Context
How far can a 6 GB Pascal GPU go when running current local models?
This experiment explores local LLM inference on an NVIDIA GTX 1060 using llama.cpp with CUDA support for an architecture that is no longer targeted by many modern configurations.
Environment
- NVIDIA GTX 1060 6 GB
- CUDA
- llama.cpp
- quantized GGUF models
- local and containerized execution
Goal
Understand the practical limits of legacy hardware for local inference: memory, context, GPU offload, performance and model size.
Status
Active experiment. Results and configurations evolve as new models and workloads are tested.
