---
base_model: HuggingFaceTB/SmolLM2-135M
library_name: transformers
model_name: smollm-smtalk-v1
tags:
- generated_from_trainer
- trl
- sft
licence: license
license: mit
datasets:
- HuggingFaceTB/smol-smoltalk
pipeline_tag: text-generation
---

# Model Card for smollm-smtalk-v1

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M).
It has been trained using [TRL](https://github.com/huggingface/trl).

## Quick start

```python
from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="sfarrukh/smollm-smtalk-v1", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```

## Training procedure

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/farrukhmehmood-nts-the-islamia-university-of-bahawalpur/huggingface/runs/dbkkuti9) 


This model was trained with SFT.

### Framework versions

- TRL: 0.13.0
- Transformers: 4.48.1
- Pytorch: 2.5.1+cu121
- Datasets: 3.2.0
- Tokenizers: 0.21.0