Hugging Face Introduces Open-Source SmolVLM Vision …
5 days ago · Hugging Face has also open-sourced the SmolVLM vision model under the Apache 2.0 license for both personal and commercial usage. Hugging Face Introduces SmolVLM. In a blog post, Hugging Face detailed the new open-source vision model. The company called the AI model “state-of-the-art” for its efficient usage of memory and fast inference.
Hugging Face’s SmolVLM could cut AI costs for businesses by a …
Nov 27, 2024 · Hugging Face has just released SmolVLM, a compact vision-language AI model that could change how businesses use artificial intelligence across their operations. The new model processes both images ...
Hugging Face Unveils SmolVLM, Visual Language AI For the Edge
Nov 27, 2024 · What Is SmolVLM? SmolVLM closely follows the architecture used with another Hugging Face visual language model, Idefics3. However, there are a few areas where SmolVLM deviates: Instead of using Llama 3.1 8B as its language backbone, Hugging Face opted for SmolLM2 1.7B, which it introduced in early November. The company also “aggressively ...
SmolLM - blazingly fast and remarkably powerful - Hugging Face
Jul 16, 2024 · This blog post introduces SmolLM, a family of state-of-the-art small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset. It covers data curation, model evaluation, and usage.
Hugging Face announces new open-source vision language model SmolVLM …
5 days ago · Hugging Face has introduced a lightweight, open-source vision language model, SmolVLM, that the company says is built for efficiency and speed. Rohith Bhaskar , Published 12/03/2024 AI
blog/smolvlm.md at main · huggingface/blog · GitHub
This blog post introduces SmolVLM, a 2B VLM, SOTA for its memory footprint. SmolVLM is small, fast, memory-efficient, and fully open-source. All model checkpoints, VLM datasets, training recipes and tools are released under the Apache 2.0 license.
Hugging Face model SmolVLM requires a lot less compute
Nov 28, 2024 · For SmolVLM, Hugging Face significantly modified the architecture, resulting in a model that requires 5.02 GB of RAM. For example, this is significantly less than InternVL2 2B, which requires 10.52 GB of memory. This more efficient approach makes SmolVLM suitable for on-device applications, with the model continuing to deliver strong performance.
Hugging Face Releases SmolVLM: A 2B Parameter Vision …
Nov 26, 2024 · Hugging Face recently released SmolVLM, a 2B parameter vision-language model specifically designed for on-device inference. ... Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million ...
Hugging Face CEO has concerns about Chinese open source AI …
4 days ago · Hugging Face is the world’s biggest platform for AI models and a popular place for Chinese AI companies to showcase their latest LLMs. In fact, Hugging Face’s CTO announced this week that the ...
Hugging Face – Blog
Can RLHF with Preference Optimization Techniques Help LLMs Surpass GPT4-Quality Models? Share your open ML datasets on Hugging Face Hub! ... We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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