CoolFace
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meshllm/performance-history

MeshLLM Performance History Append-only, machine-readable results from MeshLLM's trusted nightly competitive benchmark. Each immutable run shard contains one normalized row per backend, model, concurrency, hardware/config cohort, and source revision. The dataset contains performance metrics and content-addressed provenance only. It does not contain prompts, completions, model weights, credentials, local filesystem paths, or raw benchmark logs. GitHub Actions retains the… See the full description on the dataset page: https://huggingface.co/datasets/meshllm/performance-history.

sourceHugging Faceapache-2.0updated 24d agoView on Hugging Face
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MeshLLM Performance History

Append-only, machine-readable results from MeshLLM's trusted nightly competitive benchmark. Each immutable run shard contains one normalized row per backend, model, concurrency, hardware/config cohort, and source revision.

The dataset contains performance metrics and content-addressed provenance only. It does not contain prompts, completions, model weights, credentials, local filesystem paths, or raw benchmark logs. GitHub Actions retains the corresponding raw evidence separately.

The schema is versioned in schema.json. Dataset Viewer converts the JSONL shards to Parquet for SQL and charting. Regression reports compare only exact cohort keys and require at least three prior complete runs before classifying throughput or TTFT drift.