| --- |
| license: mit |
| datasets: |
| - flwrlabs/code-alpaca-20k |
| language: |
| - en |
| base_model: |
| - Qwen/Qwen2.5-7B-Instruct |
| pipeline_tag: text-generation |
| library_name: peft |
| tags: |
| - text-generation-inference |
| - code |
| --- |
| |
| ## Model Details |
|
|
| This PEFT adapter has been trained by using [Flower](https://flower.ai/), a friendly federated AI framework. |
|
|
| The adapter and benchmark results have been submitted to the [FlowerTune LLM Code Leaderboard](https://flower.ai/benchmarks/llm-leaderboard/code/). |
|
|
| Please check the following GitHub project for details on how to reproduce training and evaluation steps: |
|
|
| [FlowerTune-LLM-Labs](https://github.com/ethicalabs-ai/FlowerTune-LLM-Labs/blob/main/workspace/models/README.md) |
