mradermacher/CyberSecQwen-4B-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/CyberSecQwen-4B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-26 05:54:16 +08:00
commit 8746e06cc0
14 changed files with 167 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
CyberSecQwen-4B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
CyberSecQwen-4B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
CyberSecQwen-4B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:acba912a8c61a3d4c9649b4fce654714b1542f97fa0e95c563f14ec7108b2985
size 2286313056

3
CyberSecQwen-4B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9001f8ff69abfa87c1360ccd995704193fe0a7bb4f04ff59d7e498d1b2c5d2b6
size 1669496416

3
CyberSecQwen-4B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9f302a2332116fe689ec2b539b6ff5a5c2d7884ec023a6ef670af576065c62a2
size 2239782496

3
CyberSecQwen-4B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5cb55b0ec8f7b70176079e7c1e17aba1b691a305a27aa7243ea14ea130b64d8e
size 2075614816

3
CyberSecQwen-4B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b11f09ecdac18b9e8bf71de99d3354b9a0e8425ebaa40ab03ab9ffd110d9e409
size 1886994016

3
CyberSecQwen-4B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ac6c98de9919a6891f966f87de6f6b50f7822235bf9c3ab8401ca6a897d02ecc
size 2497277536

3
CyberSecQwen-4B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5906555fa9c3287b46dbade4e5e2b24a2312a00b001aeb0d903c23568b8b1776
size 2383306336

3
CyberSecQwen-4B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0cdba2375036aff735a8bd674fb5a744913ad566ed4388ac11d6c54d043f450f
size 2889510496

3
CyberSecQwen-4B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:81253b853d6f95289219aff255bb5b9e9e140587ccc170629196637b840caae0
size 2823708256

3
CyberSecQwen-4B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b0f45f79893b7f3b7e33ff351e35bb23b9945f84d7e7a2068313666bc338886f
size 3306258016

3
CyberSecQwen-4B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fb60b0cc34e6918ab463d81a59a8e4c57347ac140fa42702c63ecf3956cb1a41
size 4280402016

3
CyberSecQwen-4B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8ff8a3b42eae2111584d12975ec9dd5702804ff73ab675b5e11fa460f2567a1a
size 8051282016

84
README.md Normal file
View File

@@ -0,0 +1,84 @@
---
base_model: lablab-ai-amd-developer-hackathon/CyberSecQwen-4B
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- cybersecurity
- cti
- cwe-classification
- vulnerability-analysis
- security
- lora
- peft
- amd
- rocm
- mi300x
- flash-attention-2
---
## 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/lablab-ai-amd-developer-hackathon/CyberSecQwen-4B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#CyberSecQwen-4B-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/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q2_K.gguf) | Q2_K | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q3_K_S.gguf) | Q3_K_S | 2.0 | |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q3_K_L.gguf) | Q3_K_L | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.IQ4_XS.gguf) | IQ4_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q5_K_S.gguf) | Q5_K_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q5_K_M.gguf) | Q5_K_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q6_K.gguf) | Q6_K | 3.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.Q8_0.gguf) | Q8_0 | 4.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/CyberSecQwen-4B-GGUF/resolve/main/CyberSecQwen-4B.f16.gguf) | f16 | 8.2 | 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 -->