Скачать или смотреть GPT-OSS!! OpenAI's Open Source Bombshell!!

OpenAI has just made a monumental announcement, releasing its *first open-weight models since GPT-2**: **gpt-oss-120b* and *gpt-oss-20b**! This move signals a significant shift towards **democratizing AI* and offering unprecedented control to developers and organizations.

These new models are powerful, transformer-based *Large Language Models (LLMs)* that leverage a *Mixture-of-Experts (MoE) architecture* for efficiency. They are primarily *text-only* models, focusing on advanced reasoning capabilities.

*Key Features and Benefits of GPT-OSS Models:*
*Superior Reasoning Capabilities**: These models are specifically designed as "reasoning models" that 'think' before answering, offering significant intelligence gains for complex problems. They support **Chain-of-Thought (CoT) reasoning* with configurable effort levels (low, medium, high) to balance performance and latency.
*High Performance**: The **gpt-oss-120b model achieves near-parity with OpenAI's proprietary o4-mini* on core reasoning benchmarks. It also outperforms o3-mini and GPT-4o in specific areas like competition coding (Codeforces) and mathematics (AIME), demonstrating strong capabilities in complex problem-solving.
**Exceptional Tool Use & Instruction Following**: Designed for agentic workflows, these models show strong capabilities in few-shot function calling and utilizing external tools such as web search and Python code execution.
**Long Context Window**: Both models natively support **context lengths up to 128k tokens**, making them suitable for extensive tasks like document analysis and summarization.
*Open-Weight & Flexible Licensing**: Released under the **Apache 2.0 license**, the models are freely available for download, modification, and redistribution. This provides **full control and customization* over the model's architecture and usage.
**Efficient Local Deployment**:
*gpt-oss-20b* (21B total parameters, 3.6B active) can run on consumer hardware with just **16GB of memory**, ideal for on-device applications and rapid iteration without costly infrastructure.
*gpt-oss-120b* (117B total parameters, 5.1B active) requires about *80GB of memory* and is suited for advanced GPUs like the Nvidia H100.
The models are natively quantized in *MXFP4 format* for optimal inference and memory efficiency.
**Wide Ecosystem Compatibility**: OpenAI has partnered with leading deployment platforms and hardware providers, ensuring optimized performance across various systems. This includes support for vLLM, Ollama, llama.cpp, Hugging Face, Azure, AWS, NVIDIA, AMD, Cerebras, and Groq.
*Enhanced Safety**: OpenAI has implemented comprehensive safety training and evaluations, including "worst-case fine-tuning" tests, to ensure these open models perform comparably to their frontier proprietary models on internal safety benchmarks. They've also launched a **Red Teaming Challenge* with a $500,000 prize fund to encourage the community to identify new safety issues.

This release addresses the growing demand for **AI sovereignty**, allowing companies to manage their AI systems in-house for privacy, compliance, and control. It empowers individual developers, startups, and resource-constrained sectors by lowering barriers to entry for advanced AI.

Learn more about how these models are shaping the future of AI!

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*Tags:* OpenAI, gpt-oss, Artificial Intelligence, AI Models, Open Source, Open Weights, LLMs, Large Language Models, Mixture of Experts, MoE, Reasoning, Chain of Thought, CoT, Local Inference, On-device AI, Apache 2.0, AI Hardware, Nvidia, AMD, Cerebras, Groq, AI Sovereignty, Data Privacy, AI Safety, Fine-tuning, AI Development, Tech News, Generative AI, AI Trends, Google Gemini, DeepSeek, Meta Llama, Mistral AI, Hugging Face, vLLM, Ollama, llama.cpp, LM Studio, Frontier AI