mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-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/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-14 23:53:17 +08:00
commit 871aa7541d
14 changed files with 154 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
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8fd6118955063c6d5281d9feccc6f534fbe57d3ca58aaf152a00c3f9e8263480
size 902183008

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:33942c655f91c91aeb87ed5806ad06d597fa640284a0502405bbba1a4d9aebb4
size 676304992

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2481986611ca762be16b99c600ca3ceeb1867f1396a4959a00d9768dd72e4a94
size 880162912

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2289bf5d6acb2d17e0ee05a02345956b8db4254cfad9c86e0323bcc7d05d6723
size 824178784

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:48cd7c12447b45db9e44ba148d1febb47d65688cae9ab169155c7e0060e0e2b7
size 760944736

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5a806d1aa41941611951cb70f7515c930793b4ffd1d4e99d94bc726474ddc188
size 986048608

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:66785ef37d65fa0ed5bd8d49ea7f7cc4c485a20ddbe6cbbb6b08600b6b0ac936
size 940312672

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3ce9e877163fc085120393b36cd4c776736ea85550ab5d0900db0a00a7dccc96
size 1125050464

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:673d3bdc5884b554cef4d0bf17fae86be065a2b1403f560f8c0e4f2689def8bc
size 1098729568

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f30414ef3fae14cf897a40d6b8ada70778009ef2aa5ced6dc29bd43e9712012b
size 1272739936

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ef52641f10eaf3ae60a9821d6aa249296b12a37200f60f5db1e2c5ff90b8450b
size 1646573152

3
Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:79b628a15bd589b64ac916be33cf6c4b09faa06ee6aa2333d8611406d34a045e
size 3093669472

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: Malikeh1375/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
---
## 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/Malikeh1375/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-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/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q2_K.gguf) | Q2_K | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q3_K_S.gguf) | Q3_K_S | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q3_K_L.gguf) | Q3_K_L | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.IQ4_XS.gguf) | IQ4_XS | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q5_K_S.gguf) | Q5_K_S | 1.2 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q5_K_M.gguf) | Q5_K_M | 1.2 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q6_K.gguf) | Q6_K | 1.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters-GGUF/resolve/main/Qwen2.5-1.5B-QandA-and-Logical-Reasoning-Distilled-8Clusters.f16.gguf) | f16 | 3.2 | 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 -->