Custom Quants
Collection
Refined and compressed
•
5 items
•
Updated
This model FR3E-7B-dwq6-mlx was converted to MLX format from FR3E-Bytedance/FR3E-7B using mlx-lm version 0.26.0.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("FR3E-7B-dwq6-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)
Base model
FR3E-Bytedance/FR3E-7B