Documentation Index
Fetch the complete documentation index at: https://docs.benchgen.com/llms.txt
Use this file to discover all available pages before exploring further.
Upload a Model
Eval supports two ways to bring in a model: connecting an external API endpoint or uploading model weights directly.Option 1: Connect an External API
Use this for hosted models (OpenAI, Anthropic, your own inference endpoint, or a fine-tuned model from Train).- Go to Eval → Models → Add Model.
- Select API connection.
- Enter your endpoint URL and authentication token.
- Click Test connection to verify.
- Save — the model is now available for benchmark runs.
Option 2: Upload Model Weights
Use this for local checkpoints or merged LoRA adapters exported from Train.- Go to Eval → Models → Add Model.
- Select Upload weights.
- Upload your model files (supported formats: safetensors, GGUF).
- Select the base architecture.
- BenchGen spins up a temporary inference endpoint automatically.