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 Desktop
- 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
| # Install script for directory: /content/llama.cpp/examples/gguf | |
| # Set the install prefix | |
| if(NOT DEFINED CMAKE_INSTALL_PREFIX) | |
| set(CMAKE_INSTALL_PREFIX "/usr/local") | |
| endif() | |
| string(REGEX REPLACE "/$" "" CMAKE_INSTALL_PREFIX "${CMAKE_INSTALL_PREFIX}") | |
| # Set the install configuration name. | |
| if(NOT DEFINED CMAKE_INSTALL_CONFIG_NAME) | |
| if(BUILD_TYPE) | |
| string(REGEX REPLACE "^[^A-Za-z0-9_]+" "" | |
| CMAKE_INSTALL_CONFIG_NAME "${BUILD_TYPE}") | |
| else() | |
| set(CMAKE_INSTALL_CONFIG_NAME "Release") | |
| endif() | |
| message(STATUS "Install configuration: \"${CMAKE_INSTALL_CONFIG_NAME}\"") | |
| endif() | |
| # Set the component getting installed. | |
| if(NOT CMAKE_INSTALL_COMPONENT) | |
| if(COMPONENT) | |
| message(STATUS "Install component: \"${COMPONENT}\"") | |
| set(CMAKE_INSTALL_COMPONENT "${COMPONENT}") | |
| else() | |
| set(CMAKE_INSTALL_COMPONENT) | |
| endif() | |
| endif() | |
| # Install shared libraries without execute permission? | |
| if(NOT DEFINED CMAKE_INSTALL_SO_NO_EXE) | |
| set(CMAKE_INSTALL_SO_NO_EXE "1") | |
| endif() | |
| # Is this installation the result of a crosscompile? | |
| if(NOT DEFINED CMAKE_CROSSCOMPILING) | |
| set(CMAKE_CROSSCOMPILING "FALSE") | |
| endif() | |
| # Set path to fallback-tool for dependency-resolution. | |
| if(NOT DEFINED CMAKE_OBJDUMP) | |
| set(CMAKE_OBJDUMP "/usr/bin/objdump") | |
| endif() | |
| if(CMAKE_INSTALL_COMPONENT STREQUAL "Unspecified" OR NOT CMAKE_INSTALL_COMPONENT) | |
| if(EXISTS "$ENV{DESTDIR}${CMAKE_INSTALL_PREFIX}/bin/llama-gguf" AND | |
| NOT IS_SYMLINK "$ENV{DESTDIR}${CMAKE_INSTALL_PREFIX}/bin/llama-gguf") | |
| file(RPATH_CHECK | |
| FILE "$ENV{DESTDIR}${CMAKE_INSTALL_PREFIX}/bin/llama-gguf" | |
| RPATH "") | |
| endif() | |
| file(INSTALL DESTINATION "${CMAKE_INSTALL_PREFIX}/bin" TYPE EXECUTABLE FILES "/content/llama.cpp/build/bin/llama-gguf") | |
| if(EXISTS "$ENV{DESTDIR}${CMAKE_INSTALL_PREFIX}/bin/llama-gguf" AND | |
| NOT IS_SYMLINK "$ENV{DESTDIR}${CMAKE_INSTALL_PREFIX}/bin/llama-gguf") | |
| if(CMAKE_INSTALL_DO_STRIP) | |
| execute_process(COMMAND "/usr/bin/strip" "$ENV{DESTDIR}${CMAKE_INSTALL_PREFIX}/bin/llama-gguf") | |
| endif() | |
| endif() | |
| endif() | |
| string(REPLACE ";" "\n" CMAKE_INSTALL_MANIFEST_CONTENT | |
| "${CMAKE_INSTALL_MANIFEST_FILES}") | |
| if(CMAKE_INSTALL_LOCAL_ONLY) | |
| file(WRITE "/content/llama.cpp/build/examples/gguf/install_local_manifest.txt" | |
| "${CMAKE_INSTALL_MANIFEST_CONTENT}") | |
| endif() | |