mradermacher/AlignXpert-PBA-Subset-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/AlignXpert-PBA-Subset-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-14 05:54:16 +08:00
commit 969f2c6500
14 changed files with 147 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
AlignXpert-PBA-Subset.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.f16.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AlignXpert-PBA-Subset.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
AlignXpert-PBA-Subset.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bec085eb6715e3cf3fc32ed5e47324e44be3faed4f43e4600cf2ee1cc121394a
size 4484367712

3
AlignXpert-PBA-Subset.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:05b8e95f1457cf15fc2387c026ca2c2482b94aabc5eccc6f6806c35404a96856
size 3179136352

3
AlignXpert-PBA-Subset.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7576edfcba6b214f5ef3914904c333b138688374f1f116a6072d931d74a19a27
size 4321961312

3
AlignXpert-PBA-Subset.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:409be5f808a93f99fd2ef9f16deb17bebfa5792206b8ae60966986b909f31d18
size 4018922848

3
AlignXpert-PBA-Subset.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a9b3d0e5eaae423d012e712d62bed727480e39604983de70cd3183adb748a833
size 3664504160

3
AlignXpert-PBA-Subset.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9842cc17c1da0a74669aa9548b3e7c4f44bbea602407e7bd2c610e74c181a3be
size 4920739168

3
AlignXpert-PBA-Subset.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ce1670aa2aff1812ce2507d949174325f71232c1123214b5d6707cf8f38e130e
size 4692673888

3
AlignXpert-PBA-Subset.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c87ecbd09f3b87d3f7f35f1af2419b0e8e06b3500cbc1af12bd164786e71e82e
size 5732992352

3
AlignXpert-PBA-Subset.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d4e9486f683b9983a63f012086480d4fc7e34b0b5da9bda810912f8e18c833fb
size 5599298912

3
AlignXpert-PBA-Subset.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:910fd3165ecd601fc0e64648c27dd247a5a9a1486cf134e1f8fdaa4321c28b27
size 6596011360

3
AlignXpert-PBA-Subset.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4a062ddd4f3b5e93a1dd0fb3b730545b57661216e3f9d23e9647ce8ab42da381
size 8540775776

3
AlignXpert-PBA-Subset.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cb813c9032443df8b1c862216f8456a0857d63a63260599f9191b90fb86462c6
size 16068896096

64
README.md Normal file
View File

@@ -0,0 +1,64 @@
---
base_model: JinaLeejnl/AlignXpert-PBA-Subset
language:
- en
library_name: transformers
license: llama3.1
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/JinaLeejnl/AlignXpert-PBA-Subset
<!-- provided-files -->
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/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/AlignXpert-PBA-Subset-GGUF/resolve/main/AlignXpert-PBA-Subset.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 -->