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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: mit
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+ datasets:
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+ - flwrlabs/code-alpaca-20k
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ base_model:
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+ - HuggingFaceTB/SmolLM2-1.7B-Instruct
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+ pipeline_tag: text-generation
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+ library_name: peft
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+ tags:
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+ - text-generation-inference
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+ - code
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+ ---
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+
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+ ## Evaluation Results (Pass@1)
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+
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+ - **HumanEval**: 30.49 %
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+ - **MBPP**: 34.00 %
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+ - **MultiPL-E (C++)**: 23.60 %
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+ - **MultiPL-E (JS)**: 18.63 %
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+ - **Average**: 26.68 %
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+
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+ ## Model Details
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+
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+ This PEFT adapter has been trained by using [Flower](https://flower.ai/), a friendly federated AI framework.
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+ The adapter and benchmark results have been submitted to the [FlowerTune LLM Code Leaderboard](https://flower.ai/benchmarks/llm-leaderboard/code/).
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+ Please check the following GitHub project for details on how to reproduce training and evaluation steps:
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+ [FlowerTune-LLM-Labs](https://github.com/ethicalabs-ai/FlowerTune-LLM-Labs/blob/main/workspace/models/README.md)