metadata
license: other
license_name: deepseek
license_link: https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL
library_name: transformers
tags:
- mlx
base_model: deepseek-ai/DeepSeek-V2.5-1210
dong-99/DeepSeek-V2.5-1210-mlx-8Bit
The Model dong-99/DeepSeek-V2.5-1210-mlx-8Bit was converted to MLX format from deepseek-ai/DeepSeek-V2.5-1210 using mlx-lm version 0.22.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("dong-99/DeepSeek-V2.5-1210-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)