jpmschweitzerandClaude Opus 4.6 427ad311dc feat: switch default Ollama model to gemma4:e2b ...

gemma4:e2b has native function calling with dedicated tool tokens,
achieving 100% tool selection accuracy in benchmarks vs 67% for
mistral-nemo-large, with 5-8x faster response times (2-4s vs 15-20s)
and lower VRAM usage (8GB vs 9.2GB).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-04-04 22:44:27 +02:00

..

benchmark_analysis.py

feat: implement Phase 2 two-tier architecture with Steward

2025-12-07 15:39:20 +01:00

benchmark_steward.py

feat: implement Phase 2 two-tier architecture with Steward

2025-12-07 15:39:20 +01:00

benchmark_tool_calling.py

feat: switch default Ollama model to gemma4:e2b

2026-04-04 22:44:27 +02:00

test_housekeeper.sh

feat: optimize Housekeeper for Mistral-Nemo tool calling

2025-12-18 20:58:39 +01:00

test_steward_simple.py

feat: implement Phase 2 two-tier architecture with Steward

2025-12-07 15:39:20 +01:00