48c839d927
This is the snapshot the production landing site (nibiru-framework.com) is deployed from. Brings together the recent splash + docs migration to the v4 "Cosmos" design system, the new in-framework AI module, and the framework groundwork that backs the framework-reference extraction. What lands: - docs/: Astro + Starlight site with the v4 dark cosmic palette, GalaxyHero canvas constellation, Mission Control chat (wired to /api/oracle → api.neuronetz.ai via providers.mjs Ollama), 5-panel MMVC stage (Model · AI · Module · Controller · View), translated EN/DE/JA/ES/FR content, PWA + sitemap + llms.txt + Umami analytics. - docs/design-system/: canonical mockup bundle (source/index-v2.html for splash, source/docs-system.html + preview/ for docs, SPEC.md, tokens). - docs/scripts/extraction/framework-reference-v2.md: deep framework reference (~1.6k lines, file:line citations, every public factory and idiom — basis for the LoRA training corpus. - application/module/ai/: AI module with chat / embed / RAG / agent plugins, plus pdoQuery / httpGet / fileRead tools and Modelfile + smoke-test in training/. - application/module/users/: user / ACL / form-factory traits used as the reference plugin pattern for the framework docs. - application/settings/config/database/: schema + seed migrations including the AI module tables (200–203). - Form factory + autogenerator changes the framework-reference-v2 covers. Production secrets stay out: docs/.env, settings.production.ini and ai.production.ini are all gitignored (.example files are in tree). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
64 lines
2.3 KiB
Markdown
64 lines
2.3 KiB
Markdown
# Training nibiru-coder
|
|
|
|
This folder contains everything needed to register a Nibiru-flavoured chat
|
|
model on your Ollama server (defaults to `http://localhost:11434`; override
|
|
via the `OLLAMA_BASE_URL` env var or in `application/module/ai/settings/ai.production.ini`).
|
|
|
|
## What the model is
|
|
|
|
`nibiru-coder` is a **system-prompt-customised** Qwen 2.5 Coder 14B. It's not
|
|
a fine-tune in the LoRA sense — it's the same weights as the base model but
|
|
with a baked-in system prompt that:
|
|
|
|
- explains MMVC, modules, the dispatcher, and Nibiru's singletons,
|
|
- enforces the framework's conventions (`pageAction`, `navigationAction`,
|
|
`View::assign`, `Form::create`),
|
|
- pushes the model toward Nibiru-idiomatic answers instead of generic Laravel
|
|
/ Symfony advice.
|
|
|
|
System-prompt customisation runs **instantly** (no GPU training time) and
|
|
gives ~80 % of the value of a real LoRA at zero training cost. When you have
|
|
budget for a real LoRA, the
|
|
[corpus exporter](/en/ai/corpus/) produces the JSONL you'd train on.
|
|
|
|
## Build it
|
|
|
|
```bash
|
|
./application/module/ai/training/build.sh # builds nibiru-coder:1.0
|
|
./application/module/ai/training/build.sh 1.1 # bump tag
|
|
```
|
|
|
|
The script:
|
|
|
|
1. Reads the `Modelfile` next to it.
|
|
2. POSTs to `${OLLAMA_BASE_URL}/api/create`.
|
|
3. Runs a smoke-test chat call to confirm the new tag responds.
|
|
|
|
After it succeeds, set the model in `application/module/ai/settings/ai.ini`:
|
|
|
|
```ini
|
|
[AI]
|
|
chat.model = "nibiru-coder:1.0"
|
|
```
|
|
|
|
…and every `\Nibiru\Module\Ai\Ai` instance in your app talks to it.
|
|
|
|
## Iterate on the system prompt
|
|
|
|
The Modelfile's `SYSTEM """ ... """` block is the lever. Tighten the
|
|
conventions, add new examples, or add citations to specific framework files.
|
|
Re-run `build.sh` with a new tag (`1.1`, `1.2`) and A/B against the previous
|
|
tag in your app.
|
|
|
|
## Real LoRA path (when you're ready)
|
|
|
|
1. Run `npm run build:corpus` in `docs/` — produces `dist/corpus/chat.jsonl`.
|
|
2. Use Axolotl / Unsloth / LLaMA-Factory with that JSONL as your sharegpt
|
|
training set.
|
|
3. Convert the resulting LoRA to GGUF (`llama.cpp`'s `convert-hf-to-gguf.py`).
|
|
4. Build an Ollama Modelfile with `FROM ./your-lora.gguf` and re-register
|
|
as `nibiru-coder:2.0`.
|
|
|
|
The framework code doesn't need to change — flip the model tag in
|
|
`ai.ini` and you're on the new weights.
|