Toots' MLX Quants
Collection
Various MLX quants for testing on Mac systems.
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20 items
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Updated
The Model huggingtoots/unsloth-DeepSeek-V3.1-MLX-2Bit was converted to MLX format from unsloth/DeepSeek-V3.1 using mlx-lm version 0.26.4.
This model was converted and quantized utilizing unsloth's version of DeepSeek-V3.1.
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pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("huggingtoots/DeepSeek-V3.1-mlx-2Bit")
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)