Runs On My 32GB Mac
Collection
Some smarter, and some MoEs
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73 items
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Updated
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2
This model Ring-mini-sparse-2.0-exp-qx86-mlx was converted to MLX format from inclusionAI/Ring-mini-sparse-2.0-exp using mlx-lm version 0.28.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Ring-mini-sparse-2.0-exp-qx86-mlx")
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)
Base model
inclusionAI/Ling-mini-base-2.0-20T