Downloads · 30 days
1.9K
4% of all-time downloads
lmstudio-community/Llama-4-Scout-17B-16E-MLX-text-8bit
Llama-4-Scout-17B-16E-MLX-text-8bit is a text generation model from lmstudio-community. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as other.
This model lmstudio-community/meta-llama-Llama-4-Scout-17B-16E-MLX-text-8bit was converted to MLX format from meta-llama/Llama-4-Scout-17B-16E-Instruct using mlx-lm version 0.22.4.
Downloads · 30 days
1.9K
4% of all-time downloads
All-time downloads
41.7K
Public
Parameters
108B
115 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors115 GB · 100%
How the weights are stored.
U32108B · 100%
From the Hugging Face model README
This model lmstudio-community/meta-llama-Llama-4-Scout-17B-16E-MLX-text-8bit was converted to MLX format from meta-llama/Llama-4-Scout-17B-16E-Instruct using mlx-lm version 0.22.4.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("lmstudio-community/meta-llama-Llama-4-Scout-17B-16E-MLX-text-8bit")
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)