Downloads · 30 days
15
4% of all-time downloads
mlx-community/Phi-lthy4-mlx-8Bit
Phi-lthy4-mlx-8Bit is a machine learning model from mlx-community. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as mit.
The Model mlx-community/Phi-lthy4-mlx-8Bit was converted to MLX format from SicariusSicariiStuff/Phi-lthy4 using mlx-lm version 0.22.3.
Downloads · 30 days
15
4% of all-time downloads
All-time downloads
337
Public
Parameters
11.9B
12.7 GB on disk
Likes
2
Public
Click a slice to open those files.
.safetensors12.7 GB · 100%
How the weights are stored.
U3211.9B · 100%
From the Hugging Face model README
The Model mlx-community/Phi-lthy4-mlx-8Bit was converted to MLX format from SicariusSicariiStuff/Phi-lthy4 using mlx-lm version 0.22.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Phi-lthy4-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)