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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/ZJU-AI4H/Hulu-Med-Flash-Preview-27B
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at
Sources
1 sourceVérifié 27 août
Artefacts du modèle
13 artefactsHulu-Med-Flash-Preview-27B.IQ4_XS.gguf
gguf · 14,2 GB · SHA-256 39628aa9ec3c…e2eb · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.mmproj-f16.gguf
gguf · 885 MB · SHA-256 f5f7e550da06…886c · 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 | 0.7 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.0 | multi-modal supplement |
| GGUF | Q2_K | 10.8 | |
| GGUF | Q3_K_S | 12.2 | |
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.
Hulu-Med-Flash-Preview-27B.mmproj-Q8_0.gguf
gguf · 600 MB · SHA-256 6371bc6f3e12…fc69 · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q2_K.gguf
gguf · 9,98 GB · SHA-256 4ee7517b2c32…f39e · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q3_K_L.gguf
gguf · 13,4 GB · SHA-256 924de34686ac…1d6a · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q3_K_M.gguf
gguf · 12,4 GB · SHA-256 341d68b3cacd…68bd · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q3_K_S.gguf
gguf · 11,2 GB · SHA-256 d8e7ffe71d37…3166 · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q4_K_M.gguf
gguf · 15,4 GB · SHA-256 f00581b6829a…c8ba · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q4_K_S.gguf
gguf · 14,5 GB · SHA-256 79df1ec62b50…7b08 · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q5_K_M.gguf
gguf · 17,9 GB · SHA-256 fd23dce5ca62…bc8a · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q5_K_S.gguf
gguf · 17,4 GB · SHA-256 88abbe1d837e…a4f2 · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q6_K.gguf
gguf · 20,6 GB · SHA-256 32d0d2dc3e27…3dc2 · Hugging Face
TéléchargerHulu-Med-Flash-Preview-27B.Q8_0.gguf
gguf · 26,6 GB · SHA-256 32e88ce83ed7…8b9f · Hugging Face
Télécharger--- base_model: ZJU-AI4H/Hulu-Med-Flash-Preview-27B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - medical - multimodal - vision-language-model - image-to-text - video-understanding - 3d-understanding - qwen --- ## 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/ZJU-AI4H/Hulu-Med-Flash-Preview-27B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Hulu-Med-Flash-Preview-27B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Hulu-Med-Flash-Preview-27B-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/Hulu-Med-Flash-Preview-27B-GGUF/resolve/main/Hulu-Med-Flash-Preview-27B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-Flash-Preview-27B-GGUF/resolve/main/Hulu-Med-Flash-Preview-27B.mmproj-f16.gguf) | mmproj-f16 | 1.0 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-Flash-Preview-27B-GGUF/resolve/main/Hulu-Med-Flash-Preview-27B.Q2_K.gguf) | Q2_K | 10.8 | | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-Flash-Preview-27B-GGUF/resolve/main/Hulu-Med-Flash-Preview-27B.Q3_K_S.gguf) | Q3_K_S | 12.2 | | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-Flash-Preview-27B-GGUF/resolve/main/Hulu-Med-Flash-Preview-27B.Q3_K_M.gguf) | Q3_K_M | 13.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-Flash-Preview-27B-GGUF/resolve/main/Hulu-Med-Flash-Preview-27B.Q3_K_L.gguf) | Q3_K_L | 14.4 | | | [GGUF](https://huggingface.co/mradermacher/Hulu-...
Source context: 130 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Hulu-Med-Flash-Preview-27B-GGUF
| Q3_K_M |
| 13.4 |
| lower quality |
| GGUF | Q3_K_L | 14.4 |
| GGUF | IQ4_XS | 15.3 |
| GGUF | Q4_K_S | 15.7 | fast, recommended |
| GGUF | Q4_K_M | 16.6 | fast, recommended |
| GGUF | Q5_K_S | 18.8 |
| GGUF | Q5_K_M | 19.3 |
| GGUF | Q6_K | 22.2 | very good quality |
| GGUF | Q8_0 | 28.7 | fast, best quality |
