mradermacher/AraGuard-8B-v3-en-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/AraGuard-8B-v3-en-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-04 07:50:16 +08:00
commit 1b02d1f59f
14 changed files with 155 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
AraGuard-8B-v3-en.f16.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AraGuard-8B-v3-en.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
AraGuard-8B-v3-en.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c080899919515e48b88b5fd195440953621a2d8cfbc9046c532f813123c91697
size 4484364544

3
AraGuard-8B-v3-en.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:adbc2811f486fc293e03684dddda06563311e4fa25a0b1c41798f7ac42ff3014
size 3179133184

3
AraGuard-8B-v3-en.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:23126a08170e45c6c7b1d18c45e3f23d58468c21fea4e840195da636365f4368
size 4321958144

3
AraGuard-8B-v3-en.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:369b026ecca32b0a9eef475f77511485088626c74feb3ad31a076a83594f939f
size 4018919680

3
AraGuard-8B-v3-en.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:67d4e751181c89b2d8f6c417be4deb9a1abd979f203ec39c16e36514173422bc
size 3664500992

3
AraGuard-8B-v3-en.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:390caa85e233315de08e07559fe4df1c9afa6bdab404d82475a9d06c4826e6c3
size 4920736000

3
AraGuard-8B-v3-en.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:513244870d4b934344ecb3a01796782b71d39dd24e197ef736a6e8ce531b1799
size 4692670720

3
AraGuard-8B-v3-en.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2b6e9de15a73beac7c8e7603b5843fb8e10465f2edf3a7e9248c9948bf003937
size 5732989184

3
AraGuard-8B-v3-en.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5154f5e76bcaedc662f85d555f61f5d98bfa8dd3d748795a7fd6c79b37e4bc6f
size 5599295744

3
AraGuard-8B-v3-en.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d8054820b71eeb5e25f87fedf6d94d2af6c21e26b944fa81ba2fcdb6eda7b269
size 6596008192

3
AraGuard-8B-v3-en.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:56d3539c273cfa91c1e8f3a306d049d6dae2455be488cac4053031eed818d046
size 8540772608

3
AraGuard-8B-v3-en.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e1d179d7a4e73f5151ce48022f6cdca457a95eb9edbb07ff0111397f7574e053
size 16068892928

72
README.md Normal file
View File

@@ -0,0 +1,72 @@
---
base_model: HarethahMo/AraGuard-8B-v3-en
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: []
---
## 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/HarethahMo/AraGuard-8B-v3-en
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#AraGuard-8B-v3-en-GGUF).***
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
## 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/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/AraGuard-8B-v3-en-GGUF/resolve/main/AraGuard-8B-v3-en.f16.gguf) | f16 | 16.2 | 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 -->