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DeepSeek-Coder-V2-Lite-Base-mlx-4Bit
emanuelturis/DeepSeek-Coder-V2-Lite-Base-mlx-4Bit
DeepSeek-Coder-V2-Lite-Base-mlx-4Bit is a machine learning model from emanuelturis. 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 emanuelturis/DeepSeek-Coder-V2-Lite-Base-mlx-4Bit was converted to MLX format from deepseek-ai/DeepSeek-Coder-V2-Lite-Base using mlx-lm version 0.26.3.
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.safetensors8.8 GB · 100%
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U3215.7B · 100%
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Model card
From the Hugging Face model README
emanuelturis/DeepSeek-Coder-V2-Lite-Base-mlx-4Bit
The Model emanuelturis/DeepSeek-Coder-V2-Lite-Base-mlx-4Bit was converted to MLX format from deepseek-ai/DeepSeek-Coder-V2-Lite-Base using mlx-lm version 0.26.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("emanuelturis/DeepSeek-Coder-V2-Lite-Base-mlx-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
- Aug 22, 2025
- Updated
- Aug 22, 2025