docs: add v1.8.11 release notes

Release notes for WhisperJAV v1.8.11, modeled on the v1.8.10 GitHub
release body for consistency with recent releases. Content summary:

- Subtitle Sanitization: single-line mention of Japanese SRT sanitizer
  hardening (#287). Developer-level detail (root cause regex slice
  syntax, symbol-only residue drop, CPS newline handling, SDH patterns)
  is intentionally omitted per user feedback — users are not developers.

- Ollama: curated model list update replacing a chain-of-thought model
  that broke translation format, and new --ollama-max-tokens flag for
  output-length tuning (#271).

- Colab: --provider local translation fix — missing [llm] extra in
  install_colab.sh was causing ModuleNotFoundError starlette_context
  on startup (#291).

- Known Issue: Windows standalone installer does not add its bundled
  Library\bin (with ffmpeg 7.1) to the user PATH, so a third-party
  ffmpeg on PATH (e.g. 8.x) may be resolved instead of the bundled
  build when subprocesses run outside the GUI launcher. Workaround
  and planned v1.8.12 fix are documented.

- Compatibility table, What's Next section, and install instructions
  for Windows .exe / macOS / Linux / Windows source mirror the v1.8.10
  structure so existing users follow a familiar upgrade path.

Saved to installer/RELEASE_NOTES_v*.md following the convention used
for v1.8.7 through v1.8.10.post3.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

Author: meizhong986

installer/RELEASE_NOTES_v1.8.11.md

@@ -0,0 +1,141 @@
+**Sanitizer hardening + small fixes**
+The Japanese SRT sanitizer is more robust. Two smaller issues with Colab
+install and Ollama translation are also fixed.
+
+---
+
+
+Subtitle Sanitization
+
+- Hardening of the Japanese SRT sanitization. (#287)
+
+
+Ollama
+
+- **Curated model list + output length control** — one model in the
+  curated list emitted chain-of-thought text that broke the translation
+  format; replaced with an instruct-tuned equivalent. Also added
+  `--ollama-max-tokens` so output length can be tuned for setups that
+  need a different default. (#271)
+
+
+Colab
+
+- **`--provider local` translation on Colab** — the `[llm]` extra was
+  missing from `install_colab.sh`, causing
+  `ModuleNotFoundError: starlette_context` when starting local LLM
+  translation. The extra is now installed. (#291)
+
+---
+
+### How to Upgrade or Install
+
+**Upgrade from 1.8.10:**
+
+```
+pip install -U --no-deps "whisperjav @ git+https://github.com/meizhong986/whisperjav.git@v1.8.11"
+```
+
+**Fresh Install:**
+
+### Windows — Standalone Installer (.exe)
+
+
+1. Download **WhisperJAV-1.8.11-Windows-x86_64.exe** from the Assets below
+2. Run the installer (no admin rights required)
+3. Wait 10-20 minutes for setup to complete
+4. Launch from the Desktop shortcut
+
+Installs to `%LOCALAPPDATA%\WhisperJAV`. A desktop shortcut is created automatically. Your GPU is detected automatically.
+
+### macOS
+
+Requires [Git](https://git-scm.com/downloads). The install script checks for everything else (Xcode CLI Tools, Python, FFmpeg, PortAudio) and tells you exactly what to install if anything is missing. Open Terminal and run:
+
+```bash
+cd ~
+git clone https://github.com/meizhong986/whisperjav.git
+cd whisperjav
+git checkout v1.8.11
+installer/install_mac.sh
+```
+
+After installation, open the `whisperjav` folder in Finder and double-click **WhisperJAV.command** to launch the GUI.
+
+### Linux
+
+Requires Git and Python 3.10-3.12. The install script handles PEP 668 (externally-managed) environments on Debian 12+ / Ubuntu 24.04+. Open a terminal and run:
+
+```bash
+cd ~
+git clone https://github.com/meizhong986/whisperjav.git
+cd whisperjav
+git checkout v1.8.11
+installer/install_linux.sh
+```
+
+After installation, launch the GUI with `./WhisperJAV.sh`.
+
+### Windows — Source Install
+
+Requires [Git](https://git-scm.com/downloads) and [Python 3.10-3.12](https://www.python.org/downloads/). Open a terminal and run:
+
+```
+cd %USERPROFILE%
+git clone https://github.com/meizhong986/whisperjav.git
+cd whisperjav
+git checkout v1.8.11
+installer\install_windows.bat
+```
+
+After installation, double-click **WhisperJAV.bat** to launch the GUI.
+
+
+
+
+## Compatibility
+
+Same as v1.8.10 — no dependency changes.
+
+| Component | Supported Versions |
+|-----------|-------------------|
+| Python | 3.10, 3.11, 3.12 |
+| PyTorch | 2.4.0 - 2.10.x |
+| CUDA | 11.8+ (12.4+ recommended) |
+| Ollama | 0.3.0+ recommended |
+
+## Known Issues
+
+- **Windows standalone installer does not add its bundled tools to user PATH.**
+  WhisperJAV ships its own ffmpeg 7.1 (pinned `>=6,<8`) inside the install
+  directory's `Library\bin`, but the installer does not persistently add
+  that folder to the user's PATH. If you have a separate ffmpeg on your
+  PATH — especially ffmpeg 8.x — WhisperJAV subprocesses that run outside
+  the GUI launcher may resolve to that other ffmpeg instead of the bundled
+  one. Behavior can be unexpected if the third-party ffmpeg has different
+  default flags or filter names. Workaround: launch via the Desktop
+  shortcut (which activates the environment) or manually add
+  `<install-dir>\Library\bin` to your user PATH. A proper fix is planned
+  for v1.8.12.
+
+- **Apple Silicon MPS + whisper-large-v3-turbo** — produces garbage output
+  on MPS for this specific model. Use `--hf-device cpu` or the default
+  kotoba model. (#198, #227)
+
+- **Ollama download progress** — the download progress bar in the popup is
+  indeterminate (pulsing). Real progress is shown in the terminal. A hint
+  in the popup directs you to check there.
+
+## What's Next
+
+**v1.8.12** — installer PATH fix (above), a ZipEnhancer Colab init bug
+(#290), Qwen3-ASR `transformers` version pin (#280), and verification of
+the Colab fix in this release.
+
+**v1.9.0** — full Ollama migration (remove llama-cpp-python), standalone
+subtitle merge CLI (#230), Chinese GUI partial i18n (#175, #180), speaker
+diarization (#248, #252).
+
+---
+
+Thanks to everyone who reported issues and tested on their own material.