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language:
- en
library_name: mlx
tags:
- facebook
- meta
- pytorch
- mobilellm
- mlx
base_model: facebook/MobileLLM-R1-950M
pipeline_tag: text-generation
robbiemu/MobileLLM-R1-950M-mlx-fp16
This model robbiemu/MobileLLM-R1-950M-mlx-fp16 was converted to MLX format from facebook/MobileLLM-R1-950M using mlx-lm version 0.27.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("robbiemu/MobileLLM-R1-950M-mlx-fp16")
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)