OpenWebUI/docs
1
0
Fork 0
mirror of https://github.com/open-webui/docs synced 2025-06-14 18:40:18 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Update deepseekr1-dynamic.md

Browse Source
This commit is contained in:
Timothy Jaeryang Baek 2025-01-31 01:40:17 -08:00
parent b034dff963
commit 6c1f8aa52d
1 changed files with 9 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
docs/tutorials/integrations/deepseekr1-dynamic.md
View File

@ -90,11 +90,15 @@ Here’s the command to start the server:
--n-gpu-layers 40 --n-gpu-layers 40
``` ```
> 🔑 **Parameters to Customize Based on Your Machine:**
> - **`--model`:** Replace `/[your-directory]/` with the path where the GGUF files were downloaded in Step 2. :::tip
> - **`--port`:** The server default is `8080`, but feel free to change it based on your port availability. 🔑 **Parameters to Customize Based on Your Machine:**
> - **`--ctx-size`:** Determines context length (number of tokens). You can increase it if your hardware allows, but be cautious of rising RAM/VRAM usage.
> - **`--n-gpu-layers`:** Set the number of layers you want to offload to your GPU for faster inference. The exact number depends on your GPU’s memory capacity — reference Unsloth’s table for specific recommendations. For CPU-only setups, set it to `0`. - **`--model`:** Replace `/[your-directory]/` with the path where the GGUF files were downloaded in Step 2.
- **`--port`:** The server default is `8080`, but feel free to change it based on your port availability.
- **`--ctx-size`:** Determines context length (number of tokens). You can increase it if your hardware allows, but be cautious of rising RAM/VRAM usage.
- **`--n-gpu-layers`:** Set the number of layers you want to offload to your GPU for faster inference. The exact number depends on your GPU’s memory capacity — reference Unsloth’s table for specific recommendations.
:::
For example, if your model was downloaded to `/Users/tim/Documents/workspace` and you have an RTX 4090 GPU with 24GB VRAM, your command would look like this: For example, if your model was downloaded to `/Users/tim/Documents/workspace` and you have an RTX 4090 GPU with 24GB VRAM, your command would look like this:
```bash ```bash