How to use from
MLX LMRun an OpenAI-compatible server
# Install MLX LM
uv tool install mlx-lm# Start the server
mlx_lm.server --model "ASiatras/Chios_Chatbot"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ASiatras/Chios_Chatbot",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Quick Links
Meltemi 7B Instruct (Chios dialect) — MLX 4-bit (fused)
This is an MLX-converted 4-bit Meltemi model with a Chios-dialect LoRA adapter fused in, so you can run it without specifying --adapter-path.
The training corpus was built from the pdf24_ocrPdf/ OCR PDFs and cleaned to contain only Greek / polytonic Greek letters (no Latin characters).
Usage
python -m mlx_lm chat --model YOUR_LOCAL_FOLDER_OR_HF_REPO --system-prompt "Μίλα πάντα στη χιώτικη διάλεκτο."
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Model size
1B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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4-bit
Model tree for ASiatras/Chios_Chatbot
Base model
ilsp/Meltemi-7B-Instruct-v1
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm# Interactive chat REPL mlx_lm.chat --model "ASiatras/Chios_Chatbot"