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Vmake Labs Video Enhancer
-Vmake Labs Video Enhancer uses AI to improve video quality, restore details, reduce blur, and upscale videos to 8K.
Run them directly with
nexa-sdk
installed
In nexa-sdk CLI:
NexaAI/Qwen2.5-VL-7B-Instruct-4bit-MLX
Overview
In the past five months since Qwen2-VL’s release, numerous developers have built new models on the Qwen2-VL vision-language models, providing us with valuable feedback. During this period, we focused on building more useful vision-language models. Today, we are excited to introduce the latest addition to the Qwen family: Qwen2.5-VL.
Key Enhancements:
Understand things visually
: Qwen2.5-VL is not only proficient in recognizing common objects such as flowers, birds, fish, and insects, but it is highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Being agentic
: Qwen2.5-VL directly plays as a visual agent that can reason and dynamically direct tools, which is capable of computer use and phone use.
Understanding long videos and capturing events
: Qwen2.5-VL can comprehend videos of over 1 hour, and this time it has a new ability of cpaturing event by pinpointing the relevant video segments.
Capable of visual localization in different formats
: Qwen2.5-VL can accurately localize objects in an image by generating bounding boxes or points, and it can provide stable JSON outputs for coordinates and attributes.
Generating structured outputs
: for data like scans of invoices, forms, tables, etc. Qwen2.5-VL supports structured outputs of their contents, benefiting usages in finance, commerce, etc.
Qwen2.5-VL-7B-Instruct-4bit-MLX huggingface.co is an AI model on huggingface.co that provides Qwen2.5-VL-7B-Instruct-4bit-MLX's model effect (), which can be used instantly with this NexaAI Qwen2.5-VL-7B-Instruct-4bit-MLX model. huggingface.co supports a free trial of the Qwen2.5-VL-7B-Instruct-4bit-MLX model, and also provides paid use of the Qwen2.5-VL-7B-Instruct-4bit-MLX. Support call Qwen2.5-VL-7B-Instruct-4bit-MLX model through api, including Node.js, Python, http.
Qwen2.5-VL-7B-Instruct-4bit-MLX huggingface.co is an online trial and call api platform, which integrates Qwen2.5-VL-7B-Instruct-4bit-MLX's modeling effects, including api services, and provides a free online trial of Qwen2.5-VL-7B-Instruct-4bit-MLX, you can try Qwen2.5-VL-7B-Instruct-4bit-MLX online for free by clicking the link below.
NexaAI Qwen2.5-VL-7B-Instruct-4bit-MLX online free url in huggingface.co:
Qwen2.5-VL-7B-Instruct-4bit-MLX is an open source model from GitHub that offers a free installation service, and any user can find Qwen2.5-VL-7B-Instruct-4bit-MLX on GitHub to install. At the same time, huggingface.co provides the effect of Qwen2.5-VL-7B-Instruct-4bit-MLX install, users can directly use Qwen2.5-VL-7B-Instruct-4bit-MLX installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
Qwen2.5-VL-7B-Instruct-4bit-MLX install url in huggingface.co: