ethicalabs / Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 1
30-day runs: 2
Model's Last Updated: June 19 2026
text-generation

Introduction of Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT

Model Details of Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT

Evaluation Results (Pass@1)
  • HumanEval : 30.49 %
  • MBPP : 34.00 %
  • MultiPL-E (C++) : 23.60 %
  • MultiPL-E (JS) : 18.63 %
  • Average : 26.68 %
Model Details

This PEFT adapter has been trained by using Flower , a friendly federated AI framework.

The adapter and benchmark results have been submitted to the FlowerTune LLM Code Leaderboard .

Please check the following GitHub project for details on how to reproduce training and evaluation steps:

FlowerTune-LLM-Labs

Runs of ethicalabs Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
2
30-day runs

More Information About Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT huggingface.co Model

More Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT license Visit here:

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Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT install

Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT is an open source model from GitHub that offers a free installation service, and any user can find Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT on GitHub to install. At the same time, huggingface.co provides the effect of Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT install, users can directly use Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Flwr-SmolLM2-1.7B-Instruct-Coding-PEFT install url in huggingface.co:

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