初始化项目，由ModelHub XC社区提供模型

Model: ahmedandaloes/security-llama3.2-3b-MLX-bf16
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+tags:
+- security
+- cybersecurity
+- mlx
+- mlx-bf16
+base_model: viettelsecurity-ai/security-llama3.2-3b
+base_model_relation: quantized
+pipeline_tag: text-generation
+library_name: mlx
+quantized_by: ahmedandaloes
+---
+
+# security-llama3.2-3b — MLX bf16
+
+Full-precision (bf16) [MLX](https://github.com/ml-explore/mlx) build of
+[**viettelsecurity-ai/security-llama3.2-3b**](https://huggingface.co/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](https://huggingface.co/ahmedandaloes/security-llama3.2-3b-MLX-4bit) |
+| [MLX-6bit](https://huggingface.co/ahmedandaloes/security-llama3.2-3b-MLX-6bit) |
+| [MLX-8bit](https://huggingface.co/ahmedandaloes/security-llama3.2-3b-MLX-8bit) |
+| [MLX-bf16](https://huggingface.co/ahmedandaloes/security-llama3.2-3b-MLX-bf16) |
+
+GGUF builds: [prithivMLmods/Security-Llama3.2-3B-GGUF](https://huggingface.co/prithivMLmods/Security-Llama3.2-3B-GGUF).
+
+## Usage
+```bash
+pip install mlx-lm
+```
+```python
+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](https://huggingface.co/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.