FlameF0X / TinyGPT

huggingface.co
Total runs: 434
24-hour runs: 0
7-day runs: 113
30-day runs: 113
Model's Last Updated: October 18 2026
text-generation

Introduction of TinyGPT

Model Details of TinyGPT

TinyGPT

TinyGPT is a 1:1 copy of anwgpt4.1 at weights, but I am the one who trained the model I claim my right to reserve my work.

How do use the model
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="FlameF0X/TinyGPT")

# Example of text generation (you can modify the input text but keep the format like this)
print(pipe("""Human: How much is 1 + 1?

Assistant:"""))
Examples

Human: What is artificial intelligence?

Assistant: Artificial intelligence is the study of computers how to think and act like humans. AI has become a major component that enables users to learn from data and then controls on large amounts of data, enabling computers to identify patterns in order and improve their operations. This means that computers can be able to quickly learn more quickly and accurately than relying on actions without explicit instructions or problems they have previously done. The study also uses machine learning algorithms for understanding systems, providing efficient access to complex tasks faster and better-driven activities


Prompt: Human: How do neural networks work?

Assistant: Neural networks can use artificial intelligence based on a variety of applications. These type data allows computers to learn from different perspective and perspectives about their inputs, while improving the performance of data levels. This network uses computer systems such as voice language processing, chatbots or video cards for analysis. ML is also capable of creating intelligent machines that can learn from the human in-time and accurately distribute information each other through various devices. Data scientists can be used to study problems with patterns and connections between humans. MLFlow


Human: Who created you?

Assistant: I am not programmed to have the internet, but I do not have access to real-time data or information. However, if you are interested in learning about creating your own website and finding a source of information, it is important that you can easily find an account with relevant information on user experience. If you are unsure about this questions, feel free to ask me for more assistance. I check out my website and see what steps are available now.

Runs of FlameF0X TinyGPT on huggingface.co

434
Total runs
0
24-hour runs
15
3-day runs
113
7-day runs
113
30-day runs

More Information About TinyGPT huggingface.co Model

More TinyGPT license Visit here:

https://choosealicense.com/licenses/mit

TinyGPT huggingface.co

TinyGPT huggingface.co is an AI model on huggingface.co that provides TinyGPT's model effect (), which can be used instantly with this FlameF0X TinyGPT model. huggingface.co supports a free trial of the TinyGPT model, and also provides paid use of the TinyGPT. Support call TinyGPT model through api, including Node.js, Python, http.

FlameF0X TinyGPT online free

TinyGPT huggingface.co is an online trial and call api platform, which integrates TinyGPT's modeling effects, including api services, and provides a free online trial of TinyGPT, you can try TinyGPT online for free by clicking the link below.

FlameF0X TinyGPT online free url in huggingface.co:

https://huggingface.co/FlameF0X/TinyGPT

TinyGPT install

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

TinyGPT install url in huggingface.co:

https://huggingface.co/FlameF0X/TinyGPT

Url of TinyGPT

Provider of TinyGPT huggingface.co

FlameF0X
ORGANIZATIONS

Other API from FlameF0X

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