Unlock OpenAI’s gpt-oss: Run & Fine-Tune Billion-Parameter Models on Consumer Hardware

8 hours ago 高效码农

The Complete Guide to Running and Fine-Tuning OpenAI’s gpt-oss Models with Unsloth You might wonder: How can I run billion-parameter open-source models efficiently? OpenAI’s newly released gpt-oss series combined with Unsloth’s toolchain enables high-performance inference and fine-tuning on consumer hardware. What Are gpt-oss Models? In August 2025, OpenAI open-sourced two breakthrough language models: gpt-oss-120b and gpt-oss-20b. Both models feature: Apache 2.0 license for commercial use 128k context window for long-form reasoning State-of-the-art performance in reasoning, tool use, and agentic tasks Key Model Specifications Model Parameters Performance Benchmark Core Strengths gpt-oss-20b 20 billion Matches o3-mini Tool calling, chain-of-thought reasoning gpt-oss-120b 120 …

How to Run and Fine-Tune Qwen3 Locally with Unsloth Dynamic 2.0 Quantization

3 months ago 高效码农

How to Run and Fine-Tune Qwen3 Locally: A Complete Guide to Unsloth Dynamic 2.0 Quantization Unlock the full potential of large language models with Qwen3 and Unsloth’s cutting-edge quantization technology. Why Qwen3 Stands Out in the AI Landscape 1.1 Unmatched Performance in Reasoning and Multilingual Tasks Alibaba Cloud’s open-source 「Qwen3 model」 redefines benchmarks for logical reasoning, instruction-following, and multilingual processing. Its native 「128K context window」 (equivalent to 200,000+ Chinese characters) allows seamless analysis of lengthy technical documents or literary works, eliminating the “context amnesia” seen in traditional models. 1.2 The Quantization Breakthrough: Unsloth Dynamic 2.0 Experience minimal accuracy loss with …