OpenAI has just dropped a seismic update in the AI world: the release of GitHub – openai/gpt-oss: gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI, its first open-weight models since GPT-2. This move marks a return to open development principles and unlocks powerful new possibilities for creators, developers, and researchers who want to run cutting-edge models locally—no cloud, no gatekeeping.

🚀 What Is GPT-OSS?
GPT-OSS comes in two flavors: How to run gpt-oss locally with Ollama
| Model | Parameters | Active Params/Token | VRAM Requirement | Ideal Use Case |
|---|---|---|---|---|
gpt-oss:20b | 21B | 3.6B | ≥16GB | Consumer laptops, Apple Silicon Macs |
gpt-oss:120b | 117B | 5.1B | ≥60GB | Multi-GPU workstations, enterprise setups |
These models use Mixture-of-Experts (MoE) architecture for efficient inference and are licensed under Apache 2.0, meaning you can use, modify, and monetize them freely.
🛠️ How to Deploy GPT-OSS Locally with Ollama
Ollama is the go-to platform for running GPT-OSS on your own hardware. Here’s a quick guide:
⚙️ Setup Steps
- Download for your OS: Download Ollama
- Supports macOS, Linux, and Windows 10+
🛠️ Pull the Model
bash
ollama pull gpt-oss:20b
# or
ollama pull gpt-oss:120b
💻 Run the Model
bash
ollama run gpt-oss:20b
This launches a chat interface using OpenAI’s Harmony format. Ollama exposes a Chat Completions-compatible API, so you can use the OpenAI SDK almost unchanged:
🔌 Local API Integration
python
from openai import OpenAI
client = OpenAI(
base_url="http://localhost:11434/v1",
api_key="ollama" # Dummy key
)
response = client.chat.completions.create(
model="gpt-oss:20b",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain MXFP4 quantization."}
]
)
print(response.choices[0].message.content)
🧠 Advanced Features
Function Calling: You can define tools and let GPT-OSS invoke them.
Agents SDK Integration: Use LiteLLM or AI SDK to plug GPT-OSS into OpenAI’s Agents framework.
Responses API Workaround: Not natively supported, but you can proxy via Hugging Face’s [Responses.js.]
📰 Coverage Roundup: GPT-OSS in the News
Here are some key articles covering this release:
- TechRepublic: OpenAI Launches GPT-OSS
- VentureBeat: OpenAI Returns to Open Source Roots
- Ars Technica: OpenAI Releases First Open Models Since 2019
- OpenAI Blog: Introducing GPT-OSS
- GitHub Repo: GPT-OSS Models

🥜 Final Nut: Why This Matters for Creators
This release isn’t just a technical milestone—it’s a creative liberation.
- Privacy by Design: Run models offline, keeping sensitive data secure.
- Customization: Fine-tune models for satire, storytelling, education, or advocacy.
- No Vendor Lock-In: Build workflows without relying on proprietary APIs or cloud costs.
- Philosophical Shift: Aligns with values of transparency, autonomy, and democratized access.
Whether you’re crafting satirical scripts, building educational tools, or exploring digital rights, GPT-OSS + Ollama gives you the freedom to create on your own terms.
Comment below or Contact Us with any questions
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