metadata
library_name: transformers
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
- llama-3
- pytorch
- mlx
- mlx-my-repo
base_model: nvidia/Llama-3_3-Nemotron-Super-49B-v1_5
LogicBombaklot/Llama-3_3-Nemotron-Super-49B-v1_5-mlx-8Bit
The Model LogicBombaklot/Llama-3_3-Nemotron-Super-49B-v1_5-mlx-8Bit was converted to MLX format from nvidia/Llama-3_3-Nemotron-Super-49B-v1_5 using mlx-lm version 0.26.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("LogicBombaklot/Llama-3_3-Nemotron-Super-49B-v1_5-mlx-8Bit")
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)