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Add benchmark results for meta-llama/llama-3.2-1b-instruct#575

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benchmark/meta-llama-llama-3-2-1b-in-truct-27267114624
Jun 10, 2026
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Add benchmark results for meta-llama/llama-3.2-1b-instruct#575
pei-tinybird merged 1 commit into
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benchmark/meta-llama-llama-3-2-1b-in-truct-27267114624

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This PR adds benchmark results for the meta-llama/llama-3.2-1b-instruct model.

Results have been pushed to Tinybird with validated=0 (pending review).
Merging this PR will validate the results, making them visible on the production dashboard.

This PR was automatically generated by the benchmark workflow.

Note: If you don't want to merge this PR, close it and the model will be added to the failed list.

/cc pei-tinybird,gnzjgo

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Project Deployment Actions Updated (UTC)
llm-benchmark Ready Ready Preview, Comment Jun 10, 2026 10:41am

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Automated Benchmark Review

Model: meta-llama/llama-3.2-1b-instruct
Review model: openai/gpt-5.4-nano
Success rate: 52.0%


  1. Quality summary: The model achieved a 52% success rate (26/50), with 50% first-attempt success, indicating moderate reliability. Latency is reasonable (avg 1.56), and execution time is low (avg 0.2748), but error frequency is high.

  2. Concerns / anomalies: The main concern is the high error count (24/50)—nearly half the runs failed. Given the close match between success rate and first-attempt rate, retries don’t appear to materially improve outcomes, suggesting systematic failure modes rather than occasional flakiness.

  3. Recommendation: REVIEW — the error rate is substantial enough to warrant human investigation (e.g., error categories, prompt sensitivity, or integration issues) before treating results as reliable.
    Recommendation: REVIEW


This review was automatically generated. Set AUTO_MERGE=false in repo variables to disable auto-merge.

@pei-tinybird pei-tinybird merged commit 6955334 into main Jun 10, 2026
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3 participants