metadata
library_name: transformers
model_name: Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it
base_model: Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it
language:
- ru
- en
license: other
license_name: yandexgpt-5-lite-8b-pretrain
license_link: LICENSE
tags:
- mlx
Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it_MLX-8bit
The Model Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it_MLX-8bit was converted to MLX format from Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it using mlx-lm version 0.21.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Vikhrmodels/Vikhr-YandexGPT-5-Lite-8B-it_MLX-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)