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Orvena/granite-4.2-3b-MLX-4bit
granite-4.2-3b-MLX-4bit is a text generation model from Orvena. 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.
A 4-bit MLX quantization of ibm-granite/granite-4.2-3b, converted with mlx-lm 0.31.3.
Downloads · 30 days
111
19% of all-time downloads
All-time downloads
589
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2.1 GB on disk
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.safetensors2.1 GB · 100%
How the weights are stored.
U323.7B · 100%
From the Hugging Face model README
A 4-bit MLX quantization of ibm-granite/granite-4.2-3b, converted with mlx-lm 0.31.3.
pip install mlx-lm
mlx_lm.generate --model Orvena/granite-4.2-3b-MLX-4bit --prompt "Name three Danish cities."
from mlx_lm import load, generate
model, tokenizer = load("Orvena/granite-4.2-3b-MLX-4bit")
print(generate(model, tokenizer, prompt="Name three Danish cities."))
Runs on Apple silicon Macs and recent iPhones. Peak memory during generation is about 2.2 GB.
Converted by the Orvena team while evaluating models for fully on-device use. See the base model card for benchmarks, training details, and intended use.