Evaluate LLM academic benchmarks

Evaluate large language models across 60+ academic benchmarks

Standardized model comparison using industry-standard benchmarks when you need reproducible academic metrics.

• · model identifier (HuggingFace/API)
• · task selection (MMLU/GSM8K/HumanEval/etc)
• · few-shot count

• · task-specific accuracy scores
• · error statistics
• · JSON results with metrics

• · HuggingFace Models API
• · vLLM backend
• · NVIDIA CUDA GPU (optional)

Model must be HuggingFace-compatible or API-accessible; sufficient GPU memory for chosen model size

• · Out-of-memory on large models
• · API rate limiting
• · Task not supported for model architecture
• · Inconsistent few-shot formatting breaking results

• · EleutherAI industry standard
• · 60+ benchmarks available
• · HuggingFace integration mature