metadata
library_name: mlx
license: other
license_name: nvidia-open-model-license
license_link: >-
https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
pipeline_tag: text-generation
language:
- en
tags:
- nvidia
- Nemotron-Cascade
- reasoning
- general-purpose
- SFT
- RL
- pytorch
- mlx
base_model: nvidia/Nemotron-Cascade-8B
leonsarmiento/Nemotron-Cascade-8B-8bit-mlx
This model leonsarmiento/Nemotron-Cascade-8B-8bit-mlx was converted to MLX format from nvidia/Nemotron-Cascade-8B using mlx-lm version 0.29.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("leonsarmiento/Nemotron-Cascade-8B-8bit-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)