mradermacher/DynaGuard-1.7B-GGUF
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: mradermacher/DynaGuard-1.7B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-30 23:57:18 +08:00
commit b1359ddb8b
14 changed files with 164 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

47
.gitattributes vendored Normal file
View File

@@ -0,0 +1,47 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bz2 filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.ftz filter=lfs diff=lfs merge=lfs -text
*.gz filter=lfs diff=lfs merge=lfs -text
*.h5 filter=lfs diff=lfs merge=lfs -text
*.joblib filter=lfs diff=lfs merge=lfs -text
*.lfs.* filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.onnx filter=lfs diff=lfs merge=lfs -text
*.ot filter=lfs diff=lfs merge=lfs -text
*.parquet filter=lfs diff=lfs merge=lfs -text
*.pb filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
*.safetensors filter=lfs diff=lfs merge=lfs -text
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.tar.* filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.tflite filter=lfs diff=lfs merge=lfs -text
*.tgz filter=lfs diff=lfs merge=lfs -text
*.wasm filter=lfs diff=lfs merge=lfs -text
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
DynaGuard-1.7B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
DynaGuard-1.7B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0b857820e2935707d328076098053474a474f78a9aba30db3bad267425d66266
size 1181588448

3
DynaGuard-1.7B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c05ba0e30208aa2aac71d94191b798d449ccdaf0f6d67f935ebf8b0fa97b5515
size 879897568

3
DynaGuard-1.7B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:edaac5195695a8de31c4c173c1463a165dac2af937c9ac7cf76d8ec92a5f8759
size 1137206240

3
DynaGuard-1.7B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:268eb2586288a64150c35a224aeee72983194b1ac862619b70ee9211a946c00f
size 1073243104

3
DynaGuard-1.7B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d9fb00b5a8e255eafe47626f05bc65f1c43533f1cf68c18c1e16aa447f588b97
size 1000956896

3
DynaGuard-1.7B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:122bd8c76fba7df33328960602dbec4c0c372e8b41bd354048abf7cc4ad638e6
size 1282440160

3
DynaGuard-1.7B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:623200d9989f07214137f88b4bb887e9c6d4d9905ca4c74e720cbcb6e24966df
size 1235221472

3
DynaGuard-1.7B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e2dad9695507a0ef13a045ff671a5f139b1a55fea73f031a542f9c4bb08d7696
size 1471806432

3
DynaGuard-1.7B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c9d6293e0895be9ad5d0153949a44d3b2f0cf667668ec845bb4242ac4a4853fa
size 1444510688

3
DynaGuard-1.7B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:315d77e4e2a2c53c3b9b77639581da4f42fe5acbeed350b515c6362e4ab8290e
size 1673008096

3
DynaGuard-1.7B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ee8d3e81d9a2c2b56e46005b700589aaf51742384a808c6065ee1829ccfb25e8
size 2165040096

3
DynaGuard-1.7B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fa0c1d63828922220eb4b4c1e994f0bfcd2db6ed4d4dcaeb4c993b139c4d07b9
size 4069680096

81
README.md Normal file
View File

@@ -0,0 +1,81 @@
---
base_model: tomg-group-umd/DynaGuard-1.7B
datasets:
- tomg-group-umd/DynaBench
language: en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- guardrail
- safety
- moderation
- dynaguard
- umd
- qwen3
- llm
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static quants of https://huggingface.co/tomg-group-umd/DynaGuard-1.7B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#DynaGuard-1.7B-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/DynaGuard-1.7B-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q2_K.gguf) | Q2_K | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q3_K_S.gguf) | Q3_K_S | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q3_K_M.gguf) | Q3_K_M | 1.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q3_K_L.gguf) | Q3_K_L | 1.2 | |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.IQ4_XS.gguf) | IQ4_XS | 1.3 | |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q4_K_S.gguf) | Q4_K_S | 1.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q4_K_M.gguf) | Q4_K_M | 1.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q5_K_S.gguf) | Q5_K_S | 1.5 | |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q5_K_M.gguf) | Q5_K_M | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q6_K.gguf) | Q6_K | 1.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.Q8_0.gguf) | Q8_0 | 2.3 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/DynaGuard-1.7B-GGUF/resolve/main/DynaGuard-1.7B.f16.gguf) | f16 | 4.2 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->