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
| name: Bug (misc.) | |
| description: Something is not working the way it should (and it's not covered by any of the above cases). | |
| title: "Misc. bug: " | |
| labels: ["bug-unconfirmed"] | |
| body: | |
| - type: markdown | |
| attributes: | |
| value: > | |
| Thanks for taking the time to fill out this bug report! | |
| This issue template is intended for miscellaneous bugs that don't fit into any other category. | |
| If you encountered the issue while using an external UI (e.g. ollama), | |
| please reproduce your issue using one of the examples/binaries in this repository. | |
| - type: textarea | |
| id: version | |
| attributes: | |
| label: Name and Version | |
| description: Which version of our software is affected? (You can use `--version` to get a version string.) | |
| placeholder: | | |
| $./llama-cli --version | |
| version: 2999 (42b4109e) | |
| built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu | |
| validations: | |
| required: true | |
| - type: dropdown | |
| id: operating-system | |
| attributes: | |
| label: Operating systems | |
| description: Which operating systems do you know to be affected? | |
| multiple: true | |
| options: | |
| - Linux | |
| - Mac | |
| - Windows | |
| - BSD | |
| - Other? (Please let us know in description) | |
| validations: | |
| required: false | |
| - type: dropdown | |
| id: module | |
| attributes: | |
| label: Which llama.cpp modules do you know to be affected? | |
| multiple: true | |
| options: | |
| - Documentation/Github | |
| - libllama (core library) | |
| - llama-cli | |
| - llama-server | |
| - llama-bench | |
| - llama-quantize | |
| - Python/Bash scripts | |
| - Test code | |
| - Other (Please specify in the next section) | |
| validations: | |
| required: false | |
| - type: textarea | |
| id: command | |
| attributes: | |
| label: Command line | |
| description: > | |
| Please provide the exact commands you entered, if applicable. For example: `llama-server -m ... -c ...`, `llama-cli -m ...`, etc. | |
| This will be automatically formatted into code, so no need for backticks. | |
| render: shell | |
| validations: | |
| required: false | |
| - type: textarea | |
| id: info | |
| attributes: | |
| label: Problem description & steps to reproduce | |
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| Please give us a summary of the problem and tell us how to reproduce it (if applicable). | |
| validations: | |
| required: true | |
| - type: textarea | |
| id: first_bad_commit | |
| attributes: | |
| label: First Bad Commit | |
| description: > | |
| If the bug was not present on an earlier version and it's not trivial to track down: when did it start appearing? | |
| If possible, please do a git bisect and identify the exact commit that introduced the bug. | |
| validations: | |
| required: false | |
| - type: textarea | |
| id: logs | |
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| label: Relevant log output | |
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