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DynaGuard-4B-NPU2
Atomic-Germ/DynaGuard-4B-NPU2
DynaGuard-4B-NPU2 is a text generation model from Atomic-Germ. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
A safety-focused Qwen3-4B fine-tune, converted to Q4NX for FastFlowLM.
All-time downloads
1.5K
Public
Repo size
3.3 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.q4nx3.3 GB · 100%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Aug 11, 2026
- Updated
- Aug 19, 2026
- SHA
- 2b590fa3
Try a prompt
Base models
Model card
From the Hugging Face model README
IF YOU USE COMMUNITY QWEN MODELS DO NOT UPGRADE TO FLM v1.0.2+
DynaGuard-4B - Q4NX for FastFlowLM (AMD Ryzen AI XDNA2)
A safety-focused Qwen3-4B fine-tune, converted to Q4NX for FastFlowLM.
What is Q4NX?
Q4NX is FastFlowLM's native packed-quantization format - a rearranged Q4_1 layout tuned for the NPU matrix engine's tile sizes and memory access patterns. It is not a GGUF file and it does not run on llama.cpp or Ollama; it is meant exclusively for the FastFlowLM engine on AMD Ryzen AI NPUs.
Requirements
- FastFlowLM >= 0.9.45 (
flmCLI) - AMD Ryzen AI processor with XDNA2 (NPU2) - Strix Point / Ryzen AI 300 series or later
- Linux with the XRT NPU stack installed
- ~16 GB of unified system memory (Q4NX weights + activations + KV cache)
FLM Bench
Tested on an AMD Ryzen AI 340 Framework 13 laptop.
| Context Length | TTFT (s) (mean ± std) | Prefill Speed (tok/s) (mean ± std) | Decoding Speed (tok/s) (mean ± std) |
|---|---|---|---|
| 1k | 2.681 ± 0.080 | 364.63 ± 10.92 | 13.20 ± 0.01 |
| 2k | 4.435 ± 0.124 | 438.85 ± 12.27 | 12.11 ± 0.38 |
| 4k | 8.306 ± 0.082 | 467.13 ± 4.65 | 11.27 ± 0.22 |
| 8k | 17.121 ± 0.001 | 452.58 ± 0.02 | 9.83 ± 0.00 |
| 16k | 41.227 ± 0.001 | 375.64 ± 0.00 | 7.58 ± 0.00 |
| 32k | 115.272 ± 0.024 | 268.61 ± 0.06 | 5.22 ± 0.00 |
Files
| File | Purpose |
|---|---|
| model.q4nx | Quantized Q4NX weights |
| config.json | FastFlowLM model configuration |
| tokenizer.json | Tokenizer |
| tokenizer_config.json | Special tokens and chat template |
| chat_template.jinja | Chat template (optional) |
| flm-add.py | Installer script - registers this model with FastFlowLM |
Install and run
This repository works with flm-add, a small installer that copies the model
into the FastFlowLM user directory and registers the tag. It never
modifies the system FastFlowLM install.
pip install flm-add or uv tool install flm-add
uv tool install flm-add
flm-add Atomic-Germ/DynaGuard-4B-NPU2 --tag dynaguard:4b --family qwen3
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run dynaguard:4b
Kernels
FastFlowLM's NPU kernels (xclbins) are closed source and are not shipped in
this repository. flm-add links the kernels of the official qwen3:4b
model (Qwen3-9B-NPU2), because this model shares the same engine family
(qwen3) and architecture.
Model
- Registry tag:
dynaguard:4b - Engine family:
qwen3 - Kernel source: Qwen3-4B-NPU2
- Context length: 262,144 tokens (from config)
model.q4nxsize: 3.3 GB- Base model: Qwen/Qwen3-4B
- License: apache-2.0
Original model card
See the upstream model card for training details, benchmarks, and upstream usage. This repository only contains the Q4NX conversion for FastFlowLM.
- Upstream card: [tomg-group-umd/DynaGuard-4B(https://huggingface.co/tomg-group-umd/DynaGuard-4B)
- Task
- Text Generation
- Type
- qwen3
- License
- apache-2.0
- Languages
- en
- Created
- Aug 11, 2026
- Updated
- Aug 19, 2026