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horiuchinobuyuki/Qwick-3.5-9B-MLX-4bit
Qwick-3.5-9B-MLX-4bit is a text generation model from horiuchinobuyuki. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as apache-2.0.
MLX 4-bit quantization of horiuchinobuyuki/Qwick-3.5-9B for Apple Silicon Macs. Text generation only; the vision tower is not included in this MLX build.
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From the Hugging Face model README
MLX 4-bit quantization of horiuchinobuyuki/Qwick-3.5-9B for Apple Silicon Macs. Text generation only; the vision tower is not included in this MLX build.
Qwick-3.5-9B fine-tunes Qwen3.5-9B for shorter reasoning at comparable quality. See the base model card for the motivation, full benchmark table, and provenance.
pip install mlx-lm
mlx_lm.generate --model horiuchinobuyuki/Qwick-3.5-9B-MLX-4bit \
--prompt "Explain why the harmonic series diverges." --max-tokens 512
from mlx_lm import load, generate
model, tokenizer = load("horiuchinobuyuki/Qwick-3.5-9B-MLX-4bit")
messages = [{"role": "user", "content": "Explain why the harmonic series diverges."}]
prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True)
print(generate(model, tokenizer, prompt=prompt, max_tokens=512))
Converted from the BF16 checkpoint horiuchinobuyuki/Qwick-3.5-9B with mlx-lm 0.31.3:
mlx_lm.convert --hf-path horiuchinobuyuki/Qwick-3.5-9B \
-q --q-bits 4 --q-group-size 64
Affine quantization, group size 64, about 4.5 bits per weight. For higher quality at a larger size, see Qwick-3.5-9B-MLX-8bit.
Apache-2.0, same as the base model. Derived from Qwen/Qwen3.5-9B (Apache-2.0). See the base model card for attribution and citation.