Apriel-1.5-15b-Thinker-CYBERSEC-MERGED-4bit
mlx-community/Apriel-1.5-15b-Thinker-CYBERSEC-MERGED-4bit
Text generation · mlx
4-bit Open on Hugging Face
Parameters
14B
Weights (est.)
≈ 8.1 GB
Mac memory (est.)
16 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/Apriel-1.5-15b-Thinker-CYBERSEC-MERGED-4bit --prompt "Hello"
Details
- Base model
- sainikhiljuluri2015/Apriel-1.5-15b-Thinker-CYBERSEC-MERGED (quantized)
- Vendor
- sainikhiljuluri2015
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- apache-2.0
- Downloads
- 265 in the last 30 days · 265 all time · 0 likes
- Published
- 2026-10-18 · updated 2026-10-18 (24d ago)
- Languages
- en
- Tags
- llava, cybersecurity, network-security, intrusion-detection, raft, dora, vision-language-model