6 Commits

Author	SHA1	Message	Date
Salil	57041cb3c1	add --json flag to version command for machine-readable output in CI/… (#6) ... * add --json flag to version command for machine-readable output in CI/scripts and include tests * docs: update README with soup version --json flag examples	2026-04-04 20:42:46 +05:00
Alpamys	83e44a5dd0	Add soup version --full, bump to v0.3.2 ... - `soup version --full` shows version, Python, GPU backend, installed extras - Dynamic test count badge via Gist endpoint in CI - README: Optional Extras table, --verbose note, CSV/Parquet, Changelog link - 323 tests passing Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-05 19:46:16 +05:00
Alpamys	7a7e289dcb	Fix test_version to use dynamic version instead of hardcoded string ... Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-04 00:40:14 +05:00
Alpamys	f03b578428	Phase 2.5: add export GGUF, merge LoRA, resume training, W&B integration (v0.2.0) ... New commands: - soup export --model ./output --format gguf --quant q4_k_m - soup merge --adapter ./output New train flags: - soup train --resume auto (or --resume ./checkpoint-500) - soup train --wandb 184 tests passing (was 147), all lint clean. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-03 22:29:44 +05:00
Alpamys	a2a0f2cab3	Phase 1.5: add soup chat, soup push, DPO trainer + smoke tests ... - soup chat --model ./path: interactive terminal chat with LoRA adapters (auto-detects base model, supports /quit /clear /system commands) - soup push --model ./path --repo user/model: upload to HuggingFace Hub (auto model card generation, token from env/cache/flag) - DPO trainer: full DPOTrainerWrapper with LoRA + quantization support (configurable dpo_beta, preference data format {prompt, chosen, rejected}) - Smoke tests: real SFT + DPO training with tiny-gpt2 (pytest -m smoke) - SFT trainer: fallback for models without chat_template - Updated README, schema, formats, pyproject.toml, .gitignore Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-23 21:18:19 +05:00
Alpamys	d6e932a1d3	Initial project setup: CLI skeleton + config + trainer + data pipeline ... - Typer CLI: soup init, soup train, soup data inspect/validate - Pydantic config schema with YAML loader and validation - Data pipeline: JSONL/JSON/CSV/Parquet + HuggingFace datasets - Format detection: Alpaca, ShareGPT, ChatML (auto-detect) - SFT trainer wrapper over transformers + peft + trl - QLoRA/LoRA support with auto batch size estimation - GPU detection (CUDA/MPS/CPU) and memory calculation - Rich live terminal dashboard for training monitoring - Config templates: chat, code, medical - Tests (pytest) + GitHub Actions CI - MIT license Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-20 16:14:56 +05:00