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ahmedandaloes/NEXUS-Security-MLX-4bit
NEXUS-Security-MLX-4bit is a text generation model from ahmedandaloes. 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.
4-bit quantized MLX build of fableforge-ai/NEXUS-Security (Qwen2ForCausalLM, ~1.5B), for fast local inference on Apple Silicon.
Downloads · 30 days
44
22% of all-time downloads
All-time downloads
201
Public
Parameters
1.5B
880 MB on disk
Likes
1
Public
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.safetensors869 MB · 99%
How the weights are stored.
U321.5B · 100%
From the Hugging Face model README
4-bit quantized MLX build of
fableforge-ai/NEXUS-Security
(Qwen2ForCausalLM, ~1.5B), for fast local inference on Apple Silicon.
mlx-lm, mlx.Weights unchanged from the source — format + precision conversion only.
GGUF builds (llama.cpp/Ollama): King3Djbl/nexus-security-GGUF.
pip install mlx-lm
from mlx_lm import load, generate
model, tok = load("ahmedandaloes/NEXUS-Security-MLX-4bit")
msgs=[{"role":"user","content":"Name one common web vulnerability."}]
p=tok.apply_chat_template(msgs, add_generation_prompt=True)
print(generate(model, tok, prompt=p, max_tokens=256, verbose=True))
Qwen/Qwen2-1.5B