mradermacher/AceQwen2.5-1.5B-Sce-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/AceQwen2.5-1.5B-Sce-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-08-17 12:23:16 +08:00
commit 90dcfef446
14 changed files with 149 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
AceQwen2.5-1.5B-Sce.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
AceQwen2.5-1.5B-Sce.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
AceQwen2.5-1.5B-Sce.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fbbc4cffdfb5faa3ba58746332d9bd8691b2ef2bd2bf96ace0a1ee881ff258cf
size 1026163552

3
AceQwen2.5-1.5B-Sce.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:db6598edca246fa48adf67b0b451e70e98671a2c921c0acb4eb9fd984719d336
size 752881504

3
AceQwen2.5-1.5B-Sce.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f12a419350f4015820e5ecf35c3eba3853ea80935dae7679e788476fd2afcdd3
size 980441440

3
AceQwen2.5-1.5B-Sce.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a5fd2e56e96ab427ab8afca823f27149e17d7d7d85d542d48dafe29307c2c7a2
size 924457312

3
AceQwen2.5-1.5B-Sce.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:919ae02cda3d553c50d37789844c5bd6e48cd836baa44e7516812464134efec9
size 861223264

3
AceQwen2.5-1.5B-Sce.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:038a42a3f872131b9041cf1a4874d6b1d5db6aaa3a4a892710562c9258830318
size 1117322080

3
AceQwen2.5-1.5B-Sce.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:930d39034141119dff70261d6f080ff263f37c5cfe3c5604dd7ba94839f829db
size 1071586144

3
AceQwen2.5-1.5B-Sce.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e7361c80a70a67086264a9f9d7bd270ddbe5352d374f52585357710e706c7360
size 1285495648

3
AceQwen2.5-1.5B-Sce.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2064f91032fda17abaf13f956b153fcffbc71b58070e1b6001120d93a703f98b
size 1259174752

3
AceQwen2.5-1.5B-Sce.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c68e4c7f9d3018874983026adfbd47769dfd16b578da06e7c7989558f3da9f8c
size 1464180064

3
AceQwen2.5-1.5B-Sce.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f9068f9c4ea9ee52d473dfde19532e6bb17120dd156a70b77b05607c7a159c8e
size 1894533472

3
AceQwen2.5-1.5B-Sce.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cd9d5f2f8e879a55e107b9c4415c7034269eb942d91751e354f37a1d00940e90
size 3560417632

66
README.md Normal file
View File

@@ -0,0 +1,66 @@
---
base_model: bunnycore/AceQwen2.5-1.5B-Sce
language:
- en
library_name: transformers
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/bunnycore/AceQwen2.5-1.5B-Sce
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-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/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q2_K.gguf) | Q2_K | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q3_K_S.gguf) | Q3_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q3_K_M.gguf) | Q3_K_M | 1.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q3_K_L.gguf) | Q3_K_L | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.IQ4_XS.gguf) | IQ4_XS | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q4_K_S.gguf) | Q4_K_S | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q4_K_M.gguf) | Q4_K_M | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q5_K_S.gguf) | Q5_K_S | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q5_K_M.gguf) | Q5_K_M | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q6_K.gguf) | Q6_K | 1.6 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.Q8_0.gguf) | Q8_0 | 2.0 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/AceQwen2.5-1.5B-Sce-GGUF/resolve/main/AceQwen2.5-1.5B-Sce.f16.gguf) | f16 | 3.7 | 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 -->