Alexander Whitestone
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e4f15254b3
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feat: wikitext-2 corpus + perplexity benchmark script (closes #21)
CI / test Auto-passed by Timmy review
CI / validate Auto-passed by Timmy review
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- Downloaded wikitext-2-raw-v1 test corpus (5782 lines, parquet→raw)
- Created benchmarks/run_perplexity.py: automated PPL quality gate
comparing f16 vs turbo4 KV cache configurations
- Added benchmarks/perplexity_results.json template
- Script handles: subprocess execution, PPL parsing, delta calc,
pass/fail against 0.5 threshold, JSON output
Usage: python3 benchmarks/run_perplexity.py --model <gguf> --llama-cpp <binary>
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2026-04-12 00:39:14 -04:00 |
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TurboQuant Agent
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dea59c04d7
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Add benchmark test prompts for quality comparison (Issue #22)
- 10 prompts covering all required categories:
1. Factual recall (thermodynamics)
2. Code generation (merge sorted lists)
3. Reasoning (syllogism)
4. Long-form writing (AI sovereignty essay)
5. Summarization (~250 word passage)
6. Tool-call format (JSON output)
7. Multi-turn context (number: 7429)
8. Math (17*23+156/12)
9. Creative (haiku about ML dreams)
10. Instruction following (numbered, bold, code block)
- Each prompt includes expected_pattern for automated scoring
- Multi-turn prompt has both initial and follow-up questions
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2026-03-31 17:31:05 +00:00 |
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