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For a convenient overview and download list, visit our model page for this model.
Source du modèle
Description de la source
static quants of https://huggingface.co/prithivMLmods/Gliese-OCR-7B-Post2.0-final
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at
Sources
1 sourceVérifié 17 sept.
Artefacts du modèle
14 artefactsGliese-OCR-7B-Post2.0-final.f16.gguf
gguf · 14,2 GB · SHA-256 4d17b1d857a8…141b · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.IQ4_XS.gguf
gguf · 3,96 GB · SHA-256 21cc56531094…57fc · Hugging Face
TéléchargerExtraits de sources
2 extraitsIf you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | mmproj-Q8_0 | 1.0 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.5 | multi-modal supplement |
| GGUF | Q2_K | 3.1 | |
| GGUF | Q3_K_S | 3.6 | |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
image.png
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.
Gliese-OCR-7B-Post2.0-final.mmproj-f16.gguf
gguf · 1,26 GB · SHA-256 a01b2fb90bde…8da6 · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.mmproj-Q8_0.gguf
gguf · 816 MB · SHA-256 c8c476e359e7…ddf6 · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q2_K.gguf
gguf · 2,81 GB · SHA-256 4fa7de541a67…c35b · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q3_K_L.gguf
gguf · 3,81 GB · SHA-256 812422572a41…7156 · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q3_K_M.gguf
gguf · 3,55 GB · SHA-256 536b7a0ff6eb…0f21 · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q3_K_S.gguf
gguf · 3,25 GB · SHA-256 538adb37c0a7…87ed · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q4_K_M.gguf
gguf · 4,36 GB · SHA-256 4e4c01e6ff50…cbc9 · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q4_K_S.gguf
gguf · 4,15 GB · SHA-256 16931eeb0395…abb7 · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q5_K_M.gguf
gguf · 5,07 GB · SHA-256 dbdcb3675764…6ccf · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q5_K_S.gguf
gguf · 4,95 GB · SHA-256 993603d8a5b5…9580 · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q6_K.gguf
gguf · 5,82 GB · SHA-256 f124306cb18c…8ba0 · Hugging Face
TéléchargerGliese-OCR-7B-Post2.0-final.Q8_0.gguf
gguf · 7,54 GB · SHA-256 d0c15ada2f3b…513a · Hugging Face
Télécharger--- base_model: prithivMLmods/Gliese-OCR-7B-Post2.0-final datasets: - prithivMLmods/OpenDoc-Pdf-Preview - prithivMLmods/Opendoc1-Analysis-Recognition - allenai/olmOCR-mix-0225 - prithivMLmods/Openpdf-Analysis-Recognition language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - text-generation-inference - Document - VLM - KIE - VL - Camel - Openpdf - Extraction - Linking - Markdown - Document Digitization - Intelligent Document Processing (IDP) - Intelligent Word Recognition (IWR) - pdf2markdown - image-to-text - ocr --- ## 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/prithivMLmods/Gliese-OCR-7B-Post2.0-final <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Gliese-OCR-7B-Post2.0-final-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gliese-OCR-7B-Post2.0-final-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/Gliese-OCR-7B-Post2.0-final-GGUF/resolve/main/Gliese-OCR-7B-Post2.0-final.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 1.0 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Gliese-OCR-7B-Post2.0-final-GGUF/resolve/main/Gliese-OCR-7B-Post2.0-final.mmproj-f16.gguf) | mmproj-f16 | 1.5 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Gliese-OCR-7B-Post2.0-final-GGUF/resolve/main/Gliese-OCR-7B-Post2.0-final.Q2_K.gguf) | Q2_K | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/Gliese-OCR-7B-Post2.0-final-GGUF/resolve/main/Gliese-OCR-7B-Post2.0-final.Q3_K_S.gguf) | Q3_K_S | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/G...
Source context: 650 downloads · 1 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Gliese-OCR-7B-Post2.0-final-GGUF
| Q3_K_M |
| 3.9 |
| lower quality |
| GGUF | Q3_K_L | 4.2 |
| GGUF | IQ4_XS | 4.4 |
| GGUF | Q4_K_S | 4.6 | fast, recommended |
| GGUF | Q4_K_M | 4.8 | fast, recommended |
| GGUF | Q5_K_S | 5.4 |
| GGUF | Q5_K_M | 5.5 |
| GGUF | Q6_K | 6.4 | very good quality |
| GGUF | Q8_0 | 8.2 | fast, best quality |
| GGUF | f16 | 15.3 | 16 bpw, overkill |
