mradermacher/EDU-Qwen2.5-7B-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/EDU-Qwen2.5-7B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-09 10:15:14 +08:00
commit 2699268a5f
14 changed files with 146 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
EDU-Qwen2.5-7B.f16.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EDU-Qwen2.5-7B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
EDU-Qwen2.5-7B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a8d2a0c3165c4cd8bbdaf0dee87d34fd289c90b9e35ab765ab3ef6f0fef36eac
size 4250298656

3
EDU-Qwen2.5-7B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f969540044ad8239d946cf18d344d7699e8c15d4e91d3e24e8b24360d28fe3e1
size 3015940384

3
EDU-Qwen2.5-7B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:74065ff9cadfd77193dabdf4f46ed59c245cce060553563b393cb756333062ef
size 4088459552

3
EDU-Qwen2.5-7B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ba0a3e5eefe73ff877affc1d58f98798b667d3ac3ad20cc4ca692e71bcfe8be3
size 3808391456

3
EDU-Qwen2.5-7B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b4505651c02506f8bf5c22b8529fd382bfba591f669e821eff22214de0f9ce2c
size 3492368672

3
EDU-Qwen2.5-7B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ff02c2f4c817123c973d95c2bc32975951ae2a6cbfdf3cf3a35946016b9fadf1
size 4683073824

3
EDU-Qwen2.5-7B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:773329e46c4a063685acf7309a568a5be229b6e8a47a13a64cd485ed59593e08
size 4457769248

3
EDU-Qwen2.5-7B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1027b0322ad0c887846cd17dfa3f5ac59ae92b92b618a7368674f31e12be3c82
size 5444831520

3
EDU-Qwen2.5-7B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a64a4247225e3e6c0028b8734c96041ee7fa2d91ca5b08e2a1f057ed8e6387ec
size 5315176736

3
EDU-Qwen2.5-7B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:476a211266b898ce61e505147c8c7247b4a914c2707ed0660da071be3373f39c
size 6254199072

3
EDU-Qwen2.5-7B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:53f4c35bd79c337809b551d314db55bea028ce771e3b6306cb1f8f7fb8ed43e2
size 8098525472

3
EDU-Qwen2.5-7B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ec41ed390901136abbc9494232081f3912633400f8a8b196f6fd800210924238
size 15237853472

63
README.md Normal file
View File

@@ -0,0 +1,63 @@
---
base_model: DirectionAI/EDU-Qwen2.5-7B
language:
- en
library_name: transformers
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/DirectionAI/EDU-Qwen2.5-7B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-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/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/EDU-Qwen2.5-7B-GGUF/resolve/main/EDU-Qwen2.5-7B.f16.gguf) | f16 | 15.3 | 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 -->