How to use from the
Use from the
MLX library
# 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("upadhyay/sql-4bit-1k")

prompt = "Once upon a time in"
text = generate(model, tokenizer, prompt=prompt, verbose=True)

upadhyay/sql-4bit-1k

The Model upadhyay/sql-4bit-1k was converted to MLX format from mistralai/Mistral-7B-v0.1 using mlx-lm version 0.15.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("upadhyay/sql-4bit-1k")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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Model size
1B params
Tensor type
F16
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U32
·
MLX
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