---
license: apache-2.0
datasets:
- flwrlabs/code-alpaca-20k
language:
- en
base_model:
- Qwen/Qwen3-4B
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 has been be 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)


## Evaluation Results (Pass@1 score)

- **HumanEval**: 64.63 %
- **MBPP**: 54.8 %
- **MultiPL-E (C++)**: 60.87 %
- **MultiPL-E (JS)**: 61.49 %
- **Average**: 60.45 %

The evaluation was conducted on an NVIDIA A40 (48 GB).