Is there something wrong with Local LLM ability to read file?

<!-- SC_OFF --><div class="md"><p>I've tried Mistral 3 3B, Qwen 3.5 2B, and Gemma 4 e2B. Attach a 56 page 1.8MB machine readable PDF. LM Studio gives me a popup introducing its

<!-- SC_OFF --><div class="md"><p>I'm trying to find an AI solution where my prompts and data never leave my PC at all. I don't want any company training their models on my

<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>I taught Computer Science for 30 years in a French School of Electrical Engineering, Computer Science Department.</p> <p>I recently

<!-- SC_OFF --><div class="md"><p>Hello everyone,</p> <p>I’m looking for an AI that runs entirely locally on my PC, without needing an internet connection.</p> <p>I’d like it to

<!-- SC_OFF --><div class="md"><p>I read this sub every day and I keep seeing benchmarks and discussions focused almost entirely on tokens/s generation speed. Prompt processing

<!-- SC_OFF --><div class="md"><p>I have experience using llama.cpp on Windows/Linux with 8GB NVIDIA card (384 GB/s bandwidth) and offloading to CPU to run MoE models. I typically

<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I’m currently working on a project to build a <strong>100% local AI chatbot</strong> for a government-related use case

<!-- SC_OFF --><div class="md"><p>I’m trying to understand the current open-source LLM landscape beyond surface-level hype.</p> <p>We all got used to the nerfed products of