CGo wrapper for mlx-c providing zero-Python Metal GPU inference.
Includes Gemma 3 model architecture, BPE tokenizer, KV cache,
composable sampling, and OpenAI-compatible serve command.
Build-tagged (darwin && arm64 && mlx) with stubs for cross-platform.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Port LEM scoring/training pipeline into CoreGo as pkg/ml with:
- Inference abstraction with HTTP, llama-server, and Ollama backends
- 3-tier scoring engine (heuristic, exact, LLM judge)
- Capability and content probes for model evaluation
- GGUF/safetensors format converters, MLX to PEFT adapter conversion
- DuckDB integration for training data pipeline
- InfluxDB metrics for lab dashboard
- Training data export (JSONL + Parquet)
- Expansion generation pipeline with distributed workers
- 10 CLI commands under 'core ml' (score, probe, export, expand, status, gguf, convert, agent, worker)
- 5 MCP tools (ml_generate, ml_score, ml_probe, ml_status, ml_backends)
All 37 ML tests passing. Binary builds at 138MB with all commands.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
