DynaGuard-AIO-GGUF

DynaGuard is a dynamic guardrail model framework that enables user-defined content moderation policies for generative AI, providing real-time, configurable controls on both model inputs and outputs. It employs ultralightweight, efficient models optimized for on-device or cloud deployments, allowing organizations to protect against risks like data leakage, PII exposure, toxicity, jailbreaking, and prompt injection with sub-50ms latency and minimal compute overhead. Users can create custom guardrails in natural language, tailoring moderation behaviors, targeted content categories, and downstream actions, making DynaGuard ideal for enterprise AI security, compliance, and safe application development across diverse hardware platforms.

Model Files

DynaGuard-1.7B

File Name Quant Type File Size
DynaGuard-1.7B.BF16.gguf BF16 3.45 GB
DynaGuard-1.7B.F16.gguf F16 3.45 GB
DynaGuard-1.7B.F32.gguf F32 6.89 GB
DynaGuard-1.7B.Q2_K.gguf Q2_K 778 MB
DynaGuard-1.7B.Q3_K_L.gguf Q3_K_L 1 GB
DynaGuard-1.7B.Q3_K_M.gguf Q3_K_M 940 MB
DynaGuard-1.7B.Q3_K_S.gguf Q3_K_S 867 MB
DynaGuard-1.7B.Q4_0.gguf Q4_0 1.05 GB
DynaGuard-1.7B.Q4_1.gguf Q4_1 1.14 GB
DynaGuard-1.7B.Q4_K.gguf Q4_K 1.11 GB
DynaGuard-1.7B.Q4_K_M.gguf Q4_K_M 1.11 GB
DynaGuard-1.7B.Q4_K_S.gguf Q4_K_S 1.06 GB
DynaGuard-1.7B.Q5_0.gguf Q5_0 1.23 GB
DynaGuard-1.7B.Q5_1.gguf Q5_1 1.32 GB
DynaGuard-1.7B.Q5_K.gguf Q5_K 1.26 GB
DynaGuard-1.7B.Q5_K_M.gguf Q5_K_M 1.26 GB
DynaGuard-1.7B.Q5_K_S.gguf Q5_K_S 1.23 GB
DynaGuard-1.7B.Q6_K.gguf Q6_K 1.42 GB
DynaGuard-1.7B.Q8_0.gguf Q8_0 1.83 GB

DynaGuard-4B

File Name Quant Type File Size
DynaGuard-4B.BF16.gguf BF16 8.05 GB
DynaGuard-4B.F16.gguf F16 8.05 GB
DynaGuard-4B.F32.gguf F32 16.1 GB
DynaGuard-4B.Q2_K.gguf Q2_K 1.67 GB
DynaGuard-4B.Q3_K_L.gguf Q3_K_L 2.24 GB
DynaGuard-4B.Q3_K_M.gguf Q3_K_M 2.08 GB
DynaGuard-4B.Q3_K_S.gguf Q3_K_S 1.89 GB
DynaGuard-4B.Q4_K_M.gguf Q4_K_M 2.5 GB
DynaGuard-4B.Q4_K_S.gguf Q4_K_S 2.38 GB
DynaGuard-4B.Q5_K_M.gguf Q5_K_M 2.89 GB
DynaGuard-4B.Q5_K_S.gguf Q5_K_S 2.82 GB
DynaGuard-4B.Q6_K.gguf Q6_K 3.31 GB
DynaGuard-4B.Q8_0.gguf Q8_0 4.28 GB

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

Downloads last month
3,174
GGUF
Model size
1.72B params
Architecture
qwen3
Hardware compatibility
Log In to view the estimation

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

32-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for prithivMLmods/DynaGuard-AIO-GGUF

Finetuned
Qwen/Qwen3-1.7B
Quantized
(4)
this model