glm47-flash-typo3

GLM-4.7-Flash — TYPO3 v13.4 / v14 Finetuned

A LoRA adapter finetuned on top of GLM-4.7-Flash for TYPO3 CMS development — covering v13.4 LTS and v14.

What it knows

Trained on 17,649 Q&A pairs generated from the official TYPO3 documentation:

• Core API (TYPO3 Explained) — PSR-15 middleware, events, DI, site sets
• TCA Reference — all field types, column configs, type definitions
• TypoScript Reference — content objects, stdWrap, conditions, functions
• Fluid Templates — ViewHelpers, partials, layouts, standalone rendering
• TSconfig Reference — page and user TSconfig
• Sitepackage Tutorial — site package structure, configuration
• Getting Started Tutorial — installation, setup, basic concepts
• All sections covering both v13.4 LTS and v14 (main)

Training details

Usage

from unsloth import FastLanguageModel

model, tokenizer = FastLanguageModel.from_pretrained(
    "renalpha/glm47-flash-typo3",
    max_seq_length = 2048,
    dtype = None,
    load_in_4bit = False,
)

messages = [
    {
        "role": "system",
        "content": "You are an expert TYPO3 13.4 developer."
    },
    {
        "role": "user", 
        "content": "How do I create a custom TCA field type in TYPO3 v13.4?"
    }
]

inputs = tokenizer.apply_chat_template(
    messages,
    tokenize=True,
    add_generation_prompt=True,
    return_tensors="pt",
).to("cuda")

outputs = model.generate(
    input_ids=inputs,
    max_new_tokens=512,
    temperature=0.7,
    do_sample=True,
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Dataset

Generated from the official TYPO3 GitHub documentation repos using GLM-4-32B-0414 as the synthetic data generator.

Repos used:

• TYPO3-Documentation/TYPO3CMS-Reference-CoreApi
• TYPO3-Documentation/TYPO3CMS-Reference-TCA
• TYPO3-Documentation/TYPO3CMS-Reference-Typoscript
• TYPO3-Documentation/TYPO3CMS-Reference-ViewHelper
• TYPO3-Documentation/TYPO3CMS-Reference-TSconfig
• TYPO3-Documentation/TYPO3CMS-Tutorial-GettingStarted
• TYPO3-Documentation/TYPO3CMS-Tutorial-SitePackage