Instructions to use aelgendy/QModel 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 aelgendy/QModel 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 aelgendy/QModel:Q4_K_M # Run inference directly in the terminal: llama cli -hf aelgendy/QModel:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf aelgendy/QModel:Q4_K_M # Run inference directly in the terminal: llama cli -hf aelgendy/QModel:Q4_K_M
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 aelgendy/QModel:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf aelgendy/QModel:Q4_K_M
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 aelgendy/QModel:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf aelgendy/QModel:Q4_K_M
Use Docker
docker model run hf.co/aelgendy/QModel:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use aelgendy/QModel with Ollama:
ollama run hf.co/aelgendy/QModel:Q4_K_M
- Unsloth Studio
How to use aelgendy/QModel with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aelgendy/QModel to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aelgendy/QModel to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aelgendy/QModel to start chatting
- Pi
How to use aelgendy/QModel with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf aelgendy/QModel:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "aelgendy/QModel:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use aelgendy/QModel with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf aelgendy/QModel:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "aelgendy/QModel:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use aelgendy/QModel with Docker Model Runner:
docker model run hf.co/aelgendy/QModel:Q4_K_M
- Lemonade
How to use aelgendy/QModel with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aelgendy/QModel:Q4_K_M
Run and chat with the model
lemonade run user.QModel-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use aelgendy/QModel with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf aelgendy/QModel:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default aelgendy/QModel:Q4_K_M
Run Hermes
hermes
- Atomic Chat
| """Islamic synonym mapping for query expansion.""" | |
| from typing import Dict, List | |
| # Mapping from common terms to their English and Arabic synonyms | |
| ISLAMIC_THESAURUS: Dict[str, List[str]] = { | |
| # Thematic terms | |
| "patience": ["sabr", "صبر", "ثبات", "تصبر"], | |
| "sabr": ["patience", "صبر", "endurance"], | |
| "mercy": ["rahmah", "رحمة", "رأفة", "مغفرة"], | |
| "rahmah": ["mercy", "رحمة", "compassion"], | |
| "prayer": ["salah", "صلوات", "صلاة", "قيام"], | |
| "salah": ["prayer", "صلاة", "namaz"], | |
| "charity": ["zakat", "صدقة", "إنفاق", "زكاة"], | |
| "zakat": ["charity", "alms", "زكاة"], | |
| "fasting": ["sawm", "siyam", "صيام", "صوم"], | |
| "sawm": ["fasting", "صوم", "siyam"], | |
| "pilgrimage": ["hajj", "umrah", "حج", "عمرة"], | |
| "hajj": ["pilgrimage", "حج"], | |
| "faith": ["iman", "إيمان", "عقيدة"], | |
| "iman": ["faith", "إيمان", "belief"], | |
| "heaven": ["jannah", "جنة", "فردوس"], | |
| "jannah": ["heaven", "paradise", "جنة"], | |
| "hell": ["jahannam", "nar", "جهنم", "نار"], | |
| "jahannam": ["hell", "fire", "جهنم"], | |
| # Legal & Scholarly terms | |
| "inheritance": ["mirath", "fara'id", "ميراث", "مواريث", "فرائض", "ورثة", "تريكة"], | |
| "mirath": ["inheritance", "ميراث", "فرائض"], | |
| "fara'id": ["inheritance", "فرائض", "laws of inheritance"], | |
| "will": ["وصية", "wasiyyah"], | |
| "wasiyyah": ["will", "وصية", "testament"], | |
| # Technical terms | |
| "authentic": ["sahih", "صحيح", "موثوق"], | |
| "sahih": ["authentic", "صحيح", "rigorous"], | |
| "weak": ["da'if", "ضعيف", "واهي"], | |
| "da'if": ["weak", "ضعيف"], | |
| "narrator": ["rawi", "راوي", "سند", "إسناد"], | |
| "isnad": ["narrators", "chain", "إسناد", "سند"], | |
| # Core Spiritual & Belief terms | |
| "tawhid": ["monotheism", "توحيد", "إخلاص"], | |
| "piety": ["taqwa", "تقوى", "خشية"], | |
| "taqwa": ["piety", "تقوى", "god-consciousness"], | |
| "repentance": ["tawbah", "توبة", "استغفار", "انابة"], | |
| "tawbah": ["repentance", "توبة"], | |
| "forgiveness": ["maghfirah", "عفو", "مغفرة", "غفران"], | |
| "supplication":["dua", "دعاء", "ابتهال"], | |
| "dua": ["supplication", "دعاء", "prayer"], | |
| "striving": ["jihad", "جهاد", "مجاهدة"], | |
| "jihad": ["striving", "جهاد", "struggle"], | |
| "intercession":["shafa'ah", "شفاعة"], | |
| "shafa'ah": ["intercession", "شفاعة"], | |
| } | |
| def expand_synonyms(keywords: List[str]) -> List[str]: | |
| """Expand a list of keywords with synonyms from the thesaurus.""" | |
| expanded = set(keywords) | |
| for kw in keywords: | |
| kw_lower = kw.lower() | |
| if kw_lower in ISLAMIC_THESAURUS: | |
| expanded.update(ISLAMIC_THESAURUS[kw_lower]) | |
| return list(expanded) | |