#gptoss #ai #localai #ollama #rtx4050 #chatgpt #acernitrolite16 #llm #mistralai #mistral #meta #metaai #largelanguagemodels #benchmark #llama3 #qwen3 #qwenai #deepseek #deepseekai #offline #test #alibabacloud #laptop #acernitro Ever wondered if a laptop RTX 4050 can actually handle local LLMs like GPT‑OSS? In this video, I put my Acer Nitro Lite 16 (RTX 4050 + i5‑13420H) through its paces, running Ollama models locally and benchmarking performance, speed, and GPU Temperature. We’ll test: ⚡ How smooth (or chaotic) the RTX 4050 runs GPT‑OSS and other models like DeepSeek-R1 8B, Mistral-Nemo 12B locally 🧠 Ollama model performance on a mid‑range laptop GPU 🔥 Real bottlenecks: VRAM, CPU load, and thermal limits 🎭 The dev ritual of pushing hardware beyond expectations Timeline: 00:00 Meta Llama 3.2 1b 01:30 Qwen 3 4b 03:02 DeepSeek R1 8b 05:38 Mistral Nemo 12b 08:43 OpenAI GPT - OSS 20b If you’re curious about local AI, LLM benchmarks, or just want to see whether a laptop RTX 4050 can survive the GPT‑OSS trial, this is the video you don’t want to miss.