Text Generation
Transformers
Safetensors
GGUF
llama
chatbot
multilingual
arabic
french
tamazight
english
conversational
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use kaisser/LLM-Maroc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaisser/LLM-Maroc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kaisser/LLM-Maroc") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("kaisser/LLM-Maroc") model = AutoModelForCausalLM.from_pretrained("kaisser/LLM-Maroc", 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
- llama.cpp
How to use kaisser/LLM-Maroc 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 kaisser/LLM-Maroc:BF16 # Run inference directly in the terminal: llama cli -hf kaisser/LLM-Maroc:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf kaisser/LLM-Maroc:BF16 # Run inference directly in the terminal: llama cli -hf kaisser/LLM-Maroc:BF16
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 kaisser/LLM-Maroc:BF16 # Run inference directly in the terminal: ./llama-cli -hf kaisser/LLM-Maroc:BF16
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 kaisser/LLM-Maroc:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf kaisser/LLM-Maroc:BF16
Use Docker
docker model run hf.co/kaisser/LLM-Maroc:BF16
- LM Studio
- Jan
- vLLM
How to use kaisser/LLM-Maroc with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kaisser/LLM-Maroc" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kaisser/LLM-Maroc", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/kaisser/LLM-Maroc:BF16
- SGLang
How to use kaisser/LLM-Maroc 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 "kaisser/LLM-Maroc" \ --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": "kaisser/LLM-Maroc", "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 "kaisser/LLM-Maroc" \ --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": "kaisser/LLM-Maroc", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use kaisser/LLM-Maroc with Ollama:
ollama run hf.co/kaisser/LLM-Maroc:BF16
- Unsloth Studio
How to use kaisser/LLM-Maroc 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 kaisser/LLM-Maroc 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 kaisser/LLM-Maroc to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for kaisser/LLM-Maroc to start chatting
- Docker Model Runner
How to use kaisser/LLM-Maroc with Docker Model Runner:
docker model run hf.co/kaisser/LLM-Maroc:BF16
- Lemonade
How to use kaisser/LLM-Maroc with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull kaisser/LLM-Maroc:BF16
Run and chat with the model
lemonade run user.LLM-Maroc-BF16
List all available models
lemonade list
- Atomic Chat
| import { useEffect, useState } from 'react'; | |
| import StorageUtils from '../utils/storage'; | |
| import { useAppContext } from '../utils/app.context'; | |
| import { classNames } from '../utils/misc'; | |
| import daisyuiThemes from 'daisyui/theme/object'; | |
| import { THEMES } from '../Config'; | |
| import { | |
| Cog8ToothIcon, | |
| MoonIcon, | |
| Bars3Icon, | |
| } from '@heroicons/react/24/outline'; | |
| export default function Header() { | |
| const [selectedTheme, setSelectedTheme] = useState(StorageUtils.getTheme()); | |
| const { setShowSettings } = useAppContext(); | |
| const setTheme = (theme: string) => { | |
| StorageUtils.setTheme(theme); | |
| setSelectedTheme(theme); | |
| }; | |
| useEffect(() => { | |
| document.body.setAttribute('data-theme', selectedTheme); | |
| document.body.setAttribute( | |
| 'data-color-scheme', | |
| daisyuiThemes[selectedTheme]?.['color-scheme'] ?? 'auto' | |
| ); | |
| }, [selectedTheme]); | |
| return ( | |
| <div className="flex flex-row items-center pt-6 pb-6 sticky top-0 z-10 bg-base-100"> | |
| {/* open sidebar button */} | |
| <label htmlFor="toggle-drawer" className="btn btn-ghost lg:hidden"> | |
| <Bars3Icon className="h-5 w-5" /> | |
| </label> | |
| <div className="grow text-2xl font-bold ml-2">llama.cpp</div> | |
| {/* action buttons (top right) */} | |
| <div className="flex items-center"> | |
| <div | |
| className="tooltip tooltip-bottom" | |
| data-tip="Settings" | |
| onClick={() => setShowSettings(true)} | |
| > | |
| <button className="btn" aria-hidden={true}> | |
| {/* settings button */} | |
| <Cog8ToothIcon className="w-5 h-5" /> | |
| </button> | |
| </div> | |
| {/* theme controller is copied from https://daisyui.com/components/theme-controller/ */} | |
| <div className="tooltip tooltip-bottom" data-tip="Themes"> | |
| <div className="dropdown dropdown-end dropdown-bottom"> | |
| <div tabIndex={0} role="button" className="btn m-1"> | |
| <MoonIcon className="w-5 h-5" /> | |
| </div> | |
| <ul | |
| tabIndex={0} | |
| className="dropdown-content bg-base-300 rounded-box z-[1] w-52 p-2 shadow-2xl h-80 overflow-y-auto" | |
| > | |
| <li> | |
| <button | |
| className={classNames({ | |
| 'btn btn-sm btn-block btn-ghost justify-start': true, | |
| 'btn-active': selectedTheme === 'auto', | |
| })} | |
| onClick={() => setTheme('auto')} | |
| > | |
| auto | |
| </button> | |
| </li> | |
| {THEMES.map((theme) => ( | |
| <li key={theme}> | |
| <input | |
| type="radio" | |
| name="theme-dropdown" | |
| className="theme-controller btn btn-sm btn-block btn-ghost justify-start" | |
| aria-label={theme} | |
| value={theme} | |
| checked={selectedTheme === theme} | |
| onChange={(e) => e.target.checked && setTheme(theme)} | |
| /> | |
| </li> | |
| ))} | |
| </ul> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| ); | |
| } | |