ We have tested and the family of models in following setup:
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+
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+ - empower-functions-small: fp16 on 1xA100 40G, GGUF and 4bit GGUF on Macbook M2 Pro with 32G RAM, in minimal the 4bit GGUF version requires 7.56G RAM.
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+ - empower-functions-medium: fp16 on 2xA100 80G
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+ - empower-functions-large: fp16 on 4xA100 80G
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+
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+ ## Usage
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+
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+ There are three ways to use the empower-functions model. You can either directly [prompt the raw model](https://github.com/empower-ai/empower-functions?tab=readme-ov-file#prompt-raw-model), run it [locally](https://github.com/empower-ai/empower-functions?tab=readme-ov-file#running-locally) through llama-cpp-python, or use our [hosted API](https://github.com/empower-ai/empower-functions?tab=readme-ov-file#using-empower-api)
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+
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+ ## Evaluation
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+
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+
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+ v1.1 is the newer version trained based on meta llama3.1 with the newly updated dataset, it has achieved state-of-the-art performance on the Berkeley Function Calling leaderboard:
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6570b927f56f953867847255/HrzbI0vmyvYhabS-I5hGj.png)
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+ (captured on Sep 10, 2024)
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+
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+ ## Demo App
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+ Check our healthcare appointment booking [demo](https://app.empower.dev/chat-demo)
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+ Want to customize the model? Please contact us at [founders@empower.dev](mailto:founders@empower.dev)