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mrtoots/unsloth-Qwen3-235B-A22B-Instruct-2507-mlx-4Bit
unsloth-Qwen3-235B-A22B-Instruct-2507-mlx-4Bit is a text generation model from mrtoots. 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 mrtoots/unsloth-Qwen3-235B-A22B-Instruct-2507-mlx-4Bit was converted to MLX format from unsloth/Qwen3-235B-A22B-Instruct-2507 using mlx-lm version 0.26.4.
Downloads · 30 days
31
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.safetensors132 GB · 100%
How the weights are stored.
U32235B · 100%
From the Hugging Face model README
The Model mrtoots/unsloth-Qwen3-235B-A22B-Instruct-2507-mlx-4Bit was converted to MLX format from unsloth/Qwen3-235B-A22B-Instruct-2507 using mlx-lm version 0.26.4.
This model was converted and quantized utilizing unsloth's version of Qwen3-235B-A22B-Instruct-2507. Should include the chat template fixes.
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pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mrtoots/Qwen3-235B-A22B-Instruct-2507-mlx-4Bit")
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)