> ## Documentation Index > Fetch the complete documentation index at: https://benchgen.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Add a Model > Register a new model in Eval by uploading a model archive or importing one from HuggingFace. Every evaluation and inference run starts from a model in your workspace. Adding one is a quick two-part flow: give the model a name, then choose where its weights come from. You can upload your own archive or import a model straight from HuggingFace. *** ## Two ways to add a model | Source | Use when | What you provide | | ------------ | ------------------------------------------------------------------------------- | ---------------------------------------------------------------- | | **File** | You have your own weights, such as a fine-tuned checkpoint or a merged adapter. | A `.zip` archive containing `config.json` and the model weights. | | **HF model** | You want a public model from the HuggingFace Hub. | A search term, then pick the model from the results. | *** ## Steps ### 1. Open the Models page and click Add Model In the **Eval** tab, click **Models** in the left sidebar, then click **+ Add Model** in the top right of the **AI Models** page. The AI Models page with the Add Model button in the top right ### 2. Enter the basic details The **Add Model** panel slides in. Give the model a **name** (for example `myqwen3-0.6b-model`) and, optionally, a short **description**. You can edit the description later, so it's fine to leave it blank for now. Click **Add Model** to continue. You'll choose where the weights come from on the next step. The Add Model panel with the model name and description fields Pick a name you'll recognize later in model lists and leaderboards. Avoid throwaway names like `test1`. ### 3. Choose where the model comes from The model is created in a **Draft** state and opens to its model card. The **Add Model** card prompts you to choose a source. Pick one of the two tabs. #### Option A — Upload a file On the **File** tab, drag and drop a model archive onto the upload area, or click **Browse Files** to pick it. The archive should be a `.zip` containing `config.json` and the model weights. Once the file is attached, click **Add model**. The File tab showing the drag-and-drop upload area #### Option B — Import from HuggingFace On the **HF model** tab, type a model name into **Search HuggingFace models** (for example `llama`, `qwen`, or `mistral`). The HF model tab with the HuggingFace search box As you type, matching models appear with their download count, likes, and task tag. Click the one you want. HuggingFace search results for qwen The selected model shows as a chip, and the **Add model** button becomes active. Click **Add model** to import it. A HuggingFace model selected with the Add model button enabled ### 4. Confirm the model is ready BenchGen registers the model and provisions its endpoint. When it finishes, the status badge changes to **ready** and the model card's endpoint panel fills in with its **LiteLLM Name**, **Endpoint URL**, access **Token**, and basic information such as format and visibility. The model card after import, showing a ready status and endpoint details Your model now appears in the **Models** list and is available for inference and evaluation. *** ## Next Steps * [Deploy an inference model](/eval/run-an-inference-model) * [Evaluate an inference model](/eval/evaluate-a-running-model) * [Run a benchmark](/eval/run-a-benchmark)