license, language, tags, base_model, base_model_relation, pipeline_tag, library_name, quantized_by

license	language	tags	base_model	base_model_relation	pipeline_tag	library_name	quantized_by
apache-2.0	en	security cybersecurity mlx mlx-bf16	viettelsecurity-ai/security-llama3.2-3b	quantized	text-generation	mlx	ahmedandaloes

security-llama3.2-3b — MLX bf16

Full-precision (bf16) MLX build of viettelsecurity-ai/security-llama3.2-3b, for fast local inference on Apple Silicon.

• Precision: bf16 — no quantization, identical weights to source.
• Weights unchanged from source — format + precision conversion only.
• Converted with mlx-lm.

Builds

Build
MLX-4bit
MLX-6bit
MLX-8bit
MLX-bf16

GGUF builds: prithivMLmods/Security-Llama3.2-3B-GGUF.

Usage

pip install mlx-lm

from mlx_lm import load, generate
model, tok = load("ahmedandaloes/security-llama3.2-3b-MLX-bf16")
p = tok.apply_chat_template([{"role":"user","content":"Name a common web vulnerability."}], add_generation_prompt=True)
print(generate(model, tok, prompt=p, max_tokens=200, verbose=True))

Attribution

Source: viettelsecurity-ai/security-llama3.2-3b. License per source (Apache-2.0 assumed; verify). MLX build for the Apple Silicon community. For authorized security work only.