mradermacher/AURORAV0.3-4B-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/AURORAV0.3-4B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-14 03:04:16 +08:00
commit 4940c40794
14 changed files with 163 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
AURORAV0.3-4B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
AURORAV0.3-4B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
AURORAV0.3-4B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:03862e1981624db0f46e4f07751f2930473d87828365c2778277714829e1bd0e
size 2075582144

3
AURORAV0.3-4B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:951258bc45f68c29764f443f97a4731cf67e0fac8f9dee54533df5d064940482
size 1416204992

3
AURORAV0.3-4B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:58e1c2c850837f9b4e6f3f1c977d9b0cd451437bcbfe012bfb88c210d2a10e0d
size 2087598272

3
AURORAV0.3-4B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dad790538885adaa75ca80488f20b9615f37da10e7cc6e853c8ad237b2dced6f
size 1955477696

3
AURORAV0.3-4B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:365788604961b03d62e8ae6bd21115bfa6683e2eff5ee4d17b17f2f69dabffcd
size 1681799360

3
AURORAV0.3-4B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:46d5b64089a10a0aab73a430d39e66b2d41086b7946fef293a47c7ef03cbcae5
size 2393233088

3
AURORAV0.3-4B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:97fc82df4dc32e1a3f2f5a37fb0c66d712d271c3f7ad72f719a72871ca819861
size 2188760768

3
AURORAV0.3-4B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0f2844d40bbfb3af12920eddc5404fc1c8c49693dc18cc0477b453c388404e00
size 2815276736

3
AURORAV0.3-4B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a4bc97863ca5299b477bbec4c783aeb507124f7804d1e205434202782b5df101
size 2641475264

3
AURORAV0.3-4B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:03fc7776fac44bf67cfaa366df460e34437f961a60ae58b7ac8c8f0e8e1ec689
size 3135853760

3
AURORAV0.3-4B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:864ff2f8e6032ad1a34089042eedb4b1d489cc4168727f9a5040f8b71d2f2e5f
size 4061223104

3
AURORAV0.3-4B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e568ba11d2be8a6164f8e715ee79c8c2ab0f00e44af45395cb7725ade86ec351
size 7643297984

80
README.md Normal file
View File

@@ -0,0 +1,80 @@
---
base_model: XeTute/AURORAV0.3-4B
language:
- en
- zh
- de
- pt
- it
- ru
- ar
- ur
- hi
library_name: transformers
license: mit
quantized_by: mradermacher
tags:
- roleplay
- roleplaying
- rp
- mathematics
- maths
- reasoning
- stem
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/XeTute/AURORAV0.3-4B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/AURORAV0.3-4B-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/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q2_K.gguf) | Q2_K | 1.5 | |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q3_K_S.gguf) | Q3_K_S | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q3_K_M.gguf) | Q3_K_M | 2.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.IQ4_XS.gguf) | IQ4_XS | 2.2 | |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q3_K_L.gguf) | Q3_K_L | 2.2 | |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q4_K_S.gguf) | Q4_K_S | 2.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q4_K_M.gguf) | Q4_K_M | 2.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q5_K_S.gguf) | Q5_K_S | 2.7 | |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q5_K_M.gguf) | Q5_K_M | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q6_K.gguf) | Q6_K | 3.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.Q8_0.gguf) | Q8_0 | 4.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/AURORAV0.3-4B-GGUF/resolve/main/AURORAV0.3-4B.f16.gguf) | f16 | 7.7 | 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 -->