Update README.md

README.md

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 library_name: transformers
 tags:
 - unsloth
+- abp-io
+- csharp
+- dotnet
+- coding
+- agent
+- vibe-coding
+- tooling
+license: apache-2.0
+base_model:
+- deepseek-ai/DeepSeek-R1
+pipeline_tag: text-generation
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
+# B3G ABP.IO Coder Thinking Max
 
 ## Model Details
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+**B3G_ABP.IO_Coder_thinking_max** est un fine-tune de DeepSeek-R1 spécialisé pour le développement C# / ABP.IO.  
+Il est conçu pour le **vibe coding** — le développeur décrit son intention en langage naturel et le modèle génère, complète ou refactorise du code ABP.IO de manière agentique, avec du tooling intégré.
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Developed by:** Badre Zouiri
+- **Funded by:** Badre Zouiri (projet personnel)
+- **Shared by:** Badre Zouiri
+- **Model type:** Causal Language Model (fine-tuned) avec support de tool calling
+- **Language(s) (NLP):** Anglais, Français, Arabe
+- **Programming Language(s):** C#, .NET, ABP.IO, CSHTML, JSON
+- **License:** Apache 2.0
+- **Finetuned from model:** [deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1)
 
-### Model Sources [optional]
+### Model Sources
 
-<!-- Provide the basic links for the model. -->
+- **Repository:** [bzouiri/B3G_ABP.IO_Coder_thinking_max](https://huggingface.co/bzouiri/B3G_ABP.IO_Coder_thinking_max)
+- **Paper:** N/A
+- **Demo:** Coming soon
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+---
 
 ## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
 ### Direct Use
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
+Ce modèle peut être utilisé directement pour :
+- Générer du code ABP.IO (Application Services, Entities, DTOs, Repositories, Modules...)
+- Répondre à des questions techniques sur ABP Framework, ASP.NET Core, EF Core
+- Compléter ou refactoriser du code C# dans un contexte ABP
+- Interactions en anglais, français et arabe
 
-### Downstream Use [optional]
+### Downstream Use (Vibe Coding Agent)
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
+Le cas d'usage principal est l'intégration dans un **agent de vibe coding** :
+- L'utilisateur décrit en langage naturel ce qu'il veut construire
+- Le modèle génère le code ABP.IO correspondant
+- Des **outils (tools)** permettent au modèle d'interagir avec le projet :
+  - Lire/écrire des fichiers `.cs`
+  - Exécuter `dotnet build` / `dotnet ef migrations add`
+  - Inspecter la structure du projet ABP
+  - Appeler des commandes ABP CLI (`abp generate-proxy`, `abp add-module`, etc.)
 
 ### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+- Non adapté aux projets .NET hors ABP Framework sans adaptation
+- Ne remplace pas une revue de code humaine
+- Non destiné à des projets non-.NET (Java, Python, etc.)
 
-[More Information Needed]
+---
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+- Le modèle est optimisé pour **ABP.IO v7+**
+- Le code généré doit toujours être relu et testé avant mise en production
+- Les patterns générés suivent les conventions ABP standard
+- Hérite des biais de DeepSeek-R1 sur le code généré
 
 ### Recommendations
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+Toujours valider le code généré via les tests unitaires et une revue humaine. Utiliser le modèle comme **co-pilote**, non comme seul développeur.
 
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+---
 
 ## How to Get Started with the Model
 
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-### Training Data
+tokenizer = AutoTokenizer.from_pretrained("bzouiri/B3G_ABP.IO_Coder_thinking_max")
+model = AutoModelForCausalLM.from_pretrained("bzouiri/B3G_ABP.IO_Coder_thinking_max")
 
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+prompt = """
+Create an ABP.IO Application Service for a `Product` entity with:
+- CRUD operations
+- DTO mapping
+- Repository injection
+- Permission checks
+"""
 
-[More Information Needed]
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=1024)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
 
-### Training Procedure
+---
 
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+## Training Details
 
-#### Preprocessing [optional]
+### Training Data
 
-[More Information Needed]
+Dataset **custom créé par Badre Zouiri**, composé de :
+- Exemples de code ABP.IO (Entities, Services, Modules, DTOs...)
+- Paires instruction/code en anglais, français et arabe
+- Exemples de tool calling pour agents de vibe coding ABP
+- Cas d'usage réels issus de projets ABP.IO
 
+### Training Procedure
 
 #### Training Hyperparameters
 
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
+- **Training regime:** bf16 mixed precision
+- **Fine-tuning method:** LoRA / QLoRA via Unsloth
+- **Base model:** deepseek-ai/DeepSeek-R1
 
-[More Information Needed]
+#### Speeds, Sizes, Times
 
-#### Factors
+- **Hardware:** NVIDIA RTX 4090
+- **Hours used:** 50h – 100h
+- **Year:** 2025
 
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
+---
 
 ## Environmental Impact
 
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+- **Hardware Type:** NVIDIA RTX 4090
+- **Hours used:** 50 – 100 heures
+- **Cloud Provider:** Local (on-premise)
+- **Compute Region:** Morocco 🇲🇦
+- **Carbon Emitted:** Estimable via [ML Impact Calculator](https://mlco2.github.io/impact#compute)
 
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
+---
 
-## Technical Specifications [optional]
+## Technical Specifications
 
 ### Model Architecture and Objective
 
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
+Basé sur **DeepSeek-R1** (Transformer décodeur).  
+Objectif : génération de code C# / ABP.IO avec capacités de **tool calling** pour l'intégration dans des pipelines agentiques de vibe coding.
 
-[More Information Needed]
+### Software
 
-#### Software
+- `transformers`
+- `unsloth`
+- `torch`
+- `peft`
+- `dotnet SDK` (côté runtime agent)
+- `ABP CLI` (côté runtime agent)
 
-[More Information Needed]
-
-## Citation [optional]
+---
 
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+## Citation
 
 **BibTeX:**
+```bibtex
+@misc{B3G_ABP.IO_Coder_thinking_max,
+  title        = {B3G ABP.IO Coder Thinking Max},
+  author       = {Badre Zouiri},
+  year         = {2025},
+  publisher    = {HuggingFace},
+  url          = {https://huggingface.co/bzouiri/B3G_ABP.IO_Coder_thinking_max},
+  license      = {Apache 2.0},
+  note         = {Fine-tuned from DeepSeek-R1 using Unsloth for ABP.IO C# vibe coding}
+}
+```
 
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
+---
 
-## Model Card Authors [optional]
+## Model Card Authors
 
-[More Information Needed]
+**Badre Zouiri** — [bzouiri](https://huggingface.co/bzouiri)
 
 ## Model Card Contact
 
-[More Information Needed]
+HuggingFace: [bzouiri](https://huggingface.co/bzouiri)