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Commit History
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fix: Sage timeout — gunicorn 300s, max_tokens 150, ZeroGPU pattern, correct torch_dtype
Charan Suresh- Procfile + render.yaml: gunicorn --timeout 120 → 300 - knowledge/main.py: /api/sage passes max_tokens=150 - knowledge/ollama_client.py: chat() accepts max_tokens kwarg - hf_space/inference.py: full ZeroGPU rewrite (Gemma4Processor, bfloat16, no device_map, CUDA log) - hf_space/requirements.txt: transformers>=5.0.0, torch>=2.4.0, hub>=1.3.0 - hf_space/README.md: hardware: zero-gpuab04b85
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Switch to HF Space as default backend, make Ollama optional
e1b76ea
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Replace cloud inference with local Ollama
4c42b27
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feat: add anti-gaming comprehension pipeline and harden HF space integration
b3edcc3
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Fix HF Space backend contract and production health diagnostics
0dc30d2 -
Update app defaults and database to use US Curriculum Guide, fix HF requirements
1b03d62