[WIP] Qwen2.5 7B on-device code docstrings generation for macOS Silicon

[martysai]

Summary

Enabling multiple Qwen Coder models.

Changes

• Model Configuration Registry (src/training/models.py)

  • SamplingConfig and ModelConfig dataclasses
  • Pre-configured support for Qwen 2.5 Coder (7B, 14B, 32B) and Qwen3 Coder 30B-A3B (MoE)
  • Model-specific sampling parameters (Qwen3 uses temp=1.0, top_p=0.95)

• API Enhancements (src/training/serve.py)

  • Per-request model selection via model parameter
  • New /models endpoint to list available configurations
  • Health endpoint now reports active model info
  • Model-specific keep_alive settings (300s for MoE models)

• CLI Improvements (scripts/run_ollama.py)

  • --model-key for registry-based model selection
  • --list-models to display available models
  • Model-specific sampling parameters in requests

• Cross-Platform Support

  • .gitattributes for consistent line endings
  • Windows PowerShell/CMD examples in documentation

Available Models

Model Key	Architecture	Memory (Q4)	Context
qwen2.5-coder-32b	Dense	~18GB	32K
qwen2.5-coder-14b	Dense	~8GB	32K
qwen2.5-coder-7b	Dense	~4GB	32K
qwen3-coder-30b	MoE (3.3B active)	~18GB	256K

Test plan

• 20 new tests for models module
• 10 new tests for model selection in serve
• All 48 tests passing
• Manual testing with Ollama

🤖 Generated with Claude Code

[codecov-commenter]

Codecov Report

❌ Patch coverage is 97.47899% with 3 lines in your changes missing coverage. Please review.
⚠️ Please upload report for BASE (master@9302246). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
src/training/serve.py	96.55%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff            @@
##             master       #8   +/-   ##
=========================================
  Coverage          ?   27.44%           
=========================================
  Files             ?       12           
  Lines             ?      430           
  Branches          ?        0           
=========================================
  Hits              ?      118           
  Misses            ?      312           
  Partials          ?        0           

Flag	Coverage Δ
unittests	27.44% <97.47%> (?)

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
src/training/models.py	100.00% <100.00%> (ø)
src/training/serve.py	95.55% <96.55%> (ø)

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.