Update README for v2.0 — 135.5/140 (96.8%)

README.md

@@ -3,6 +3,7 @@ license: other
 license_name: neotoi-coder-community-license
 language:
 - en
+- vi
 base_model: Qwen/Qwen3-Coder-14B
 tags:
 - dioxus
@@ -16,38 +17,73 @@ tags:
 pipeline_tag: text-generation
 ---
 
-# Neotoi Coder v1
+# Neotoi Coder v2.0
 
 A Rust/Dioxus 0.7 specialist fine-tuned from Qwen3-Coder-14B using RAFT
 (Retrieval-Augmented Fine-Tuning). Optimized for production-quality
-Dioxus 0.7 components with Tailwind v4 and WCAG 2.2 AAA accessibility.
+Dioxus 0.7 components with Tailwind v4, WCAG 2.2 AAA accessibility,
+GlobalSignal state management, i18n, dark mode, and static content navigation.
+
+## What's New in v2.0
+
+Significant improvements over v1.0 across every tier:
+
+- **New Tier 8 — GlobalSignal & i18n:** Correct `.write()` vs `.set()` semantics,
+  pre-rsx! i18n bindings, dark mode via `document::eval`, sticky nav with `use_hook`
+- **New Tier 9 — Static Content Navigator:** `use_memo` filtering, tag-based
+  routing, deterministic LLM intent mapping over static content
+- **New Tier 10 — Dioxus 0.7.4 APIs:** `WritableResultExt`, `use_context` panic
+  behavior, WebSocket Stream+Sink, `consume_context` vs `use_context`
+- **T6 Hard Reasoning:** Went from 2/5 passes to 10/10 — full perfect score
+- **T4 WCAG/ARIA:** Perfect 14/14 — tooltip always in DOM, listbox/option
+  nesting, aria_labelledby on all role containers
+- **T5 use_resource:** Perfect 8/8 — three-arm match, no .ok() wrapper,
+  signal read inside closure
+- **MLX format included** for Apple Silicon (Ollama 0.19+, mlx_lm)
 
 ## Exam Results
 
-| Tier | Score | Required | Status |
+### v2.0 — 100 Question Weighted Exam
+
+| Tier | Questions | Weight | Score | Max | Status |
+|---|---|---|---|---|---|
+| T1 Fundamentals | Q1–12 | 1.0 | 11/12 | 12 | ✅ |
+| T2 RSX Syntax | Q13–24 | 1.0 | 10/12 | 12 | ✅ |
+| T3 Signal Hygiene | Q25–36 | 1.0 | 12/12 | 12 | ✅ Perfect |
+| T4 WCAG/ARIA | Q37–50 | 1.5 | 14/14 | 21 | ✅ Perfect |
+| T5 use_resource | Q51–58 | 1.5 | 8/8 | 12 | ✅ Perfect |
+| T6 Hard Reasoning | Q59–68 | 2.0 | 10/10 | 20 | ✅ Perfect |
+| T7 Primitives+CSS | Q69–80 | 1.5 | 11/12 | 18 | ✅ |
+| T8 GlobalSignal/i18n | Q81–88 | 1.5 | 8/8 | 12 | ✅ Perfect |
+| T9 Static Navigator | Q89–94 | 1.5 | 6/6 | 9 | ✅ Perfect |
+| T10 Dioxus 0.7.4 | Q95–100 | 2.0 | 6/6 | 12 | ✅ Perfect |
+| **Overall** | **Q1–100** | | **135.5/140** | **140** | **✅ 96.8%** |
+
+### Version History
+
+| Version | Score | Exam | Status |
 |---|---|---|---|
-| T1 Fundamentals | 9/10 | 9/10 | ✅ |
-| T2 RSX Syntax | 9/10 | 8/10 | ✅ |
-| T3 Signal Hygiene | 10/10 | 8/10 | ✅ |
-| T4 WCAG/ARIA | 9/10 | 7/10 | ✅ |
-| T5 use_resource | 4/5 | 4/5 | ✅ |
-| T6 Hard Reasoning | 2/5 | 2/5 | ✅ |
-| T7 Primitives+CSS | 8/10 | 6/10 | ✅ |
-| **Overall** | **51/60** | **50/60** | **✅ PASS** |
+| v1.0 | 51/60 (85%) | 60Q standard | Published |
+| v2.0 | 135.5/140 (96.8%) | 100Q weighted | Published |
 
 ## Model Details
 
 - **Base model:** Qwen3-Coder-14B
 - **Method:** RAFT (Retrieval-Augmented Fine-Tuning)
-- **Dataset:** 3,156 curated Dioxus 0.7 examples
+- **Dataset:** 4,185 curated Dioxus 0.7 examples (3 training runs)
 - **Scope:** Rust + Dioxus 0.7 + Tailwind v4 + WCAG 2.2 AAA
-- **Quantization:** Q4_K_M (8.38 GB)
+- **Quantization:** Q4_K_M (8.4 GB) and MLX 4-bit (7.8 GB)
 - **Author:** Kevin Miller, Jr.
 
-## Enabling Thinking Mode
+## Files
+
+| File | Format | Size | Use case |
+|---|---|---|---|
+| `neotoi-coder-v2-q4_k_m.gguf` | GGUF Q4_K_M | 8.4 GB | LM Studio, llama.cpp, Ollama Linux |
+| `mlx/` | MLX 4-bit | 7.8 GB | Ollama 0.19+ Apple Silicon, mlx_lm |
+| `neotoi-coder-v1-q4_k_m_final.gguf` | GGUF Q4_K_M | 8.4 GB | v1.0 legacy |
 
-This model supports Qwen3 native thinking tokens.
-Thinking must be enabled manually depending on your inference backend.
+## Enabling Thinking Mode
 
 ### LM Studio
 
@@ -62,11 +98,10 @@ In the chat interface go to the prompt template settings and configure:
 | Before Assistant | `<\|im_start\|>assistant\n<think>` |
 | After Assistant | `<\|im_end\|>` |
 
-### Ollama
+### Ollama (Linux / GGUF)
 
-Create a Modelfile:
 ```
-FROM neotoi-coder-v1-q4_k_m_final.gguf
+FROM neotoi-coder-v2-q4_k_m.gguf
 PARAMETER temperature 0.2
 PARAMETER num_predict 4096
 PARAMETER repeat_penalty 1.15
@@ -81,13 +116,25 @@ TEMPLATE """<|im_start|>system
 SYSTEM You are Neotoi, an expert Rust and Dioxus 0.7 developer. Always think step-by-step before answering.
 ```
 
-### llama.cpp / llama-cli
+### mlx_lm server (Apple Silicon / Ollama 0.19+)
+
+```bash
+mlx_lm server \
+  --model path/to/mlx/ \
+  --host 127.0.0.1 \
+  --port 8080
+```
+
+Then point any OpenAI-compatible client at `http://localhost:8080`.
+
+### llama.cpp
+
 ```bash
 ./llama-cli \
-  -m neotoi-coder-v1-q4_k_m_final.gguf \
+  -m neotoi-coder-v2-q4_k_m.gguf \
   -ngl 99 \
   --temp 0.2 \
-  -p "<|im_start|>user\nYour question here<|im_end|>\n<|im_start|>assistant\n<think>"
+  -p "<|im_start|>user\nYour question<|im_end|>\n<|im_start|>assistant\n<think>"
 ```
 
 ## What It Knows
@@ -95,18 +142,23 @@ SYSTEM You are Neotoi, an expert Rust and Dioxus 0.7 developer. Always think ste
 - Dioxus 0.7 RSX brace syntax — never function-call style
 - `use_signal`, `use_resource` with correct three-arm match
 - `r#for` on label elements only, never inputs
-- WCAG 2.2 AAA: `aria_labelledby`, `aria_describedby`,
-  `role="alert"`, `role="dialog"`, live regions
+- `GlobalSignal` — `.write()` not `.set()` for statics
+- WCAG 2.2 AAA: tooltip always in DOM, listbox/option nesting,
+  `aria_labelledby` on all role containers
 - dioxus-primitives — no manual ARIA on managed components
 - `styles!()` macro for CSS modules
-- Tailwind v4 utility classes
+- Tailwind v4 utility classes and semantic tokens
+- EN/VI i18n via pre-rsx! let bindings
+- Dark mode via `document::eval` + CSS custom properties
+- Static content navigation with `use_memo` filtering
+- `use_context` panics without provider — never returns None
+- `WritableResultExt` from Dioxus 0.7.4
 
 ## What It Does Not Know
 
-- Tier 6 hard reasoning edge cases (use_context panic behavior,
-  optimistic UI race conditions) — known weak spots
 - Playwright/E2E testing (out of scope)
 - Non-Dioxus web frameworks
+- WebSocket Stream+Sink (simulated only — v2.1 target)
 
 ## License
 
@@ -121,15 +173,6 @@ Built with:
 - [Unsloth](https://github.com/unslothai/unsloth) — 2x faster fine-tuning
 - [TRL](https://github.com/huggingface/trl) — SFTTrainer
 - [Qwen3-Coder-14B](https://huggingface.co/Qwen/Qwen3-Coder-14B) — base model
-- [MLX](https://github.com/ml-explore/mlx) — dataset generation on Apple Silicon
+- [MLX](https://github.com/ml-explore/mlx) — Apple Silicon inference
 - [Claude Code](https://claude.ai/code) — dataset pipeline and training infrastructure
-- [Ansible](https://www.ansible.com) — server automation and RAFT workflow orchestration
-- [repomix](https://github.com/yamadashy/repomix) — bundling framework source into LLM context
-- [Forgejo](https://forgejo.org) — self-hosted git, source stored locally
-- [Zed](https://zed.dev) — editor used throughout development
 - [Dioxus](https://dioxuslabs.com) — the framework this model specializes in
-
-Developed on:
-- Apple M3 MacBook Pro — dataset generation, MLX inference, LM Studio
-- Rocky Linux 10.1 — dataset generation, Unsloth fine-tuning, PyTorch, GGUF export
-- CachyOS — additional RAFT pipeline work