OpenAI releases open-weight AI models for developers

Finally, OpenAI put the OPEN in AI 🚀 After years of watching the open-source AI scene grow LLaMA, Mistral, DeepSeek the biggest player has finally joined the party. OpenAI’s GPT‑oss‑20b and GPT‑oss‑120b are their first open-weight models in five years released under Apache 2.0 with zero strings attached. This is huge. Why does this matter especially if you’re building AI agents, dev tools, or automated workflows? Because these models are designed for real-world, tool-enabled, agentic use cases: 🛠️ Tool-Friendly Highlights: Native tool use browse the web, run code, look up data. Agents don’t just chat; they act. Flexible input/output integrate smoothly with APIs, search engines, or your own local functions. Low-latency local deployment run GPT‑oss‑20b right on your laptop for real-time responsiveness. No vendor lock-in download and run on your own infrastructure; no rate limits, no surprise fees. Works with popular open-source agent frameworks LangChain, AutoGen, LlamaIndex, and more. 🤖 Agent-Friendly Features: Chain-of-thought reasoning break complex tasks into steps, ideal for multi-step agent workflows. Mixture-of-experts architecture (120B model) only activates ~5B params per token, making inference cost-efficient. Open weights inspect exactly how the model reasons, debug hallucinations, and tune behavior. Modular & fine-tunable adapt agent personalities or capabilities without retraining huge models. Deployment-ready everywhere Hugging Face, SageMaker, local clusters build where it fits your needs. Edge and on-premises capable perfect for regulated or secure environments that avoid cloud dependency. The future isn’t locked behind proprietary APIs or single vendors. It’s open, customizable, and agentic. I’m thrilled to start building with these models and can’t wait to see what the community creates next. #OpenSource #AI #AgenticAI #GPTOSS #LLMs #BuildInPublic #Innovation

OpenAI 𝐣𝐮𝐬𝐭 𝐝𝐫𝐨𝐩𝐩𝐞𝐝 𝐚 𝐟𝐚𝐦𝐢𝐥𝐲 𝐨𝐟 #𝐨𝐩𝐞𝐧𝐬𝐨𝐮𝐫𝐜𝐞 𝐦𝐨𝐝𝐞𝐥𝐬, 𝐚𝐧𝐝 𝐢𝐭’𝐬 𝐚 𝐛𝐢𝐠𝐠𝐞𝐫 𝐝𝐞𝐚𝐥 𝐭𝐡𝐚𝐧 𝐲𝐨𝐮 𝐦𝐢𝐠𝐡𝐭 𝐭𝐡𝐢𝐧𝐤. They released a smaller 𝐠𝐩𝐭-𝐨𝐬𝐬-𝟐𝟎𝐛 (GPT 4o-mini like) and much larger 𝐠𝐩𝐭-𝐨𝐬𝐬-𝟏𝟐𝟎𝐛 (o3 like) under the permissive Apache 2.0 license 🔥 both reasoning (i.e., "thinking" - which you can customize its level of thinking) models with a 128K context window! You can run the 20b version on a modern computer (performance may vary). Check out my quick video below on how to get it up and running using Ollama's new UI! For the 120b, a powerful server with a good GPU is needed, of course. Here’s the breakdown of why this matters: 📌 𝐌𝐨𝐫𝐞 𝐀𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐥𝐞 𝐀𝐈: These models are smaller and more efficient, meaning you don’t need a massive budget to start building with OpenAI-level tech. 📌 𝐃𝐢𝐫𝐞𝐜𝐭 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧: This is a clear shot across the bow at other popular 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜e models like Meta, Mistral, Deepseek, and others. More competition is always good for developers. 📌 𝐀 𝐖𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬: Ultimately, more powerful, free tools empower the entire community to create the next wave of innovation. This model is designed for Agentic workflows and tool use! This feels like a pivotal moment for open-source AI. Are you excited as I am? 🤓 See the link to OpenAI's blog in the comments #gptoss #AI #ollama

🔍 𝐇𝐨𝐰 𝐎𝐩𝐞𝐧𝐀𝐈’𝐬 𝐆𝐏𝐓-𝐎𝐒𝐒 𝟏𝟐𝟎𝐁 𝐚𝐧𝐝 𝟐𝟎𝐁 𝐌𝐨𝐝𝐞𝐥𝐬 𝐖𝐨𝐫𝐤 🔍 OpenAI has launched two powerful open-source LLMs: GPT-OSS-120B and GPT-OSS-20B, now available under an Apache 2.0 license. These models bring high performance at low cost! Here’s how they function: 1️⃣ Input Processing: User input (e.g., a task or question) is converted into numerical tokens using Byte-Pair Encoding (BPE), ensuring flexibility in handling text, code, emojis, etc. 2️⃣ Token Embedding: Tokens are mapped to vectors using a learned embedding table, allowing the model to process and understand the input. 3️⃣ Transformer Layers: With 24 layers in the 20B model and 36 in the 120B model, each layer processes the input using self-attention and Mixture-of-Experts (MoE). 4️⃣ Efficient Computation: MoE architecture activates only the best 2 experts out of 64, optimizing resources and improving response quality. 5️⃣ Prediction & Output: The model generates the next word based on learned patterns, and after fine-tuning, delivers safe, helpful responses. This open-source release has the potential to revolutionize real-world applications. Have you tried OpenAI’s GPT-OSS models yet? Let us know your experience! Credit:- Alex Xu #OpenAI #GPT #AI #MachineLearning #LLM #TechInnovation #GenerativeAI #OpenSourceAI

OpenAI drops GPT-OSS 120B and 20B models — and it’s a game changer for open-source LLMs. The release of GPT-OSS 120B and 20B marks a huge step forward in making powerful generative models more transparent, reproducible, and accessible. These models bring near state-of-the-art capabilities without the lock-in of proprietary APIs. Key reasons this matters: ✅ 120B offers impressive generation quality—approaching GPT-3.5 class ✅ 20B is a nimble, fine-tuneable workhorse for custom applications ✅ Fully open weights, code, and training data transparency ✅ Reproducible training process (not just inference-ready!) ✅ Ideal for both academic research and enterprise sandboxing These models can be run, studied, modified, and deployed — a huge win for the AI community and anyone looking to build safely, independently, and at scale. The future isn’t just closed and API-gated. It's open, modular, and community-driven. 🔗 If you're experimenting with GPT-OSS or fine-tuning for niche domains, let’s connect! 💬 What will you build now that 120B-level power is open-source? #OpenAI #GPTOSS #OpenSourceAI #LLM #MachineLearning #AIForEveryone #GenerativeAI #LLMDevelopment #ResponsibleAI

𝐆𝐏𝐓-𝐎𝐒𝐒 𝐝𝐞𝐬𝐞𝐫𝐯𝐞𝐝 𝐦𝐨𝐫𝐞 𝐡𝐲𝐩𝐞 𝐛𝐮𝐭 𝐆𝐏𝐓-𝟓 𝐬𝐭𝐨𝐥𝐞 𝐭𝐡𝐞 𝐬𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭. Just days before GPT-5 launched, OpenAI released something groundbreaking: 𝐆𝐏𝐓-𝐎𝐒𝐒, its first open-weight model since GPT-2. It didn’t get the attention it deserved but it should have. Because you don’t need a data center to run it! ✅ The 20B version runs on 16GB RAM ✅ The 120B version challenges o4-mini in benchmarks. ✅ It’s fully open-source under Apache 2.0 → yes, even for commercial use. Why does this matter? For the first time in years, you can truly build with OpenAI without the API. You can fine-tune it, run it locally, and integrate it freely. This changes the game for: • Indie devs avoiding vendor lock-in • Researchers wanting transparency • Startups cutting costs ✅ It’s also a signal: OpenAI is responding to the open-source wave (Meta, Mistral, etc.) Is this a turning point in how we build with AI? #GPTOSS #OpenAI #AI #GPT5

𝗢𝗽𝗲𝗻𝗔𝗜 𝗶𝘀 𝗻𝗼𝘄 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 - 𝗮𝗻𝗱 𝗙𝗥𝗘𝗘.💥  OpenAI was never really open… until now. But finally - OpenAI is now truly open.  You can now use GPT-OSS 20B - OpenAI's first official open-source model. → Free. → Offline. → No API limits. → No $$$ burn. 𝗛𝗼𝘄 𝗜 𝘂𝘀𝗲𝗱 𝗶𝘁: ↳ Downloaded the 20B parameter model (there’s a 120B version too - if your device can handle it) ↳ Runs completely offline - no internet required ↳ Works inside LM Studio, Ollama, or any local LLM interface ↳ Comes with three reasoning modes - Low, Medium, High  Why this matters: ↳ No API keys needed ↳ No rate limits ↳ No monthly subscription ↳ Full control over your data ↳ Great for agent devs, offline prototyping, and AI side projects ⚠️ Reminder: Only download the model variant that fits your device specs. No point downloading 120B if your system gasps at 16GB RAM 😅 Access it here: https://lnkd.in/gUgnNF-A Try it locally using: https://lmstudio.ai/ Try it instantly in your browser:  gpt‑oss.com (playground)  We’ve entered a new era: From closed-source APIs to fully offline super-intelligence. And yes… OpenAI is finally open. Save this if you're tired of rate limits. Repost this if you're building with LLMs. #OpenAI #GPTOSS #LocalLLM #OfflineAI #Ollama #LMStudio #BuildWithAI #AIInfra #OpenSourceAI #HuggingFace #GPT4 #AIWorkflow #AgentDev #VoiceAI #LinkedInDiaries #CrackYourPlacement #BuildWithCommunity

🚀 GAME CHANGER ALERT: OpenAI Just Dropped Their First Open-Weight Models in 5+ Years! 🚀 This isn't just another AI release – this is HISTORY IN THE MAKING ⚡ Meet GPT-OSS: Two revolutionary models that are about to transform how we think about AI accessibility: 🔥 GPT-OSS-120B: 117B parameters with o4-mini level performance 🔥 GPT-OSS-20B: 21B parameters running on just 16GB memoryWhy This Changes EVERYTHING: ✅ First open-weight models since GPT-2 (2019) – After 5+ years of closed models, OpenAI is back to open-source! ✅ Apache 2.0 License – Complete commercial freedom. Build, modify, distribute without restrictions. ✅ Runs LOCALLY – No internet needed, no API costs, complete privacy control. The 20B model runs on consumer hardware with 16GB+ RAM! ✅ Mixture-of-Experts Architecture – Ultra-efficient with only 5.1B active parameters per token (120B) and 3.6B (20B) ✅ Chain-of-Thought Reasoning – Advanced problem-solving capabilities built right in ✅ 128K Context Window – Handle massive documents and complex conversations Real-World Impact: 🎯 Build AI agents that work offline 🎯 Deploy on edge devices and mobile 🎯 Create custom enterprise solutions 🎯 Fine-tune for domain-specific tasks 🎯 Zero rate limits, zero API costs Available NOW on: Hugging Face : https://lnkd.in/g9RvMTUD Azure AI Foundry : https://lnkd.in/gwKvNMnu AWS SageMaker : https://lnkd.in/g9knGccm Ollama : https://lnkd.in/g_363QuP This is OpenAI's boldest move toward democratizing AI. While everyone's waiting for GPT-5, they just handed us the keys to build the future ourselves! 🗝️ The AI landscape just shifted seismically. Are you ready to build something incredible? #AI #OpenAI #GPT #MachineLearning #OpenSource #Innovation #TechNews #AIModels #Local #EdgeAI What will YOU build with GPT-OSS? Drop your ideas below! 👇

⚔️ Internal Drama, Leaked Memos — and Now… OpenAI Goes Open-Weight Yes, it finally happened, and I’m losing my mind! 🔥 Just months ago (Nov 2023), OpenAI’s board briefly ousted Sam Altman amid fierce debates over AI safety, release pace, and transparency. The core question: “How boldly — and how publicly — should we ship frontier AI?” The dust has barely settled, and OpenAI just answered. Loudly. ⸻ 🚨 OpenAI Releases Its First Open-Weight Models Since GPT-2 Meet GPT-OSS 120B & 20B — downloadable, hack-able, Apache-2.0-licensed weights you can run on your own hardware: ✅ Commercial use allowed ✅ Offline inference (no API lock-in) ✅ Fine-tune for any domain ✅ Full weight inspection for research & tooling GitHub repo → https://lnkd.in/dfe9y3-u (“Open-weight” = weights + model card are public; training data & full training pipeline remain private.) ⸻ 🧠 How Powerful Are They? • 120B scores near parity with GPT-3.5+ on OpenAI’s internal reasoning benchmarks • Supports chain-of-thought prompts, function calls, multi-turn dialogue • Text-only, but production-ready for RAG, agents, code, and more In short: not a toy. These models step onto the same open arena as Llama 3, Mixtral, and Mistral — backed by OpenAI’s research depth. ⸻ 💥 Why This Matters For years the line between “open AI” and OpenAI felt stark. Today that line blurs: • Builders get true infrastructure-scale LLMs without closed APIs • Researchers gain transparency to probe safety & alignment directly • Start-ups can ship on-device AI products with no vendor tax Timing couldn’t be better: competition from DeepSeek, Moonshot, and big-tech rivals is heating up, and the open-weight wave just hit a new high-water mark. ⸻ I’m genuinely blown away. We’ve waited, we’ve watched — now we can build with real freedom. Let’s go. 🚀 #OpenAI #GPTOSS #OpenWeight #LLM #ArtificialIntelligence #MachineLearning #AICommunity #TechNews #Apache2 #Innovation #AIRevolution

🚀 OpenAI Goes Open — Meet GPT‑OSS OpenAI just dropped GPT‑OSS‑120B and GPT‑OSS‑20B — their first open-weight models since GPT‑2. Yes, open weights — under Apache 2.0, with no commercial restrictions. 🔓 What’s exciting: ✅ Fully open weights — use, modify, and deploy freely ✅ 20B model runs locally (even on high-end laptops) ✅ Benchmarks show near parity with OpenAI’s o3 model ✅ Extensively red-teamed for safe release This isn’t a full open-source pivot — it’s a strategic middle ground, balancing transparency and control while keeping their API-first business model intact. This is a huge unlock for on-device AI, privacy-first apps, and the indie dev community. It also signals pressure from open-weight leaders like Mistral, Meta, and DeepSeek. 🛠️ If you’re experimenting or building with GPT‑OSS, I’d love to hear what you’re working on! #AI #OpenSourceAI #OpenWeights #LLM #GPTOSS #AIagents #OpenAI