mradermacher/DocOCR_SFT_v1_50-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/DocOCR_SFT_v1_50-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-15 19:50:16 +08:00
commit e777d45eab
14 changed files with 160 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
DocOCR_SFT_v1_50.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.f16.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DocOCR_SFT_v1_50.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
DocOCR_SFT_v1_50.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d71c5aca117683062a9c820d27499bc063c343377307deaea8416a821de2576e
size 3915995264

3
DocOCR_SFT_v1_50.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2b81ca51ddd3f8d8b62325c1e71bc3d2d2eed29339b8c378297ec59b9de10c49
size 2757318784

3
DocOCR_SFT_v1_50.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1c641967ae0a95c908fbe196bd3f4b9f75f42f98ece253ad97b7d9637a57788a
size 3601995904

3
DocOCR_SFT_v1_50.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:01098fd3861bae2426589240e6131ace7e088ffe907d2873f85a2f01b7aaf026
size 3440908416

3
DocOCR_SFT_v1_50.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5b1b82df526e6d6c2cec56c584f58e642f8efa2972c3bb9331d16ebd75b3ea5b
size 3251910784

3
DocOCR_SFT_v1_50.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:79c27368ef2f5d8340dc80390601e0b20f37b677168e03892e46652e6390d198
size 4237064320

3
DocOCR_SFT_v1_50.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e22b388f768e2ddb3386630a34cbc1047366170ee8e59d7ec2804b607f395daa
size 4102707328

3
DocOCR_SFT_v1_50.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5ebec839534c8dd5306de8922da06551ddb54159ecfba8220be861c0451a4621
size 4947998848

3
DocOCR_SFT_v1_50.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3cd09c791368a57d7132d1b6304d218941f30f9102261009ef012bb463a7d3fe
size 4869871744

3
DocOCR_SFT_v1_50.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8d69d24330cf83001303ca2de6185a97bb2c99c95c5bf99c520c3fa0d2c09244
size 5703366784

3
DocOCR_SFT_v1_50.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:754e349b5c876f965f6305a222550c2e66601b43182169a5f97828cd7e0c89c4
size 7353292928

3
DocOCR_SFT_v1_50.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ad7cf434b26eeb9133db08da73658e69164d04550af89285730baee1ae5b35b6
size 13740103808

77
README.md Normal file
View File

@@ -0,0 +1,77 @@
---
base_model: Nayana-cognitivelab/DocOCR_SFT_v1_50
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- gemma3n
---
## 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/Nayana-cognitivelab/DocOCR_SFT_v1_50
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#DocOCR_SFT_v1_50-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/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q2_K.gguf) | Q2_K | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q3_K_S.gguf) | Q3_K_S | 3.4 | |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q3_K_M.gguf) | Q3_K_M | 3.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q3_K_L.gguf) | Q3_K_L | 3.7 | |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q4_K_M.gguf) | Q4_K_M | 4.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q5_K_S.gguf) | Q5_K_S | 5.0 | |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q5_K_M.gguf) | Q5_K_M | 5.0 | |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q6_K.gguf) | Q6_K | 5.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.Q8_0.gguf) | Q8_0 | 7.5 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/DocOCR_SFT_v1_50-GGUF/resolve/main/DocOCR_SFT_v1_50.f16.gguf) | f16 | 13.8 | 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 -->