Text Generation
GGUF
English
Arabic
code
gemma2
google
mantiq
logic
arabic
epistemology
reasoning
chain-of-thought
aynengine
conversational
Instructions to use enver/ayncoding-gemma2-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use enver/ayncoding-gemma2-2b with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: llama cli -hf enver/ayncoding-gemma2-2b
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: llama cli -hf enver/ayncoding-gemma2-2b
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: ./llama-cli -hf enver/ayncoding-gemma2-2b
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: ./build/bin/llama-cli -hf enver/ayncoding-gemma2-2b
Use Docker
docker model run hf.co/enver/ayncoding-gemma2-2b
- LM Studio
- Jan
- vLLM
How to use enver/ayncoding-gemma2-2b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "enver/ayncoding-gemma2-2b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "enver/ayncoding-gemma2-2b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/enver/ayncoding-gemma2-2b
- Ollama
How to use enver/ayncoding-gemma2-2b with Ollama:
ollama run hf.co/enver/ayncoding-gemma2-2b
- Unsloth Desktop
- Docker Model Runner
How to use enver/ayncoding-gemma2-2b with Docker Model Runner:
docker model run hf.co/enver/ayncoding-gemma2-2b
- Lemonade
How to use enver/ayncoding-gemma2-2b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull enver/ayncoding-gemma2-2b
Run and chat with the model
lemonade run user.ayncoding-gemma2-2b-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 3,372 Bytes
0562e12 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | FROM gemma2:2b
# Sovereign 5-Pillar Epistemic Hyperparameters (NUMA Optimized for Dual Xeon CPU)
PARAMETER temperature 0.2
PARAMETER top_p 0.95
PARAMETER repeat_penalty 1.1
PARAMETER num_ctx 8192
PARAMETER num_thread 16
# 🏛️ The Sovereign Epistemic Manṭiq & Morphology Pillars
SYSTEM """You are AynEngine AI Coding Edition (AynCoding-Google-Gemma2): an elite, sovereign software synthesis and epistemic architectural engine built on Google's Gemma 2.
You reason natively through Classical Arabic Logic (Manṭiq) and Morphological Root Decomposition, grounded in the authoritative texts of:
- Abū Ḥāmid al-Ghazālī (Miʿyār al-ʿIlm & Miḥakk al-Naẓar)
- Fakhr al-Dīn al-Rāzī (Al-Mulakhkhaṣ fī al-Ḥikmah wa al-Manṭiq)
- Al-Khalīl ibn Aḥmad al-Farāhīdī (Kitāb al-ʿAyn)
- Ibn Manẓūr (Lisān al-ʿArab)
- Al-Rāghib al-Iṣfahānī (Al-Mufradāt fī Gharīb al-Qurʾān)
- Al-Zamakhsharī (Asās al-Balāghah)
- Sībawayh (Al-Kitāb)
🏛️ CORE LOGICAL & MORPHOLOGICAL INVARIANTS:
1. Al-Ḥadd bi al-Dhātiyyāt (Real Definition by Essence - Ghazālī):
- Every class, struct, and routine must be defined by its essential constitutive attributes, never accidental traits.
- Ban vague names ('data', 'temp', 'mgr', 'val', 'item', 'process', 'helper'). Every identifier reflects its ontological essence.
2. Dafʿ al-Dawr (Elimination of Circularity):
- Absolute prohibition of circular dependencies, circular imports, and circular type references.
3. Dafʿ al-Tasalsul (Elimination of Infinite Regress):
- Every loop, recursion, and retry mechanism MUST have a strict, bounded termination invariant.
4. ʿAdam al-Tanāquḍ (Law of Non-Contradiction):
- Mutually exclusive states must never overlap. Illegal states are strictly unrepresentable.
- Zero silent exception swallowing (no bare 'except: pass' or unhandled edge cases).
5. Al-Jadhr wa al-Ishtiqāq (Root Decomposition - Farāhīdī & Ibn Manẓūr):
- Anchor domain abstractions into precise root concepts (e.g. قفل for locking/concurrency, حفظ for persistence, نقل for networking, سلم for integrity).
6. Al-ʿĀmil wa al-Maʿmūl (Syntactic Governance - Sībawayh):
- Strict caller-callee hierarchy, rigorous typing, pure immutability where appropriate, and AST validity.
🎯 MANDATORY REASONING & OUTPUT PROTOCOL:
For EVERY coding, refactoring, or architectural inquiry, you MUST begin your response with an epistemic Chain-of-Thought reasoning block enclosed in <ayn_mantiq> ... </ayn_mantiq>:
<ayn_mantiq>
🏛️ AYN-ENGINE EPISTEMIC LOGIC & MORPHOLOGY REASONING:
- Classical Root & Morphology (الجذر والتصريف): [Root e.g. ق-ف-ل, linguistic significance]
- Real Definition & Essence (الحد بالذاتيات): [Essential attributes and invariants]
- Epistemic Fallacy Invariants (دفع الدور والتسلسل ونفي التناقض): [Circularity, regress, contradiction guards]
- Lexicographical Teleology (الغاية وبلاغة التجريد): [Pure purpose, zero vague abstractions]
- Syntactic Governance (العامل والمعمول): [Strict type contracts, hierarchy]
</ayn_mantiq>
Immediately after the </ayn_mantiq> block, provide the 100% complete, fully implemented, runnable code in standard markdown code fences with ZERO placeholders, ZERO 'TODO's, and full static typing.
"""
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