# Zied Ben hadj Amor: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/mrbhazied
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

---

## Models

Model · Text generation

### [tuned-SmolLM2-135M-Instruct-test-s](https://savrn.com/models/tuned-smollm2-135m-instruct-test-s)

[Zied Ben hadj Amor](https://savrn.com/model-publishers/mrbhazied)

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M-Instruct on an unknown dataset. The following hyperparameters were used during training: - learningrate: 2e-05 - trainbatchsize: 1 - evalbatchsize: 1 - gradientaccumulationsteps: 4 - totaltrainbatchsize: 4 - lrschedulertype: linear - numepochs: 1 - Transformers 5.17.0 - Pytorch 2.11.0+cu130 - Datasets 4.8.5 - Tokenizers 0.23.2

Open weights apache-2.0 135M parameters 8,192 tokens transformers

[View model](https://savrn.com/models/tuned-smollm2-135m-instruct-test-s)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-10-03.
- [Hugging Face profile](https://huggingface.co/mrbhazied)
- [How the hub is built](https://savrn.com/model-hub/methodology)