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Qwen3 4B Base AlexandriaX Default

This model is a fine-tuned version of Qwen/Qwen3-4B-Base. It has been trained using TRL.

TipoOtherModelo baseQwen/Qwen3-4B-BaseVersãoRevision f617722

Fonte do modelo

Tipo
Other
Tamanho do arquivo
126 MB
Modelo base
Qwen/Qwen3-4B-Base
Versão
vRevision f617722
Atualizado
22 de set. de 2026
Downloads
5
Tarefas
Geração de texto
Fonte
Hugging Face

Descrição da fonte

Model Card for qwen3_default_alexandriaX_lora

This model is a fine-tuned version of Qwen/Qwen3-4B-Base. It has been trained using TRL.

Quick start

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="None", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

This model was trained with SFT.

Framework versions

  • PEFT 0.19.1
  • TRL: 1.8.0
  • Transformers: 5.13.1
  • Pytorch: 2.13.0
  • Datasets: 5.0.0
  • Tokenizers: 0.22.2

Citations

Cite TRL as:

@software{vonwerra2020trl,
  title   = {{TRL: Transformers Reinforcement Learning}},
  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
  license = {Apache-2.0},
  url     = {https://github.com/huggingface/trl},
  year    = {2020}
}

Fontes

1 fonte
Hugging FacePrimárioVersão f617722680b90b0a7968f044fd72c628c0f4a8b5
huggingface.co/SeifMaan/Qwen3-4B-Base-AlexandriaX-Default/tree/f617722680b90b0a7968f044fd72c628c0f4a8b5

Verificado 22 de set.

Artefatos de modelo

1 artefato

adapter_model.safetensors

safetensors · 126 MB · SHA-256 2189ce352d40…a113 · Hugging Face

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Trechos de fonte

2 trechos

--- base_model: Qwen/Qwen3-4B-Base library_name: peft model_name: qwen3_default_alexandriaX_lora tags: - base_model:adapter:Qwen/Qwen3-4B-Base - lora - sft - transformers - trl licence: license pipeline_tag: text-generation --- # Model Card for qwen3_default_alexandriaX_lora This model is a fine-tuned version of [Qwen/Qwen3-4B-Base](https://huggingface.co/Qwen/Qwen3-4B-Base). 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="None", device="cuda") output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] print(output["generated_text"]) ``` ## Training procedure This model was trained with SFT. ### Framework versions - PEFT 0.19.1 - TRL: 1.8.0 - Transformers: 5.13.1 - Pytorch: 2.13.0 - Datasets: 5.0.0 - Tokenizers: 0.22.2 ## Citations Cite TRL as: ```bibtex @software{vonwerra2020trl, title = {{TRL: Transformers Reinforcement Learning}}, author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin}, license = {Apache-2.0}, url = {https://github.com/huggingface/trl}, year = {2020} } ```

Source context: 5 downloads · 0 likes · Pipeline text-generation · Library peft · Repo SeifMaan/Qwen3-4B-Base-AlexandriaX-Default