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Wwayu/Qwen3-30B-A3B-ArliAI-RpR-v4-Fast-mlx-8Bit
Qwen3-30B-A3B-ArliAI-RpR-v4-Fast-mlx-8Bit is a text generation model from Wwayu. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
The Model Wwayu/Qwen3-30B-A3B-ArliAI-RpR-v4-Fast-mlx-8Bit was converted to MLX format from ArliAI/Qwen3-30B-A3B-ArliAI-RpR-v4-Fast using mlx-lm version 0.26.4.
Downloads · 30 days
51
9% of all-time downloads
All-time downloads
565
Public
Parameters
30.5B
32.5 GB on disk
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Public
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.safetensors32.4 GB · 100%
How the weights are stored.
U3230.5B · 100%
From the Hugging Face model README
The Model Wwayu/Qwen3-30B-A3B-ArliAI-RpR-v4-Fast-mlx-8Bit was converted to MLX format from ArliAI/Qwen3-30B-A3B-ArliAI-RpR-v4-Fast using mlx-lm version 0.26.4.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/Qwen3-30B-A3B-ArliAI-RpR-v4-Fast-mlx-8Bit")
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)