BleachNick / Qwen2-VL-2B-Instruct-SFT-TrainA_R1

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: -1
30-day runs: 9
Model's Last Updated: February 05 2025
image-text-to-text

Introduction of Qwen2-VL-2B-Instruct-SFT-TrainA_R1

Model Details of Qwen2-VL-2B-Instruct-SFT-TrainA_R1

Model Card for Qwen2-VL-2B-Instruct-SFT-TrainA_R1

This model is a fine-tuned version of Qwen/Qwen2-VL-2B-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="BleachNick/Qwen2-VL-2B-Instruct-SFT-TrainA_R1", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure

Visualize in Weights & Biases

This model was trained with SFT.

Framework versions
  • TRL: 0.15.0.dev0
  • Transformers: 4.49.0.dev0
  • Pytorch: 2.5.1+cu121
  • Datasets: 3.2.0
  • Tokenizers: 0.21.0
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 Gallouédec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}

Runs of BleachNick Qwen2-VL-2B-Instruct-SFT-TrainA_R1 on huggingface.co

12
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
9
30-day runs

More Information About Qwen2-VL-2B-Instruct-SFT-TrainA_R1 huggingface.co Model

Qwen2-VL-2B-Instruct-SFT-TrainA_R1 huggingface.co

Qwen2-VL-2B-Instruct-SFT-TrainA_R1 huggingface.co is an AI model on huggingface.co that provides Qwen2-VL-2B-Instruct-SFT-TrainA_R1's model effect (), which can be used instantly with this BleachNick Qwen2-VL-2B-Instruct-SFT-TrainA_R1 model. huggingface.co supports a free trial of the Qwen2-VL-2B-Instruct-SFT-TrainA_R1 model, and also provides paid use of the Qwen2-VL-2B-Instruct-SFT-TrainA_R1. Support call Qwen2-VL-2B-Instruct-SFT-TrainA_R1 model through api, including Node.js, Python, http.

Qwen2-VL-2B-Instruct-SFT-TrainA_R1 huggingface.co Url

https://huggingface.co/BleachNick/Qwen2-VL-2B-Instruct-SFT-TrainA_R1

BleachNick Qwen2-VL-2B-Instruct-SFT-TrainA_R1 online free

Qwen2-VL-2B-Instruct-SFT-TrainA_R1 huggingface.co is an online trial and call api platform, which integrates Qwen2-VL-2B-Instruct-SFT-TrainA_R1's modeling effects, including api services, and provides a free online trial of Qwen2-VL-2B-Instruct-SFT-TrainA_R1, you can try Qwen2-VL-2B-Instruct-SFT-TrainA_R1 online for free by clicking the link below.

BleachNick Qwen2-VL-2B-Instruct-SFT-TrainA_R1 online free url in huggingface.co:

https://huggingface.co/BleachNick/Qwen2-VL-2B-Instruct-SFT-TrainA_R1

Qwen2-VL-2B-Instruct-SFT-TrainA_R1 install

Qwen2-VL-2B-Instruct-SFT-TrainA_R1 is an open source model from GitHub that offers a free installation service, and any user can find Qwen2-VL-2B-Instruct-SFT-TrainA_R1 on GitHub to install. At the same time, huggingface.co provides the effect of Qwen2-VL-2B-Instruct-SFT-TrainA_R1 install, users can directly use Qwen2-VL-2B-Instruct-SFT-TrainA_R1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Qwen2-VL-2B-Instruct-SFT-TrainA_R1 install url in huggingface.co:

https://huggingface.co/BleachNick/Qwen2-VL-2B-Instruct-SFT-TrainA_R1

Url of Qwen2-VL-2B-Instruct-SFT-TrainA_R1

Qwen2-VL-2B-Instruct-SFT-TrainA_R1 huggingface.co Url

Provider of Qwen2-VL-2B-Instruct-SFT-TrainA_R1 huggingface.co

BleachNick
ORGANIZATIONS

Other API from BleachNick

huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:July 08 2025