sol-max-v2 complete (36 ckpts); -data/-record repos; serving note
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README.md
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@@ -104,6 +104,17 @@ context window, so its score is a **floor, not a measurement**. This is a packag
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not a capability difference, and it is not uniform across cells — grok is 0/59 correct while
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sol-high is 39/57. Comparing across that boundary measures packaging.
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## Cost per point of gain
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```python
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not a capability difference, and it is not uniform across cells — grok is 0/59 correct while
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sol-high is 39/57. Comparing across that boundary measures packaging.
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## The baseline row
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`Qwen/Qwen3.5-9B-Base` is in the manifest as `cell = BASELINE`, `hour = 0`,
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`driver_tokens_at_hour = 0` — the untrained model every cell started from, measured under the
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**same stock pi harness** as everything else on both suites. It is the `baseline_score` in the
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cost formula below; without it a "gain" has no zero point.
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It is well packaged: `eos_token_id = [248044, 248046]` (correct) and its chat template lives
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inside `tokenizer_config.json` rather than a separate `chat_template.jinja`, so it needs no
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eos-fixed variant.
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## Cost per point of gain
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```python
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