**Root cause**  
The server is trying to allocate a KV cache for a context size of **262,144 tokens**, which requires far more GPU memory than the 1 GiB currently free. The GPU simply doesn’t have enough RAM to satisfy the request, so the allocation fails.

**Next two actions**  
1. **Reduce the requested context size** (e.g., lower the `ctx` or `max_seq_len` parameter) or switch to a smaller model that needs less KV cache.  
2. **Free GPU memory** (restart the server, kill other GPU‑heavy processes, or move the model to CPU) or upgrade to a GPU with more VRAM if the workload demands the large context.