A stdlib pre-router in front of Ollama with LiteLLM backend: - auto model selection by content/tools/modality, with fallbacks - OpenAI /v1, Anthropic /v1/messages, and Ollama-native /api/* endpoints - Whisper-shaped /v1/audio/transcriptions + in-chat audio - key-based fleet policies (e.g. force a client onto uncensored models) - optional Bearer auth; launchd/systemd service install - benchmark harnesses (speed, quality, agentic tool use) with sample results Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
21 lines
1.2 KiB
Markdown
21 lines
1.2 KiB
Markdown
# Quality benchmark — 2026-07-03 18:15
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Objective auto-grading. code=executed unit tests, math=GSM8K-style exact, mc=multiple-choice, ifollow=programmatic checks, ocr=multi-image text.
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| Model | Overall | Code | Math | MC | Instr | OCR | tok/s |
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|---|--:|--:|--:|--:|--:|--:|--:|
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| `gemma4:31b` | **100%** | 100 | 100 | 100 | 100 | 100 | 16.6 |
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| `gemma4:26b` | **100%** | 100 | 100 | 100 | 100 | 100 | 71.6 |
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| `qwen3.6:27b` | **96%** | 100 | 100 | 83 | 100 | — | 18.3 |
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| `gemma4:e4b` | **96%** | 100 | 100 | 83 | 100 | 100 | 66.9 |
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| `qwen3-vl:30b-a3b-instruct` | **92%** | 100 | 100 | 100 | 67 | 100 | 86.1 |
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| `qwen3:14b` | **92%** | 100 | 100 | 100 | 67 | — | 36.2 |
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| `gemma4:e2b` | **92%** | 100 | 100 | 67 | 100 | 100 | 101.3 |
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| `qwen3.6:35b-a3b` | **91%** | 100 | 80 | 83 | 100 | — | 74.5 |
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| `qwen3-coder:30b` | **88%** | 100 | 100 | 83 | 67 | — | 85.5 |
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| `qwen3:8b` | **88%** | 100 | 100 | 83 | 67 | — | 59.9 |
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| `gemma4:12b` | **87%** | 100 | 80 | 67 | 100 | 100 | 36.3 |
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| `glm-4.7-flash:latest` | **83%** | 100 | 100 | 67 | 67 | — | 65.6 |
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| `gpt-oss:20b` | **62%** | 100 | 80 | 0 | 67 | — | 70.9 |
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| `qwen3-vl:8b` | **22%** | 33 | 20 | 0 | 33 | 100 | 58.1 |
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