Benchmark of google/gemma-4-E4B-it against kth8/ValleyBench dataset. Model's answer is considered correct if it is within 0.01 of ground answer.
Accuracy: 80.3% with Python tool.
Metric
Value
Correct
4014
Incorrect
958
Errors
28
Total samples
5000
Python tool calls
4843
Total completion tokens
4,595,312
Raw stats:
{
"accuracy": 0.803,
"correct": 4014,
"incorrect": 958,
"error": 28,
"total": 5000,
"python_tool_calls": 4843,
"completion_tokens": 4595312
}