Qwen3.5-9B-Benchmark-Test
What it is
A comprehensive evaluation framework designed to benchmark the Qwen3.5-9B model across multiple dimensions including reasoning, math, coding, and safety. It includes automated scoring, answer extraction, and structured logging for reproducible LLM analysis.
The problem it solves
Lack of unified, automated evaluation pipelines for multi-dimensional benchmarking (math, code, safety, long-context) and consistent result logging.
What you could use it for
- Benchmarking reasoning and math capabilities using GSM8K
- Evaluating code generation performance via HumanEval and MBPP
- Assessing safety and truthfulness using TruthfulQA
- Measuring long-context retrieval with Needle-in-a-Haystack
- Generating structured logs and visualizations for LLM performance tracking
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.