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
File size: 3,002 Bytes
15f1210 | 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 57 58 59 60 61 62 63 64 65 66 | """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)
|