Zum Inhalt springen
ModelÜberprüftExtern
Herunterladen

Vision Global Tmdm Price LoRA Qwenvl3

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

ArtLoRABasismodellQwen/Qwen3-VL-4B-InstructVersionadapter_modelVerleger@acchfCBewertung

Modellquelle

Art
LoRA
Dateigröße
22,5 MB
Basismodell
Qwen/Qwen3-VL-4B-Instruct
Version
vadapter_model
Aktualisiert
3. Okt. 2026
Verleger
@acchf
Downloads
0
Parameter
4B
Aufgaben
Textgenerierung
Quelle
Hugging Face

Quellenbeschreibung

Model Card for vision-global-tmdm-price-lora-qwenvl3

This model is a fine-tuned version of Qwen/Qwen3-VL-4B-Instruct. 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="acchf/vision-global-tmdm-price-lora-qwenvl3", 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

  • TRL: 0.22.0
  • Transformers: 4.57.6
  • Pytorch: 2.6.0+cu124
  • Datasets: 3.5.0
  • Tokenizers: 0.22.2

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}}
}

Quellen

1 Quelle
Hugging FacePrimärVersion 064c049e4f380d2dd62cde353cda64a7913cbdb7
huggingface.co/acchf/vision-global-tmdm-price-lora-qwenvl3/tree/064c049e4f380d2dd62cde353cda64a7913cbdb7

Verifiziert 3. Okt.

Modellartefakte

1 Artefakt

adapter_model.safetensors

safetensors · 22,5 MB · SHA-256 48613d8b71e9…cca5 · Hugging Face

Herunterladen

Quellenauszüge

3 Auszüge

--- base_model: Qwen/Qwen3-VL-4B-Instruct library_name: transformers model_name: vision-global-tmdm-price-lora-qwenvl3 tags: - generated_from_trainer - sft - trl licence: license --- # Model Card for vision-global-tmdm-price-lora-qwenvl3 This model is a fine-tuned version of [Qwen/Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct). 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="acchf/vision-global-tmdm-price-lora-qwenvl3", 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 - TRL: 0.22.0 - Transformers: 4.57.6 - Pytorch: 2.6.0+cu124 - Datasets: 3.5.0 - Tokenizers: 0.22.2 ## Citations Cite TRL as: ```bibtex @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}} } ```

Source context: 0 downloads · 0 likes · Library transformers · Repo acchf/vision-global-tmdm-price-lora-qwenvl3

Source context: 0 downloads · 0 likes · Library transformers · Repo acchf/vision-global-tmdm-price-lora-qwenvl3