3916633f4d
test: validate MLX inference and scoring pipeline on M3 Ultra
...
Fixes #2
- Run complete test suite: all 84 tests passing (100%)
- Verify Metal 4 GPU support and hardware capabilities
- Test scoring pipeline (heuristic + judge + engine)
- Confirm GGUF model directory with 9 models (40.43 GB)
- Document MLX backend build requirements
- Update module imports from forge.lthn.ai/core/go to forge.lthn.ai/core/cli
- Add comprehensive TEST-RESULTS.md with findings
Platform: M3 Ultra (60 GPU cores, 96GB RAM, Metal 4)
Results: All tests passing, scoring pipeline operational, MLX ready to build
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-16 17:24:36 +00:00
Claude
e84d6ad3c9
feat: extract AI/ML packages from core/go
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LEM scoring pipeline, native MLX Metal bindings, Claude SDK wrapper,
RAG with Qdrant/Ollama, unified AI facade, and MCP protocol server.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 15:25:55 +00:00
