MBZUAI-Paris/Egyptian-SFT-Mixture
Viewer • Updated • 1.85M • 320 • 6
How to use Momenayad14/nile-chat-4b-mlx-q4 with MLX:
# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm
# Generate text with mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Momenayad14/nile-chat-4b-mlx-q4")
prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
text = generate(model, tokenizer, prompt=prompt, verbose=True)How to use Momenayad14/nile-chat-4b-mlx-q4 with MLX LM:
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "Momenayad14/nile-chat-4b-mlx-q4"
# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "Momenayad14/nile-chat-4b-mlx-q4"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Momenayad14/nile-chat-4b-mlx-q4",
"messages": [
{"role": "user", "content": "Hello"}
]
}'4-bit