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This PR adds benchmark results for the deepseek/deepseek-r1-distill-llama-70b 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.
Quality summary: Out of 50 runs, 33 succeeded for a 66% success rate, with 48% first-attempt success, indicating a moderate level of reliability. Latency is reasonable (avg 23.64), and successful executions complete quickly (avg execution time 0.4920), suggesting performance is efficient when it works.
Concerns/anomalies: The main concern is the relatively high failure count (17/50 = 34% errors), and the gap between firstAttemptRate (48%) and successRate (66%) suggests many recoveries require reruns or retries. Without error breakdowns, it’s unclear whether failures are due to model correctness, prompt/tooling issues, or runtime constraints.
Recommendation:REVIEW
Recommendation: REVIEW
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This PR adds benchmark results for the deepseek/deepseek-r1-distill-llama-70b 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