mradermacher/LogicQwen-2.5-1.5B-v0-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/LogicQwen-2.5-1.5B-v0-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-25 11:05:15 +08:00
commit 160da4c0e4
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
LogicQwen-2.5-1.5B-v0.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
LogicQwen-2.5-1.5B-v0.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
LogicQwen-2.5-1.5B-v0.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:499c6e5ece36915a4399812265c060d25ec2ddd585b969fa8efad68db35ff664
size 902183296

3
LogicQwen-2.5-1.5B-v0.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:360339d2d1ff5a94d254bba1a42e964958b6719e845d557ac0a844cc994a3e87
size 676305280

3
LogicQwen-2.5-1.5B-v0.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c689572baf5c2a919e21c376a034cc0d3aeb9784eef7765d2d89d32a37c49bf2
size 880163200

3
LogicQwen-2.5-1.5B-v0.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d0b76ad48451dd3bec11f4edd64c7354f7c0afec60db126428dee34a60346142
size 824179072

3
LogicQwen-2.5-1.5B-v0.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4ebf4b08687acc7a97379e6a60b5c0dacfe51919bc0d390a8ae303345598f5e1
size 760945024

3
LogicQwen-2.5-1.5B-v0.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:02d58a33b181744b4f3655620f8677aa5ad8baa6d8b08338138844ea6b3231b2
size 986048896

3
LogicQwen-2.5-1.5B-v0.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9ddd32d5f064233da1baf7f6f018aecc4004f2052179b4688bb9c46368f2bf05
size 940312960

3
LogicQwen-2.5-1.5B-v0.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:66a2b484040032f437f12ab4785c90933e75340bc72e628ce4548aa8630ffe3f
size 1125050752

3
LogicQwen-2.5-1.5B-v0.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b07546aff6f7836521ed69befae4625629163439d5c89b8af3646577d3c59074
size 1098729856

3
LogicQwen-2.5-1.5B-v0.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4623287eb0986650a767d287bcfec1a6dbb5d8dad0d048c564bf2485e414fb3d
size 1272740224

3
LogicQwen-2.5-1.5B-v0.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5f5cb040f06d8b642985c0b4917a3b12424c70247342394824ac0c0cca08117c
size 1646573440

3
LogicQwen-2.5-1.5B-v0.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:021f08f770ce14a4783e05c26156a5e0dd6c130b966f988234943fbfb92fe966
size 3093669760

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: nqdhocai/LogicQwen-2.5-1.5B-v0
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
- sft
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/nqdhocai/LogicQwen-2.5-1.5B-v0
<!-- 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/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q2_K.gguf) | Q2_K | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q3_K_S.gguf) | Q3_K_S | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q3_K_L.gguf) | Q3_K_L | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.IQ4_XS.gguf) | IQ4_XS | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q5_K_S.gguf) | Q5_K_S | 1.2 | |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q5_K_M.gguf) | Q5_K_M | 1.2 | |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q6_K.gguf) | Q6_K | 1.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/LogicQwen-2.5-1.5B-v0-GGUF/resolve/main/LogicQwen-2.5-1.5B-v0.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 -->