renalpha/glm47-flash-typo3
07
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-CoreApiTYPO3-Documentation/TYPO3CMS-Reference-TCATYPO3-Documentation/TYPO3CMS-Reference-TyposcriptTYPO3-Documentation/TYPO3CMS-Reference-ViewHelperTYPO3-Documentation/TYPO3CMS-Reference-TSconfigTYPO3-Documentation/TYPO3CMS-Tutorial-GettingStartedTYPO3-Documentation/TYPO3CMS-Tutorial-SitePackage
