Instructions to use vamboai/morena-0.5b-mini-gguf 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 vamboai/morena-0.5b-mini-gguf 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 vamboai/morena-0.5b-mini-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf vamboai/morena-0.5b-mini-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf vamboai/morena-0.5b-mini-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf vamboai/morena-0.5b-mini-gguf: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 vamboai/morena-0.5b-mini-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf vamboai/morena-0.5b-mini-gguf: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 vamboai/morena-0.5b-mini-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf vamboai/morena-0.5b-mini-gguf:Q4_K_M
Use Docker
docker model run hf.co/vamboai/morena-0.5b-mini-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use vamboai/morena-0.5b-mini-gguf with Ollama:
ollama run hf.co/vamboai/morena-0.5b-mini-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use vamboai/morena-0.5b-mini-gguf with Docker Model Runner:
docker model run hf.co/vamboai/morena-0.5b-mini-gguf:Q4_K_M
- Lemonade
How to use vamboai/morena-0.5b-mini-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull vamboai/morena-0.5b-mini-gguf:Q4_K_M
Run and chat with the model
lemonade run user.morena-0.5b-mini-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
MORENA 0.5B mini, GGUF for llama.cpp
GGUF conversion of vamboai/morena-0.5b-mini, verified for logit equivalence against the safetensors
weights. Read that model card first; everything in it, including the release status and the safety notes, applies unchanged. Converting the format changes none of it.
| file | size |
|---|---|
morena-0.5b-mini-Q4_K_M.gguf |
0.33 GB |
morena-0.5b-mini-Q8_0.gguf |
0.54 GB |
morena-0.5b-mini-f16.gguf |
1.01 GB |
Chat turns use the reserved tokens <reserved_0> (user) and <reserved_1> (assistant):
llama-completion -m morena-0.5b-mini-f16.gguf -p "<reserved_0>\nNdeipi guta guru reZimbabwe?\n<reserved_1>\n" -e -n 64 --temp 0
Author and citation
Isheanesu Misi, Vambo AI. Trained on CINECA Leonardo, with support from the AI Hub for Sustainable Development.
@techreport{misi2026morena,
title = {MORENA: An African Foundation Model},
author = {Misi, Isheanesu},
institution = {Vambo AI},
year = {2026},
month = {September},
note = {Released 18 September 2026}
}
Licence
Apache 2.0. Commercial use is permitted, including fine-tuning and redistributing derivatives, under the terms of the licence.
The training corpus is not released with these weights.
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