mradermacher/NuMarkdown-8B-Thinking-fork-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/NuMarkdown-8B-Thinking-fork-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-26 06:47:15 +08:00
commit d9e02804d5
16 changed files with 176 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

49
.gitattributes vendored Normal file
View File

@@ -0,0 +1,49 @@
*.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
NuMarkdown-8B-Thinking-fork.mmproj-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.mmproj-f16.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.f16.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
NuMarkdown-8B-Thinking-fork.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
NuMarkdown-8B-Thinking-fork.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3516d9841286a8082eb1125cd52647eb49ffe7a023296f46a34255733702712d
size 4250297856

3
NuMarkdown-8B-Thinking-fork.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e15ffd4afc76e3e63408ac815d10977fd988408f518049e2d1069da7e72f6cbb
size 3015939584

3
NuMarkdown-8B-Thinking-fork.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c0912b747fb5ec92770def67af87e7638b66305d137af3c095233ba64dc9c96b
size 4088458752

3
NuMarkdown-8B-Thinking-fork.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a367e3c07e8af3bc2f9255c8d695dd960abf0a32d55db3e4e596df5c3802d8f9
size 3808390656

3
NuMarkdown-8B-Thinking-fork.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:92661adcecad75f91813b6314414151a8173e78b2892382afcec6c3c4db8c8f6
size 3492367872

3
NuMarkdown-8B-Thinking-fork.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:36c796edfeacf03148b0beaea1ac4e4d568723ae5ddf534510f7f676a3834853
size 4683073024

3
NuMarkdown-8B-Thinking-fork.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e3adea6f6a49b5c675444723ab73f7704cf5aad321a30530e628ecb2afcd33d6
size 4457768448

3
NuMarkdown-8B-Thinking-fork.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6a7c96c379e648da8bc945184731105f9933a5d631268b2f471e2741e9619eb6
size 5444830720

3
NuMarkdown-8B-Thinking-fork.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ab0bf91a9695636f1ca9edd5e9130076db17cac869f20315422f3fc288c9add1
size 5315175936

3
NuMarkdown-8B-Thinking-fork.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:746f53d193195e7a83a55d817f877e26e36841c02a55cfb9dd6538a2b9d35a40
size 6254198272

3
NuMarkdown-8B-Thinking-fork.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:84cc0407b640b2ac1f8a0aab77e010bce5dcd2cfdb0824b7146c311c41dc3e4f
size 8098524672

3
NuMarkdown-8B-Thinking-fork.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c74afdb1fefedccdc6c8bd14ec246798ecf5e4b8646d3de3e656eebbb399c51e
size 15237852672

3
NuMarkdown-8B-Thinking-fork.mmproj-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f7451507f869d06df7972249b149178f627fce63fdffff7b1ac214d624e22c20
size 856130752

3
NuMarkdown-8B-Thinking-fork.mmproj-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:29eb35b8c17dcbaf2ee0c8f645f8c555797eee0d4dc60f0a5794a0a3ceec1ee3
size 1354163392

85
README.md Normal file
View File

@@ -0,0 +1,85 @@
---
base_model: chaitnya26/NuMarkdown-8B-Thinking-fork
language:
- en
library_name: transformers
license: mit
model_name: NuMarkdown-8B-Thinking
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- OCR
- vision-language
- VLM
- Reasoning
- document-to-markdown
- qwen2.5
- markdown
- extraction
- RAG
---
## 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/chaitnya26/NuMarkdown-8B-Thinking-fork
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#NuMarkdown-8B-Thinking-fork-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-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/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 1.0 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.mmproj-f16.gguf) | mmproj-f16 | 1.5 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/NuMarkdown-8B-Thinking-fork-GGUF/resolve/main/NuMarkdown-8B-Thinking-fork.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 -->