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chore: import upstream snapshot with attribution
2026-07-13 13:24:08 +08:00

46 lines
1.4 KiB
YAML

# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: Reproduce Mistral Magistral AIME2024 benchmark
prompts:
- |
Solve this AIME mathematical problem step by step.
Problem: {{question}}
Think through this carefully and provide your final answer as a 3-digit integer (000-999).
End with: "Therefore, the answer is [your answer]."
providers:
- id: mistral:magistral-medium-latest
label: Magistral Medium
config:
temperature: 0.7
top_p: 0.95
max_tokens: 40960
# The `magistral-small-latest` alias now resolves to Mistral Small 4, so use the
# canonical id. It contrasts a general hybrid model against native-reasoning Magistral.
- id: mistral:mistral-small-latest
label: Mistral Small 4
config:
temperature: 0.7
top_p: 0.95
max_tokens: 40960
tests:
- huggingface://datasets/sea-snell/aime-2024?split=test
defaultTest:
assert:
- type: llm-rubric
value: |
Evaluate this mathematical solution to an AIME competition problem.
The correct answer is: {{answer}}
Grade as PASS if and only if:
1. The response shows clear step-by-step mathematical reasoning
2. The final answer presented equals {{answer}} exactly
3. The mathematical work supports the conclusion
Grade as FAIL if the final answer is incorrect, regardless of the reasoning quality.