- ASCII progress bar in display.py (replace Unicode blocks with #/-)
- Catch UnicodeEncodeError from plotext in data stats (Windows fallback)
- Auto-disable 4bit/8bit quantization on CPU (bitsandbytes doesn't support it)
- Friendly error messages for CPU tensor/dtype/bf16/torchvision issues
- Fix diff.py: torch_dtype= -> dtype= (deprecation warning)
- Add torchvision version compatibility check to soup doctor
7 new tests (631 total), ruff clean.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- BUG-001: Replace Unicode arrows/dashes with ASCII in all console output
to fix UnicodeEncodeError on Windows cp1252 (~10 commands affected)
- BUG-002: PPO trainer uses inspect.signature to detect trl parameter names
(ppo_epochs vs num_ppo_epochs) for trl 0.28.0 compatibility
- BUG-003: Add get_compute_dtype() - uses float32 on CPU, bfloat16/float16
on CUDA. Fixes dtype mismatch in reward model and all trainers
- BUG-004: Add warning when using quantization on CPU
- BUG-005: Fix dtype -> torch_dtype in diff.py model loading
- BUG-006: Pin wandb<0.18.0 to avoid trl import conflict, add runtime guard
13 new tests (624 total), ruff clean.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add --backend vllm flag to soup serve for 2-4x better inference throughput
- Add --tensor-parallel and --gpu-memory flags for vLLM tuning
- Auto-detect vLLM and show hint when installed but not enabled
- New utils/vllm.py with engine creation, app factory, LoRA support
- Native token-by-token streaming via vLLM AsyncLLMEngine
- Add serve-fast extra: pip install 'soup-cli[serve-fast]'
- Add vllm detection to version --full
- 30 new tests (560 total), ruff clean
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- `soup ui` command launches local web interface at http://127.0.0.1:7860
- FastAPI backend with REST API: runs, metrics, config validation, training
control, data inspection, templates, system info
- Self-contained SPA frontend (Dashboard, New Training, Data Explorer,
Model Chat) with Chart.js loss/LR charts
- Auto-opens browser on launch (--no-browser to disable)
- Config validation via new load_config_from_string() in config/loader.py
- 40 new tests (530 total), ruff clean
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add `modality: vision` config option for vision-language model training
- Add LLaVA and ShareGPT4V data format detection and conversion
- Add `image_dir` field in DataConfig for resolving image paths
- Add vision model loading via AutoModelForVision2Seq + AutoProcessor in SFT trainer
- Add `soup init --template vision` with LLaMA-3.2-Vision config
- Add image statistics display in `soup data inspect` for vision datasets
- Add Pillow as optional `vision` extra dependency
- Add Pillow to `soup doctor` dependency checks
- 51 new tests (455 total), ruff clean
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add --early-stop flag to soup sweep: skip remaining runs when loss exceeds best by threshold
- Add Rich progress bars for HuggingFace Hub model downloads in SFT/DPO trainers
- Pin click>=8.2.0 to fix typer compatibility (11 tests were failing)
- Bump version 0.3.2 → 0.4.0
- 329 tests passing, lint clean
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- `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>
Rich markup splits --verbose with escape codes on CI, check for
"verbose" instead of "--verbose".
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Friendly error messages: wrap all commands in try/except, map known errors
(CUDA OOM, missing deps, connection errors) to 2-3 line messages with fix hints
- Global --verbose flag for full tracebacks
- soup doctor: check system info, GPU, all dependency versions with fix suggestions
- soup quickstart: one-command demo (creates data + config + trains TinyLlama)
- Confirmation prompts before train/sweep (skip with --yes)
- 40 new tests (321 total), all passing
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- soup serve: FastAPI inference server with OpenAI-compatible API, SSE streaming
- soup data generate: synthetic data generation via OpenAI API or local models
- soup sweep: grid/random hyperparameter search with experiment tracker integration
- soup diff: side-by-side model comparison with metrics
- Multi-GPU/DeepSpeed: ZeRO Stage 2/3 configs, --deepspeed flag in train command
- 95 new tests (281 total), all passing
- Removed TESTING_GUIDE.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rich markup splits --resume/--wandb with escape codes in CI (Python 3.9).
Use case-insensitive substring match instead of exact flag match.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The 4 hex char suffix (65536 possibilities) caused a collision when
generating 100 IDs within the same second on fast CI runners.
Increased to 8 hex chars (4 billion possibilities).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix 23 ruff errors: line too long, unused imports, ambiguous vars
- Fix validator: empty string is valid data, only count None as empty
- Remove unused imports in display.py and validator.py
- Rename ambiguous `l` vars to `part`, `entry`, `length`
- Break long lines in callback.py, display.py, sft.py, constants.py
All 20 tests passing, ruff clean.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
Alpamys