N8python

from mlx_lm import load
import mlx.core as mx
from mlx.utils import tree_flatten, tree_map, tree_unflatten
import numpy as np
# Copyright © 2023-2024 Apple Inc.

import contextlib
import copy
import glob
import importlib

awni

import os
import mlx.core as mx
from mlx_lm import load, generate

filename = os.path.join(os.path.dirname(mx.__file__), "core/__init__.pyi")
with open(filename, 'r') as fid:
    prompt = fid.read()
prompt += "\nHow do you write a self-attention layer using the above API in MLX?"

model, tokenizer = load("mlx-community/meta-Llama-3.1-8B-Instruct-4bit")

philipturner

//
//  main.swift
//  UnifiedGEMMKernel
//
//  Created by Philip Turner on 5/29/24.
//

import Metal
#if os(macOS)
import IOKit