Toots' MLX Quants
Collection
Various MLX quants for testing on Mac systems.
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3 items
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Updated
The Model huggingtoots/Wayfarer_Eris_Noctis-12B-mlx-6Bit was converted to MLX format from Nitral-AI/Wayfarer_Eris_Noctis-12B using mlx-lm version 0.22.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("huggingtoots/Wayfarer_Eris_Noctis-12B-mlx-6Bit")
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
Nitral-AI/Wayfarer_Eris_Noctis-12B