ModelHub XC 647f813cc8 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/OpenCaption-2B-VL-SFT-v1.0-GGUF
Source: Original Platform
2026-08-10 22:05:18 +08:00

base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags
base_model datasets language library_name license mradermacher quantized_by tags
prithivMLmods/OpenCaption-2B-VL-SFT-v1.0
prithivMLmods/OpenCaption-FineGrained
prithivMLmods/SuperFlickr-30K-LARGE-Remastered
prithivMLmods/OpenCaption-UHD
prithivMLmods/OpenCaption-Unified-10K
en
transformers apache-2.0
readme_rev
1
mradermacher
text-generation-inference
vision-language
multimodal
image-captioning
visual-question-answering
conditional-generation
vision
language-model
sft
fine-grained-captioning
computer-vision
vllm

About

static quants of https://huggingface.co/prithivMLmods/OpenCaption-2B-VL-SFT-v1.0

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/OpenCaption-2B-VL-SFT-v1.0-i1-GGUF

Usage

If 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.

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 mmproj-Q8_0 0.5 multi-modal supplement
GGUF Q2_K 0.9
GGUF mmproj-f16 0.9 multi-modal supplement
GGUF Q3_K_S 1.0
GGUF Q3_K_M 1.0 lower quality
GGUF Q3_K_L 1.1
GGUF IQ4_XS 1.1
GGUF Q4_K_S 1.2 fast, recommended
GGUF Q4_K_M 1.2 fast, recommended
GGUF Q5_K_S 1.3
GGUF Q5_K_M 1.4
GGUF Q6_K 1.5 very good quality
GGUF Q8_0 1.9 fast, best quality
GGUF f16 3.5 16 bpw, overkill

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

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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.

Description
Model synced from source: mradermacher/OpenCaption-2B-VL-SFT-v1.0-GGUF
Readme 27 KiB