The algorithm’s small footprint allows it to run on devices such as consumer laptops that have relatively limited processing power. According to Hugging Face, it could potentially run in browsers as well. The latter feature is facilitated by the model’s support for WebGPU, a technology that ...
Hugging Face 近期发布了两款名为 SmolVLM-256M 和 SmolVLM-500M 的新型视觉语言模型 (VLM),它们的参数量分别为 2.56 亿和 5 亿,是同类模型中最小的,却能在内存不到 1GB 的笔记本电脑上高效运行。1 这两款模型能够处理多种多模态任务,例如图像描述、文本问答和基本视觉推理。1 SmolVLM 的发布标志着 AI ...
Hugging Face的Idefics2-8b模型代表了多模态人工智能领域的重大进步,能够处理图像和文本输入以生成文本输出。该模型以其增强的OCR、文档理解和视觉推理能力而备受关注。由备受尊重的Hugging Face团队开发,建立在Google和Mistral AI的母模型基础上,确保了稳健可靠的架构。拥有80亿参数的Idefics2-8b被设计用于针对特定用例进...
"From a model scalability perspective, you can start from the smallest of models and scale to the largest of models with incredible efficiency and performance," he continued. The benefit for enterprises Hugging Face and Google Cloud are not the only players benefiting from the partnership. For e...
Hugging Face's new SmolVLM models run on smartphones, outperform larger systems and slash computing costs by 300X.
weights (in Hugging Face format) instead of Llama 2 7B weights. These two models are almost identical, the biggest difference being the model dimension (the smallest Llama 3 model has 8B parameters, whereas the smallest Llama 2 has 7B), which enables this tutorial to wor...
How to Trainand Fine-Tune GPT-2withHugging Face TransformersTrainer? GPT models are trained in an unsupervised way on a large amount of text (ortext corpus). The corpus is broken into sequences, usually of uniform size (e.g., 1024 tokens each). The model is trained...
The Whisper checkpoints come in five configurations of varying model sizes. The smallest four are trained on either English-only or multilingual data. The largest checkpoints are multilingual only. All 11 of the pre-trained checkpoints are available on the Hugging Face Hub. The chec...
In addition to evaluation metrics, to enable qualitative analyses of the results, we also share a sample of generations produced by the model, available here. A glance at the results so far We are currently in the process of evaluating a very large number of models from the ...
\ --nn-preload default:GGML:AUTO:llava-v1.5-7b-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template vicuna-llava \ --ctx-size 4096 \ --llava-mmproj llava-v1.5-7b-mmproj-model-f16.gguf \ --model-name llava-v1.5 Quantized GGUF Models NameQuant methodBitsSizeUse case ...