metadata
library_name: mlx
license: apache-2.0
language:
- tr
datasets:
- vngrs-ai/vngrs-web-corpus
base_model: vngrs-ai/Kumru-2B
pipeline_tag: text-generation
tags:
- mlx
mlx-community/Kumru-2B-4bit
This model mlx-community/Kumru-2B-4bit was converted to MLX format from vngrs-ai/Kumru-2B using mlx-lm version 0.26.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Kumru-2B-4bit")
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)