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Summarise benchmark wins at the top of the results

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@@ -63,6 +63,11 @@ Training and evaluation code, the benchmarks and an MCP server for coding agents
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  ## Results
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  All numbers come from held-out test data that no training or model-selection step used. Each model was scored once,
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  with the same protocol. The comparison models are open models of similar size, evaluated zero-shot.
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  ## Results
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+ CodeIntel-150M is the best open model of its size on **7 of 15 benchmarks**, including all three issue-localization
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+ benchmarks, test-to-implementation retrieval, TypeScript call-site navigation, CoIR StackOverflow QA and
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+ CodeSearchNet Python. The full per-model table is in
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+ [docs/results/benchmarks.md](https://github.com/vedevpatel/codeintel-150m/blob/main/docs/results/benchmarks.md).
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  All numbers come from held-out test data that no training or model-selection step used. Each model was scored once,
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  with the same protocol. The comparison models are open models of similar size, evaluated zero-shot.
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