Grade muse-glimmer-28b full 7-prompt battery — new benchmark leader
7 entries (30→37 total). Muse Glimmer 28B (GGUF) avg 80.7 — the strongest model in the benchmark, 6/7 prompts Minor Logic Flaws: lfu 76 | webhook 81 | automation 89 | rust 85 | data 88 | tts 58 | mcp 88 Standout results: - rust 85 (KAT 36, Qwen3-Coder 54) — real tokio channels (mpsc::channel, not hallucinated mpsc::bounded), two-tier CancellationToken, zero clippy lints; one-line E0507 compile fix. - automation 89 — first model to print a correct summary (98/2/0/100); atomic temp+fsync+rename checkpointing. - data 88 edges out Gemma-26B's 86; mcp 88 sets the bar on a new prompt. Only weak spot: tts 58 (backpressure raises instead of awaits, like Qwen3-Coder). Captured via the native /api/v1/chat fix (real tok/sec + TTFT). Slow deep-thinker: ~17-19 t/s, 5-9 min/prompt, ~5-9k tokens incl. reasoning. Also gitignore checkpoint.json (automation test runtime artifact). Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -21,3 +21,5 @@ __pycache__/
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# --- Webhook secret (NEVER commit) ---
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.webhook.secret
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# automation prompt test artifact (runtime-generated)
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checkpoint.json
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