README.md

metadata

license: apache-2.0
language:
  - ar
  - en
pipeline_tag: text-generation
tags:
  - pytorch
  - mlx
  - mlx-my-repo
library_name: transformers
base_model: ALLaM-AI/ALLaM-7B-Instruct-preview

ahishamm/ALLaM-7B-Instruct-preview-mlx-fp16

The Model ahishamm/ALLaM-7B-Instruct-preview-mlx-fp16 was converted to MLX format from ALLaM-AI/ALLaM-7B-Instruct-preview using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("ahishamm/ALLaM-7B-Instruct-preview-mlx-fp16")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)