Text Generation
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text-generation-inference
Instructions to use hhuihiu/ADAM-STUDIO-MAX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hhuihiu/ADAM-STUDIO-MAX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="hhuihiu/ADAM-STUDIO-MAX") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hhuihiu/ADAM-STUDIO-MAX") model = AutoModelForCausalLM.from_pretrained("hhuihiu/ADAM-STUDIO-MAX", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hhuihiu/ADAM-STUDIO-MAX with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hhuihiu/ADAM-STUDIO-MAX" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hhuihiu/ADAM-STUDIO-MAX", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/hhuihiu/ADAM-STUDIO-MAX
- SGLang
How to use hhuihiu/ADAM-STUDIO-MAX with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "hhuihiu/ADAM-STUDIO-MAX" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hhuihiu/ADAM-STUDIO-MAX", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "hhuihiu/ADAM-STUDIO-MAX" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hhuihiu/ADAM-STUDIO-MAX", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use hhuihiu/ADAM-STUDIO-MAX with Docker Model Runner:
docker model run hf.co/hhuihiu/ADAM-STUDIO-MAX
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# 🚀 ADAM-STUDIO-MAX
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هذا النموذج هو النسخة الاحترافية الأولى م
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- **Optimization:** يعمل بكفاءة عالية على الأجهزة المتوسطة والضعيفة (8GB RAM).
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---
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# 🚀 ADAM-STUDIO-MAX
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هذا النموذج هو النسخة الاحترافية الأولى المخصصة لدعم المبرمجين، مع تركيز خاص على تقنيات الـ Full-stack و .NET بذكاء عالي ودعم كامل للغة العربية.
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## 👤 المطور (Developer)
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تم تطوير وتخصيص هذا النموذج بواسطة المطور:
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**آدم محمود عبدالعليم**
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---
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## 🏗️ ADAM STUDIO
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يمكنكم زيارة منصتنا الرسمية لمتابعة المزيد من المشاريع والخدمات التقنية:
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🔗 **[ADAM STUDIO Official Platform](https://adam-studio-platform.wasmer.app/)**
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---
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## 🛠️ القدرات التقنية (Technical Specs):
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- **Base Model:** Qwen2.5-Coder (1.5B)
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- **Specialization:** C#, ASP.NET, React, Python, UI/UX Logic.
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- **Arabic Support:** محسن لفهم واستيعاب المصطلحات التقنية باللغة العربية.
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- **Efficiency:** يعمل بسلاسة على الأجهزة ذات الموارد المحدودة (8GB RAM).
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## 👨💻 كيف تساهم؟
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النموذج متاح للاستخدام العام، ويمكنك استخدامه في مشاريعك الخاصة لدعم كتابة الأكواد وتصحيح الأخطاء.
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© 2026 **Adam Studio**. جميع الحقوق محفوظة.
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