docs: replace em-dashes with hyphens in model card

README.md

@@ -15,11 +15,11 @@ language:
 pipeline_tag: text-generation
 ---
 
-# Knot AI — Commit Message Model
+# Knot AI - Commit Message Model
 
 **A task-specific model that reads a code diff and writes the commit message.**
 Fine-tuned from [`Qwen/Qwen2.5-Coder-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct).
-Runs **100% locally** — no API, no data leaves your machine. It powers hands-free
+Runs **100% locally** - no API, no data leaves your machine. It powers hands-free
 auto-commit in [**Knot**](https://pointbreaklab.com/knot), a peer-to-peer version
 control system by PointBreakLab.
 
@@ -33,7 +33,7 @@ control system by PointBreakLab.
 
 Knot AI does **one** thing well: turn a diff into a clear, correctly-typed
 Conventional-Commit message. It is **not** a chat assistant or a general coding
-model — feed it a diff, get a message. That focus is the point: a small, private,
+model - feed it a diff, get a message. That focus is the point: a small, private,
 *owned* specialist you run on your own hardware.
 
 ## How it works
@@ -46,8 +46,7 @@ model — feed it a diff, get a message. That focus is the point: a small, priva
 
 - **Method:** QLoRA (4-bit), completion-only supervised fine-tuning (loss on the
   commit message only), 2 epochs, ~6h on a single **NVIDIA RTX 3060 (12 GB)**.
-- **Data:** 3,227 examples mined from real histories of permissively-licensed OSS —
-  **JavaScript/TypeScript** (vite, vitest, nx, pnpm, rollup, angular, changesets,
+- **Data:** 3,227 examples mined from real histories of permissively-licensed OSS -   **JavaScript/TypeScript** (vite, vitest, nx, pnpm, rollup, angular, changesets,
   husky, vitepress), **Python** (poetry, pydantic), **Rust** (starship, tauri),
   and **Go** (goreleaser). Type-balanced (fix 27% / feat 19% / refactor 11% /
   chore 8% / …).
@@ -68,11 +67,10 @@ Python/Rust/Go diversity.
 | Generation errors | 6 | **0** |
 
 **Cross-language generalization:** on a separate held-out set of **60 Python/Rust/Go
-commits** (languages this version added), Knot AI holds **56.7% type accuracy** —
-matching its JS/TS score, evidence the diversity generalized rather than
+commits** (languages this version added), Knot AI holds **56.7% type accuracy** - matching its JS/TS score, evidence the diversity generalized rather than
 memorized.
 
-> Note: these are *single-reference* metrics — they compare to one human label,
+> Note: these are *single-reference* metrics - they compare to one human label,
 > though a commit has many valid messages and a change can honestly be `fix` *or*
 > `refactor`. So the scores understate real usefulness; sample outputs below are
 > representative.
@@ -108,14 +106,14 @@ Coming with the Ollama release: `ollama run pointbreaklab/knot-ai`
 
 ## Limitations
 
-- Pattern completion over ~3k examples — it will miss on unusual diffs, and ~57%
+- Pattern completion over ~3k examples - it will miss on unusual diffs, and ~57%
   type accuracy means it is wrong sometimes.
 - Binary-only changes (images, PDFs) have no textual diff to read.
 - English commit conventions; not a general assistant.
 
 ## Roadmap
 
-This is **v1** (built on Knot AI's v4 adapter). A **v5** is planned — a larger,
+This is **v1** (built on Knot AI's v4 adapter). A **v5** is planned - a larger,
 higher-quality corpus for better accuracy and closer matching. Knot AI improves
 in the open.