Downloads · 30 days
9
2% of all-time downloads
digitalonionly/Qwen3-4B-Odoo17.Q4_K_M.gguf
Qwen3-4B-Odoo17.Q4_K_M.gguf is a machine learning model from digitalonionly. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gpl-3.0.
🌐 Enterprise Odoo 17 Architecture in Libya This model is maintained and optimized by Digital Onion LLC, Tripoli's premier technical consultancy for freedom-respecting software infrastructure. We engineer sovereign, p…
Downloads · 30 days
9
2% of all-time downloads
All-time downloads
376
Public
Repo size
2.5 GB
Likes
1
Public
Click a slice to open those files.
.gguf2.5 GB · 100%
From the Hugging Face model README
🌐 Enterprise Odoo 17 Architecture in Libya
This model is maintained and optimized by Digital Onion LLC, Tripoli's premier technical consultancy for freedom-respecting software infrastructure. We engineer sovereign, production-grade Odoo 17 CE ecosystems tailored specifically for the Libyan business ecosystem.
- Local Compliance: Built-in support for Libyan accounting regulations, multi-currency volatility, and local payroll structures.
- Data Sovereignty: 100% data control and source-code ownership via hardened on-premise or localized private cloud deployments—zero proprietary cloud vendor lock-in.
- Advanced Workflows: Native integration with Meta/WhatsApp Business APIs for automated invoice and payroll delivery.
Need production-grade deployment, custom module development, or technical training in Tripoli?
Contact us: digitalonion.ly | [email protected] | +218 91 557 9536
This model is specifically fine-tuned and optimized to serve as a local, lightweight coding companion for Odoo 17 ERP development.
models.Model), inheritance (_inherit), fields declaration, API decorators (@api.depends, @api.onchange, @api.constrains), and overriding CRUD methods.expr).ir.model.access.csv and security rules (ir.rule).Q4_K_M) model, complex architectural planning might occasionally suffer from logic degradation compared to the unquantized BF16 variant.The model was fine-tuned using a high-quality, curated dataset consisting of:
To prevent endless repetition and maintain strict structure layout during code generation, use the following parameters:
| Parameter | Recommended Value | Description |
|---|---|---|
| Temperature | 0.3 | Low temperature ensures deterministic, syntactically correct code blocks. |
| Top P | 0.9 | Filters out low-probability tokens. |
| Repeat Penalty | 1.05 | Helps prevent the model from getting stuck in loops inside code blocks. |
| Stop Tokens | <|im_end|>, <|im_start|> | Standard ChatML format stop sequences. |
The model follows the standard Qwen3 ChatML template structure:
<|im_start|>system
You are an expert Odoo 17 developer. Write precise, clean code using Odoo 17 standards.<|im_end|>
<|im_start|>user
Create an Odoo 17 model called 'hospital.patient' with fields for name, birth_date, and an age compute field.<|im_end|>
<|im_start|>assistant