seeklhy/SynSQL-2.5M
Updated • 762 • 28
How to use sazak/OmniSQL-7B-4bit-mlx with MLX:
# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm
# if on a CUDA device, also pip install mlx[cuda]
# Generate text with mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("sazak/OmniSQL-7B-4bit-mlx")
prompt = "Once upon a time in"
text = generate(model, tokenizer, prompt=prompt, verbose=True)How to use sazak/OmniSQL-7B-4bit-mlx with MLX LM:
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "sazak/OmniSQL-7B-4bit-mlx" --prompt "Once upon a time"
This model sazak/OmniSQL-7B-4bit-mlx was converted to MLX format from seeklhy/OmniSQL-7B using mlx-lm version 0.26.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("sazak/OmniSQL-7B-4bit-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
Quantized
Base model
seeklhy/OmniSQL-7B
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("sazak/OmniSQL-7B-4bit-mlx") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True)