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DeepSeek-Coder-V2-Lite-Instruct-4bit
mlx-community/DeepSeek-Coder-V2-Lite-Instruct-4bit
DeepSeek-Coder-V2-Lite-Instruct-4bit is a machine learning model from mlx-community. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as other.
The Model mlx-community/DeepSeek-Coder-V2-Lite-Instruct-4bit was converted to MLX format from deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct using mlx-lm version 0.24.1.
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15.7B
8.8 GB on disk
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2
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.safetensors8.8 GB · 100%
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How the weights are stored.
U3215.7B · 100%
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Model card
From the Hugging Face model README
mlx-community/DeepSeek-Coder-V2-Lite-Instruct-4bit
The Model mlx-community/DeepSeek-Coder-V2-Lite-Instruct-4bit was converted to MLX format from deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct using mlx-lm version 0.24.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-Coder-V2-Lite-Instruct-4bit")
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)
- Library
- mlx
- Type
- deepseek_v2
- License
- other
- Created
- May 24, 2025
- Updated
- May 24, 2025