metadata
license: other
license_name: deepseek-license
license_link: LICENSE
library_name: mlx
tags:
- mlx
pipeline_tag: text-generation
base_model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
mlx-community/deepseek-coder-v2-lite-instruct-4bit-awq
This model mlx-community/deepseek-coder-v2-lite-instruct-4bit-awq was converted to MLX format from deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct using mlx-lm version 0.25.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/deepseek-coder-v2-lite-instruct-4bit-awq")
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)