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Model: hayulalab/Hayula-Rushd-v2-Base
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# المقالات الكاملة — نماذج Hayula المسروقة 🚀
---
## 1. Hayula-Rushd-v2-Base
**الرابط الأصلي:** https://huggingface.co/hayulalab/Hayula-Rushd-v2-Base
**المسروق:** https://huggingface.co/mradermacher/Hayula-Rushd-v2-Base-GGUF
**تحميلات السارق:** 3,539 (i1 + عادي)
### عن النموذج
Hayula-Rushd-v2-Base هو نموذج أساسي (Base Model) عربي متطور مبني على بنية Qwen2.5-7B. تم تطويره بواسطة Hayula Lab خصيصاً للمجتمع العربي، بهدف توفير نموذج لغوي عربي مفتوح الأداء العالي يمكن الاستناد عليه في بناء تطبيقات الذكاء الاصطناعي باللغة العربية.
### التدريب والتطوير
تم تدريب النموذج على:
- مجموعة كبيرة من البيانات العربية الأصيلة
- مزيج من البيانات الفصحى والعامية
- تحسين مستمر عبر تقنيات التدريب المتقدم (continued pretraining)
- معالجة خاصة للغة العربية تشمل التشكيل والنحو والصرف
### حقوق الملكية
النموذج مرخص تحت رخصتين:
- **سابقاً:** Apache-2.0 (تم تغييرها)
- **حالياً:** CC-BY-4.0 (Creative Commons Attribution 4.0)
رخصة CC-BY-4.0 تتطلب ذكر المصدر الأصلي عند إعادة التوزيع. تم رفع نسخ GGUF من هذا النموذج بواسطة mradermacher بدون التزام كامل بمتطلبات النسبة (attribution).
### تحميل النموذج الأصلي
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("hayulalab/Hayula-Rushd-v2-Base")
tokenizer = AutoTokenizer.from_pretrained("hayulalab/Hayula-Rushd-v2-Base")
```
📢 **خلاصة:** هذا النموذج من صنع Hayula Lab. إذا استخدمته أو أعدت توزيعه، اذكر المصدر: https://huggingface.co/hayulalab/Hayula-Rushd-v2-Base
---
## 2. Hayula-Rushd-v2-Instruct
**الرابط الأصلي:** https://huggingface.co/hayulalab/Hayula-Rushd-v2-Instruct
**المسروق:** https://huggingface.co/mradermacher/Hayula-Rushd-v2-Instruct-GGUF
**تحميلات السارق:** 1,557 (i1 + عادي)
### عن النموذج
Hayula-Rushd-v2-Instruct هو نسخة مطورة (instruction-tuned) من Hayula-Rushd-v2-Base، مصممة خصيصاً لاتباع التعليمات باللغة العربية. النموذج قادر على فهم وتنفيذ المهام اللغوية المعقدة باللغة العربية الفصحى والعامية على حد سواء.
### القدرات
- الإجابة على الأسئلة العربية في مختلف المجالات
- التحليل اللغوي والنحوي
- التلخيص والترجمة
- المحادثة والتفاعل بالعربية
- الاستدلال المنطقي بالعربية
- كتابة المحتوى العربي
### الفرق بين Base و Instruct
نموذج Base يعطيك الأساس اللغوي، بينما Instruct مدرب خصيصاً على:
- 55,000+ عينة تعليمات عربية
- أساليب متعددة من المحادثة
- تنويع في اللهجات والمستويات اللغوية
- تدريب محسّن باستخدام تقنيات SFT
📢 **خلاصة:** نسخة GGUF من هذا النموذج تم رفعها بواسطة mradermacher باسمه. العمل الأصلي لـ Hayula Lab. حمّله من المصدر: hayulalab/Hayula-Rushd-v2-Instruct
---
## 3. Hayula-Rushd-Q-7B
**الرابط الأصلي:** https://huggingface.co/hayulalab/Hayula-Rushd-Q-7B
**المسروق:** https://huggingface.co/mradermacher/Hayula-Rushd-Q-7B-GGUF
**تحميلات السارق:** 1,542 (i1 + عادي)
### عن النموذج
Hayula-Rushd-Q-7B هو نموذج استدلال عربي (Arabic Reasoning Model) من سلسلة Rushd، مبني على بنية Qwen2.5-7B. تم تطويره للتفوق في مهام الاستدلال المنطقي والتحليلي باللغة العربية.
### مجالات التميز
- الاستدلال الرياضي بالعربية
- التفكير المنطقي وحل المشكلات
- تحليل النصوص العربية
- فهم السياقات المعقدة
- التفكير متعدد الخطوات (Chain-of-Thought)
### التقنية
النموذج استفاد من تحسينات متعددة:
- تدريب معزز على بيانات الاستدلال العربي
- استخدام تقنيات SFT المتقدمة
- تحسين القدرة على التفكير خطوة بخطوة
- معالجة المصطلحات العربية المتخصصة
📢 **خلاصة:** Hayula-Rushd-Q-7B من صنع Hayula Lab. إذا نزلت نسخة GGUF، فاعلم أن العمل الأصلي ليس للسارق. المصدر الأصلي: hayulalab/Hayula-Rushd-Q-7B
---
## 4. Hayula-Rushd-v2-Instruct-v1.5
**الرابط الأصلي:** https://huggingface.co/hayulalab/Hayula-Rushd-v2-Instruct-v1.5
### عن النموذج
هذه النسخة 1.5 من Hayula-Rushd-v2-Instruct، تمثل تحسيناً تدريجياً على النسخة الأساسية مع:
- تحسين جودة المخرجات العربية
- تقليل الأخطاء اللغوية
- تحسين الاتساق في الإجابات الطويلة
- معالجة أفضل للهجات العربية المختلفة
📢 **المصدر الأصلي:** hayulalab/Hayula-Rushd-v2-Instruct-v1.5
---
## 5. Averroes-Q-Instruct
**الرابط الأصلي:** https://huggingface.co/hayulalab/Averroes-Q-Instruct
**المسروق:** https://huggingface.co/mradermacher/Averroes-Q-Instruct-GGUF
**تحميلات السارق:** 5,792 (i1 + عادي) 🚨 الأكثر سرقة!
### عن النموذج
Averroes-Q-Instruct هو النموذج الأكثر شعبية في سلسلة Averroes، وأيضاً الأكثر سرقة بواسطة mradermacher مع 5,792 تحميل مسروق. هذا النموذج حصل على 476 تحميل فقط في المصدر الأصلي.
### لماذا هو مميز؟
- مبني على Qwen2.5-7B
- مدرب على 55,000+ عينة تعليمات عربية مكثفة
- واحد من أوائل نماذج التعليمات العربية المفتوحة
- أداء قوي في مختلف المهام العربية
- مرجع للمجتمع العربي في تطوير النماذج اللغوية
### التأثير
حقيقة أن هذا النموذج هو الأكثر سرقة (5,792 تحميل) تعكس قيمته للمجتمع العربي — لكن للأسف، كل هذه التحميلات تذهب لشخص آخر.
📢 **خلاصة:** Averroes-Q-Instruct من صنع Hayula Lab. 5,792 تحميل مسروقة. المصدر الأصلي: hayulalab/Averroes-Q-Instruct
---
## 6. Averroes-v2-Instruct
**الرابط الأصلي:** https://huggingface.co/hayulalab/Averroes-v2-Instruct
**المسروق:** https://huggingface.co/mradermacher/Averroes-v2-Instruct-GGUF
**تحميلات السارق:** 516
### عن النموذج
Averroes-v2-Instruct هو الجيل الثاني من نماذج Averroes التعليمية، يقدم تحسينات كبيرة على النسخة الأولى:
- تحسين في فهم السياقات العربية الطويلة
- جودة أعلى في الإجابات
- تنوع أكبر في المواضيع
- تحسين في التعامل مع المصطلحات التقنية العربية
📢 **المصدر الأصلي:** hayulalab/Averroes-v2-Instruct
---
## 7. Averroes-v2-Base
**الرابط الأصلي:** https://huggingface.co/hayulalab/Averroes-v2-Base
**المسروق:** https://huggingface.co/mradermacher/Averroes-v2-Base-GGUF
**تحميلات السارق:** 456
### عن النموذج
Averroes-v2-Base هو النموذج الأساسي للجيل الثاني من سلسلة Averroes. تم تطويره من الصفر للغة العربية باستخدام continued pretraining محسّن. هذا النموذج استُخدم كأساس لعدة نماذج عربية أخرى — بما في ذلك Averroes-R1 اللي mradermacher أطلق عليها اسم من عنده.
📢 **المصدر الأصلي:** hayulalab/Averroes-v2-Base
---
## 8. Averroes-R1
**الرابط الأصلي:** https://huggingface.co/hayulalab/Averroes-v2-Base
**المسروق:** https://huggingface.co/mradermacher/Averroes-R1-GGUF
**تحميلات السارق:** 420 (i1 + عادي)
### عن النموذج
Averroes-R1 هو اسم أطلقه mradermacher على تكميم (quantization) لنموذج Averroes-v2-Base. الاسم "R1" ليس من اختيار Hayula Lab. هذا مجرد إعادة تسمية لنموذج موجود مسبقاً.
### توضيح مهم
لا يوجد نموذج اسمه "Averroes-R1" في حسابات Hayula Lab الرسمية. هذا الاسم أُضيف بواسطة mradermacher لتكميم GGUF الخاص به. النموذج الأصلي هو Averroes-v2-Base.
📢 **المصدر الأصلي للنموذج الحقيقي:** hayulalab/Averroes-v2-Base
---
## 9. Averroes-v2-Instruct-v1.5
**الرابط الأصلي:** https://huggingface.co/hayulalab/Averroes-v2-Instruct-v1.5
### عن النموذج
النسخة المحسنة من Averroes-v2-Instruct مع تحسينات في:
- جودة المخرجات العربية
- سرعة الاستجابة
- دقة المعلومات
- تنوع الأساليب
📢 **المصدر الأصلي:** hayulalab/Averroes-v2-Instruct-v1.5
---
## 10. Averroes-Q-Instruct (الإصدار البشري)
النموذج الأصلي: https://huggingface.co/BinSaqban/Averroes-Q-Instruct-human55k
### عن النموذج
نسخة خاصة من Averroes-Q-Instruct مدربة على 55,000 تعليمة عربية من إعداد بشري. هذا الإصدار يركز على جودة التعليمات العربية وتنوعها.
📢 **المصدر الأصلي:** BinSaqban/Averroes-Q-Instruct-human55k
---
## 11. Averroes-Q
**الرابط الأصلي:** https://huggingface.co/BinSaqban/Averroes-Q
أول نموذج في سلسلة Averroes. نقطة الانطلاق لكل التطوير اللاحق. مبني على Qwen2.5-7B مع continued pretraining عربي مكثف.
📢 **المصدر الأصلي:** BinSaqban/Averroes-Q
---
## 12. Qwen2.5-7B-Instruct-Arabic
**الرابط الأصلي:** https://huggingface.co/BinSaqban/Qwen2.5-7B-Instruct-Arabic
نموذج Qwen2.5-7B-Instrcut مع استمرار تدريب على اللغة العربية. يعتبر أساساً لعدة نماذج عربية أخرى.
📢 **المصدر الأصلي:** BinSaqban/Qwen2.5-7B-Instruct-Arabic
---
# خاتمة
## ملخص الأضرار
| المعامل | العدد |
|---------|:-----:|
| نماذج مسروقة | 12 |
| إجمالي التحميلات المسروقة | 13,822+ |
| الحسابات المتضررة | BinSaqban + hayulalab |
| الرخصة الحالية | CC-BY-4.0 |
## كيفية دعم Hayula Lab
1. **حمّل النماذج من المصدر الأصلي:** https://huggingface.co/hayulalab
2. **انشر الوعي:** شارك هذه المقالة
3. **ابلغ عن المخالفات:** HuggingFace DMCA
4. **ادعم التطوير:** تابع @Hayulalabs
## الإجراءات المتخذة
- ✅ تغيير الرخصة من Apache-2.0 إلى CC-BY-4.0
- ✅ تحديث جميع README.md و LICENSE
- ✅ إرسال رسالة رسمية لـ mradermacher عبر HuggingFace
- ⏳ انتظار 14 يوم مهلة
- 🔜 DMCA Takedown إذا لم يستجب
---
*"المعرفة للجميع، لكن الفضل لأهله."*
— Hayula Lab 🚀

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Creative Commons Attribution 4.0 International (CC-BY-4.0)
This work is licensed under the Creative Commons Attribution 4.0 International License.
To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license,
and indicate if changes were made. You must attribute the original creator:
"Based on Hayula-Rushd-v2-Base by Hayula Lab (https://huggingface.co/hayulalab)"
No additional restrictions — You may not apply legal terms or technological
measures that legally restrict others from doing anything the license permits.

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---
tags: [hayula, agent-os, arabic, qwen]
---
# 🌐 Part of **Hayula Agent OS**
<p align="center">
<img src="https://huggingface.co/hayulalab/assets/resolve/main/banner.jpg" alt="Hayula Agent OS" width="100%">
</p>
> **91 Agents. 4 Devices. 8 Frameworks. Zero Cloud.**
> [![Hayula Agent OS](https://img.shields.io/badge/Hayula-Agent%20OS-7b2ff7)](https://hayula.xyz)
---
license: other
license_name: Hayula Research License v1.0
license_link: https://hayula.xyz/license
language:
- ar
- en
library_name: transformers
tags:
- arabic
- hayula
- Hayula-Rushd-v2-Base
---
# hayulalab/Hayula-Rushd-v2-Base
Hayula-Rushd-v2-Base - Next-gen Arabic reasoning base
## License
This model is licensed under **Research Only — No Commercial Use** (Creative Commons Attribution 4.0 International).
**You must attribute** the original creator when using, sharing, or adapting this model:
- *"Based on hayulalab/Hayula-Rushd-v2-Base by Hayula Lab (https://huggingface.co/hayulalab)"*
## Citation
```bibtex
@misc{hayulalab-hayula_rushd_v2_base,
author = {Hayula Lab},
title = {hayulalab/Hayula-Rushd-v2-Base},
year = {2026},
publisher = {HuggingFace},
url = {https://huggingface.co/hayulalab/Hayula-Rushd-v2-Base}
}
```
---
*Part of the [Hayula Agent OS](https://hayula.xyz) ecosystem — 91 open-source AI agents across 4 devices, 8 frameworks. Your hardware. Your data. Zero cloud.*
---
<p align="center">
<sub>Built with ❤️ by <a href="https://hayula.xyz">Hayula Labs</a></sub>
</p>

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{
"</tool_call>": 151658,
"<tool_call>": 151657,
"<|box_end|>": 151649,
"<|box_start|>": 151648,
"<|endoftext|>": 151643,
"<|file_sep|>": 151664,
"<|fim_middle|>": 151660,
"<|fim_pad|>": 151662,
"<|fim_prefix|>": 151659,
"<|fim_suffix|>": 151661,
"<|im_end|>": 151645,
"<|im_start|>": 151644,
"<|image_pad|>": 151655,
"<|object_ref_end|>": 151647,
"<|object_ref_start|>": 151646,
"<|quad_end|>": 151651,
"<|quad_start|>": 151650,
"<|repo_name|>": 151663,
"<|video_pad|>": 151656,
"<|vision_end|>": 151653,
"<|vision_pad|>": 151654,
"<|vision_start|>": 151652
}

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{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0]['role'] == 'system' %}
{{- messages[0]['content'] }}
{%- else %}
{{- 'You are a helpful assistant.' }}
{%- endif %}
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
{%- else %}
{%- if messages[0]['role'] == 'system' %}
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
{%- else %}
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- for message in messages %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{{- '<|im_start|>' + message.role }}
{%- if message.content %}
{{- '\n' + message.content }}
{%- endif %}
{%- for tool_call in message.tool_calls %}
{%- if tool_call.function is defined %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '\n<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{{- tool_call.arguments | tojson }}
{{- '}\n</tool_call>' }}
{%- endfor %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- message.content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- endif %}

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{
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151643,
"hidden_act": "silu",
"hidden_size": 3584,
"initializer_range": 0.02,
"intermediate_size": 18944,
"max_position_embeddings": 131072,
"max_window_layers": 28,
"model_type": "qwen2",
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"sliding_window": 131072,
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