Remove plan.md from git tracking

Local-only document, should never have been committed.
Already in .gitignore.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

plan.md

@@ -1,137 +0,0 @@
-# Soup — Roadmap
-
-**Repo:** https://github.com/MakazhanAlpamys/Soup
-**PyPI:** https://pypi.org/project/soup-cli/ (`pip install soup-cli`)
-**Version:** v0.10.5 | 643 tests | CI green
-
-### How to publish
-
-```bash
-# 1. Bump version in pyproject.toml + soup_cli/__init__.py
-# 2. Tag and push
-git tag v0.X.0
-git push --tags
-# GitHub Actions auto-publishes to PyPI
-```
-
----
-
-## Completed (v0.0.1 – v0.10.5)
-
-- **CLI:** init, train, chat, push, merge, export, eval, serve, sweep, diff, doctor, quickstart, ui, version
-- **Data:** inspect, validate, convert, merge, dedup, stats, generate
-- **Training:** SFT, DPO, GRPO, PPO/RLHF, Reward Model, LoRA/QLoRA, QAT, auto batch size, resume, DeepSpeed, W&B, Unsloth backend
-- **Multimodal:** `modality: vision`, LLaVA/ShareGPT4V, LLaMA-Vision/Qwen2-VL/Pixtral
-- **Serving:** OpenAI-compatible API, transformers + vLLM backends, SSE streaming, tensor parallelism
-- **Tracking:** SQLite experiment tracker, runs list/show/compare/delete
-- **Export:** GGUF (Ollama/llama.cpp), LoRA merge
-- **Web UI:** Dashboard, New Training, Data Explorer, Model Chat (FastAPI + SPA)
-- **UX:** friendly errors, --verbose, Rich progress bars, confirmation prompts
-- **Community:** CONTRIBUTING.md, CODE_OF_CONDUCT.md, SECURITY.md, examples/, FUNDING.yml
-- **Tests:** 624 tests, 41 files, ruff lint, CI on Python 3.9/3.11/3.12
-- **v0.10.1 bugfixes:** Windows UnicodeEncodeError, PPO trl compat, compute dtype for CPU, diff torch_dtype, wandb version pin
-- **v0.10.2 bugfixes:** ASCII progress bar, plotext fallback, auto-disable 4bit on CPU, friendly CPU error messages, torchvision compat check in doctor
-- **v0.10.3-v0.10.4 bugfixes:** PPO use_cpu for CPU training, PPO trl >=0.28 API compat (args= vs config=, builtin .train()), GRPO CPU warning + use_cpu, use_cpu error message
-- **v0.10.5 bugfix:** PPO dataset parameter compat for trl >=0.28 (dataset= no longer accepted in PPOTrainer constructor)
-
----
-
-## Roadmap
-
-### v0.11.0 — Alignment methods
-
-- [ ] KTO (`task: kto`) — unpaired preference data, wraps trl.KTOTrainer
-- [ ] ORPO (`task: orpo`) — no reference model needed, wraps trl.ORPOTrainer
-- [ ] SimPO (`task: simpo`) — simple preference optimization
-- [ ] IPO (`task: ipo`) — identity preference optimization
-- [ ] Templates: `soup init --template kto`, `--template orpo`
-
-### v0.12.0 — Advanced PEFT
-
-- [ ] DoRA (`use_dora: true`) — magnitude decomposition, already in PEFT
-- [ ] LoRA+ (`loraplus_lr_ratio`) — different lr for A and B matrices
-- [ ] GaLore — memory-efficient full-parameter training on consumer GPUs
-
-### v0.13.0 — Batch inference + TensorBoard
-
-- [ ] `soup infer --input prompts.jsonl --output results.jsonl` — batch inference (reuse diff.py code)
-- [ ] `--tensorboard` flag in train — `report_to="tensorboard"`, HF Trainer handles it
-- [ ] Supported models page in README (Llama 4, Gemma 3, Qwen 2.5/3, Phi-4, DeepSeek R1/V3)
-
-### v0.14.0 — Pre-training + MoE
-
-- [ ] `task: pretrain` — continued pre-training on raw text
-- [ ] Plain text / tokenized datasets support
-- [ ] MoE model support (Qwen3 30B-A3B, Mixtral, DeepSeek V3)
-- [ ] ScatterMoE LoRA
-
-### v0.15.0 — Performance + Long-context
-
-- [ ] Liger Kernel integration (fused operations)
-- [ ] FlashAttention-3/4 auto-detection
-- [ ] FSDP2 support alongside DeepSpeed
-- [ ] Sequence parallelism via Ring FlashAttention
-- [ ] 128k+ context fine-tuning
-
-### v0.16.0 — Embedding models + Export
-
-- [ ] `task: embedding` — sentence transformers, BGE, E5
-- [ ] Contrastive loss, triplet loss
-- [ ] ONNX export (`soup export --format onnx`)
-- [ ] TensorRT-LLM export
-- [ ] Speculative decoding (`soup serve --speculative-decoding`)
-
-### v0.17.0 — Data + Audio
-
-- [ ] Local model as data generation provider
-- [ ] Quality filters (perplexity, coherence scoring)
-- [ ] `modality: audio` — Qwen2-Audio, Whisper fine-tuning
-- [ ] SGLang backend for serving
-
-### v0.18.0 — Cloud GPU (monetization)
-
-Last step — all features are built, product is ready to sell.
-
-- [ ] `soup login` — user registration, Stripe card linking
-- [ ] `soup cloud run --config soup.yaml --gpu a100` — cloud training
-- [ ] Backend API (FastAPI on VPS) — pod management, billing
-- [ ] RunPod API integration (our account, 20-30% markup)
-- [ ] `soup cloud status` — usage, balance, history
-- [ ] Landing page soup.cloud
-- [ ] Cost estimator and budget auto-stop
-- [ ] Vast.ai, Lambda Labs, Modal — additional providers
-
----
-
-## Principles
-
-1. **CLI-first** — everything works from the terminal; UI is a bonus
-2. **Zero config by default** — `soup train` with a minimal config just works
-3. **Fail fast, fail loud** — bad data or missing GPU = immediate, clear error
-4. **Open source core** — CLI is always free; monetize via managed service
-5. **Test-driven** — every feature has tests, written alongside the code
-
----
-
-## Competitive positioning
-
-| Feature | Soup | LLaMA-Factory | Axolotl | Unsloth |
-|---|---|---|---|---|
-| One-command training | **Yes** | Partial | No | Notebook |
-| Web UI | **Yes** | Yes | No | No |
-| Experiment tracking | **Built-in SQLite** | W&B only | W&B only | No |
-| Hyperparam sweep | **Yes + early-stop** | No | No | No |
-| Data toolkit (7 tools) | **Yes** | Basic | No | No |
-| Model diff | **Yes** | No | No | No |
-| GGUF export | **Yes** | Yes | No | Yes |
-| GRPO + custom rewards | **Yes** | Yes | Yes | Yes |
-| Full RLHF pipeline | **Yes** | Yes | Yes | No |
-| Cloud GPU | No | SageMaker | RunPod templates | No |
-| MoE training | No | Yes | Yes | **12x faster** |
-| DoRA/GaLore | No | Yes | Yes | Partial |
-| KTO/ORPO/SimPO | No | Yes | Yes | No |
-| Pre-training | No | Yes | Yes | Yes |
-| 100+ model day-0 | No | **Yes** | Partial | Yes |
-
-**Soup's edge:** best UX, most integrated toolkit, lowest barrier to entry.
-**Gap to close:** cloud, advanced PEFT, more alignment methods, model breadth.