metadata
license: mit
library_name: mlx
base_model: deepseek-ai/DeepSeek-V3.2
base_model_relation: finetune
tags:
- mlx
pipeline_tag: text-generation
mlx-community/DeepSeek-V3.2_bf16
This model mlx-community/DeepSeek-V3.2_bf16 was converted to MLX format from deepseek-ai/DeepSeek-V3.2 using mlx-lm version 0.28.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-V3.2_bf16")
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)