MLX Local Coder
Collection
Lightweight MLX Quants
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7 items
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Updated
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1
The Model ALYTV/DeepCoder-14B-Preview-mlx-3Bit was converted to MLX format from agentica-org/DeepCoder-14B-Preview using mlx-lm version 0.22.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ALYTV/DeepCoder-14B-Preview-mlx-3Bit")
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)
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B