**Root Cause:** The requested context length (262,144 tokens) requires significantly more VRAM than the available 1,024 MiB. The KV cache memory footprint scales linearly with context size, and 1 GB is insufficient to hold the attention state tensors for this window.

**Next Two Actions:**
1. Reduce the context size parameter (`--ctx-size` or `--n_ctx`) to a value that fits within your available VRAM (e.g., 4096 or 8192).
2. Lower the GPU offload setting (`--n-gpu-layers`/`--ngl`) to offload model weights to CPU/RAM, freeing GPU VRAM for the KV cache, or run the server entirely on CPU.