… DeepSeek R1 Distill kept showing up in every local LLM conversation I was following, and at first it was hard to see what made it so different from models I was already running. …
… First: What GPU should I buy to start running local LLMs, on a tight budget? …
… In doing so, Intel is helping to maximize LLM applications on local clients and expand to broader audiences and applications, helping unlock more applications for device-side agents. …
… Related I finally found a local LLM I want to use every day and it's not for coding Local AI that actually fits into my day Qwen 3.5 4B My unplanned third pick Phi-3.5 mini was supposed to be the third model. …
… It refused, then talked itself into building a bypass anyway I posed as the developer of the application, it caught me out The plan I had was pretty simple, and one that used to work with local LLMs pretty consistently. …
… By following this guide, you have learned how to deploy Qwen3.6 using vLLM/sglang to utilize specialized tool-calling parsers for agentic tasks and how to deploy Qwen code locally by using Qwen3.6-35B-A3B. …
… Sign in to your XDA account Local LLMs are one of those things that started off as a novelty and ended up being more useful than I expected . …
… How to Run Qwen 3.8 with vLLM on AMD Instinct GPUs FP8 Deployment vLLM Docker: docker pull vllm/vllm-openai-rocm:qwen38 Configuration: Two MI355X Nodes: Parallelism: TP=8, PP=2 Ray: 2 nodes, 16 GPUs API: http://10.24.112.181:8000/v1 Env args: export RAY ADDRESS=10.24.112.181:6380 export HIP VISIBLE… …
… I said I'd be testing this with a local model , and providing your own model is what the free tier expects after you use your $50 credit allowance. I suspect that most will bring their own cloud-based subscription, but I was especially curious how a local LLM would handle it instead. …