metadata
license: llama3.1
language:
- en
base_model: SicariusSicariiStuff/Assistant_Pepe_8B
datasets:
- SicariusSicariiStuff/UBW_Tapestries
widget:
- text: Assistant_Pepe_8B
output:
url: >-
https://huggingface.co/SicariusSicariiStuff/Assistant_Pepe_8B/resolve/main/Images/Assistant_Pepe_8B.png
tags:
- mlx
ailexleon/Assistant_Pepe_8B-mlx-4Bit
The Model ailexleon/Assistant_Pepe_8B-mlx-4Bit was converted to MLX format from SicariusSicariiStuff/Assistant_Pepe_8B using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ailexleon/Assistant_Pepe_8B-mlx-4Bit")
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)