ethicalabs / xLSTM-7b-Instruct-PEFT

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: 2
30-day runs: 8
Model's Last Updated: June 19 2026
text-generation

Introduction of xLSTM-7b-Instruct-PEFT

Model Details of xLSTM-7b-Instruct-PEFT

Model Card for xlstm-7b-chatml

This model is a fine-tuned version of NX-AI/xLSTM-7b . It has been trained using TRL .

Quick start
TODO
Training procedure

Visualize in Weights & Biases

This model was trained with SFT.

Framework versions
  • PEFT 0.17.1
  • TRL: 0.23.1
  • Transformers: 4.57.0
  • Pytorch: 2.8.0+cu128
  • Datasets: 4.2.0
  • Tokenizers: 0.22.1
Citations

Cite TRL as:

@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}

Runs of ethicalabs xLSTM-7b-Instruct-PEFT on huggingface.co

9
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
8
30-day runs

More Information About xLSTM-7b-Instruct-PEFT huggingface.co Model

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xLSTM-7b-Instruct-PEFT huggingface.co is an AI model on huggingface.co that provides xLSTM-7b-Instruct-PEFT's model effect (), which can be used instantly with this ethicalabs xLSTM-7b-Instruct-PEFT model. huggingface.co supports a free trial of the xLSTM-7b-Instruct-PEFT model, and also provides paid use of the xLSTM-7b-Instruct-PEFT. Support call xLSTM-7b-Instruct-PEFT model through api, including Node.js, Python, http.

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xLSTM-7b-Instruct-PEFT install

xLSTM-7b-Instruct-PEFT is an open source model from GitHub that offers a free installation service, and any user can find xLSTM-7b-Instruct-PEFT on GitHub to install. At the same time, huggingface.co provides the effect of xLSTM-7b-Instruct-PEFT install, users can directly use xLSTM-7b-Instruct-PEFT installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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