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add FAQ for slow networking in WSL2 (#1646)

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Patrick Devine 2023-12-20 16:27:24 -08:00 committed by GitHub
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README.md
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@ -17,7 +17,7 @@ Get up and running with large language models locally.
### Windows ### Windows
Coming soon! Coming soon! For now, you can install Ollama on Windows via WSL2.
### Linux & WSL2 ### Linux & WSL2

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docs/faq.md
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@ -154,3 +154,11 @@ docker run -d -e HTTPS_PROXY=https://my.proxy.example.com -p 11434:11434 ollama-
The Ollama Docker container can be configured with GPU acceleration in Linux or Windows (with WSL2). This requires the [nvidia-container-toolkit](https://github.com/NVIDIA/nvidia-container-toolkit). See [ollama/ollama](https://hub.docker.com/r/ollama/ollama) for more details. The Ollama Docker container can be configured with GPU acceleration in Linux or Windows (with WSL2). This requires the [nvidia-container-toolkit](https://github.com/NVIDIA/nvidia-container-toolkit). See [ollama/ollama](https://hub.docker.com/r/ollama/ollama) for more details.
GPU acceleration is not available for Docker Desktop in macOS due to the lack of GPU passthrough and emulation. GPU acceleration is not available for Docker Desktop in macOS due to the lack of GPU passthrough and emulation.
## Why is networking slow in WSL2 on Windows 10?
This can impact both installing Ollama, as well as downloading models.
Open `Control Panel > Networking and Internet > View network status and tasks` and click on `Change adapter settings` on the left panel. Find the `vEthernel (WSL)` adapter, right click and select `Properties`.
Click on `Configure` and open the `Advanced` tab. Search through each of the properties until you find `Large Send Offload Version 2 (IPv4)` and `Large Send Offload Version 2 (IPv6)`. *Disable* both of these
properties.