Along with the model, we are also releasing a new chat format library harmony to interact with the model. We read every piece of feedback, and take your input very seriously. To control the context window size this tool uses a scrollable window of text that the model can interact with. So it might fetch the first 50 lines of a page and then scroll to the next 20 lines after that. The model has also been trained to then use citations from this tool in its answers.
什么是 ChatGPT 中文版与 GPT-5
If you use Transformers’ chat template, it will automatically apply the harmony response format. If you use model.generate directly, you need to apply the harmony format manually using the chat template or use our openai-harmony package. The following command will automatically download the model and start the server. The torch and triton implementations require original checkpoint under gpt-oss-120b/original/ and gpt-oss-20b/original/ respectively. While vLLM uses the Hugging Face converted checkpoint under gpt-oss-120b/ and gpt-oss-20b/ root directory respectively. Additionally we are providing a reference implementation for Metal to run on Apple Silicon.
- The torch and triton implementations require original checkpoint under gpt-oss-120b/original/ and gpt-oss-20b/original/ respectively.
- If you are trying to run gpt-oss on consumer hardware, you can use Ollama by running the following commands after installing Ollama.
- To improve performance the tool caches requests so that the model can revisit a different part of a page without having to reload the page.
- Outside of bug fixes we do not intend to accept new feature contributions.
- These implementations are largely reference implementations for educational purposes and are not expected to be run in production.
- It also has some optimization on the attention code to reduce the memory cost.
ChatGPT 中文版（镜像站）
If you are trying to run gpt-oss on consumer hardware, you can use Ollama by running the following commands after installing Ollama. Welcome to the chicken road app download gpt-oss series, OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.
- You should implement your own equivalent of the YouComBackend class with your own browsing environment.
- During the training the model used a stateful tool which makes running tools between CoT loops easier.
- While vLLM uses the Hugging Face converted checkpoint under gpt-oss-120b/ and gpt-oss-20b/ root directory respectively.
- If you use Transformers’ chat template, it will automatically apply the harmony response format.
- Both models were trained using our harmony response format and should only be used with this format; otherwise, they will not work correctly.
It also exposes both the python and browser tool as optional tools that can be used. We also include an optimized reference implementation that uses an optimized triton MoE kernel that supports MXFP4. It also has some optimization on the attention code to reduce the memory cost. To run this implementation, the nightly version of triton and torch will be installed. This version can be run on a single 80GB GPU for gpt-oss-120b. These implementations are largely reference implementations for educational purposes and are not expected to be run in production.
Reference Metal implementation
This implementation is not production-ready but is accurate to the PyTorch implementation. Both models were trained using our harmony response format and should only be used with this format; otherwise, they will not work correctly. Some of our inference partners are also offering their own Responses API.
chatgpt-chinese-gpt/chatgpt-Chinese
The reference implementations in this repository are meant as a starting point and inspiration. Outside of bug fixes we do not intend to accept new feature contributions. If you build implementations based on this code such as new tool implementations you are welcome to contribute them to the awesome-gpt-oss.md file. The terminal chat application is a basic example of how to use the harmony format together with the PyTorch, Triton, and vLLM implementations.
如何免费使用 ChatGPT 中文版（支持 GPT-5）
The model was trained to use a python tool to perform calculations and other actions as part of its chain-of-thought. During the training the model used a stateful tool which makes running tools between CoT loops easier. This reference implementation, however, uses a stateless mode. As a result the PythonTool defines its own tool description to override the definition in openai-harmony.
ChatGPT中文版：国内访问指南（支持GPT-4，GPT4o，无需翻墙）
We include an inefficient reference PyTorch implementation in gpt_oss/torch/model.py. In this implementation, we upcast all weights to BF16 and run the model in BF16. You can use gpt-oss-120b and gpt-oss-20b with the Transformers library.
国内优质 ChatGPT 中文版免费镜像推荐
If you encounter torch.OutOfMemoryError, make sure to turn on the expandable allocator to avoid crashes when loading weights from the checkpoint. To improve performance the tool caches requests so that the model can revisit a different part of a page without having to reload the page. For that reason you should create a new browser instance for every request. This implementation is purely for educational purposes and should not be used in production. You should implement your own equivalent of the YouComBackend class with your own browsing environment.