To keep the number of tokens managable in the context window, we apply dynamic tiling strategy to <=2 images. When there are >=3 images, we directly pad the images to 384*384 as inputs without tiling. The main difference between DeepSeek-VL2-Tiny, DeepSeek-VL2-Small and DeepSeek-VL...
deepseek vl2 tiny可以转onnx模型吗,按常规的torch.onnx.export方式生成的onnx架构里只有graph,对应的weight data为空。请问该模型转换是有特殊参数设置还是不能成功转换?如可转换,有没有样例?谢谢steven9046 commented Feb 18, 2025 onnx 最大 2G,你转的这个除了 graph 以外应该还是一堆 weight 文件,你要想...
from vllm import LLM llm = LLM(model="/home/cisdi/workspace/DeepSeek-VL2-main/model") # Name or path of your model An error occurred while running: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/root/miniconda3/envs/vllm/lib/python3.9/site-...
The main difference between DeepSeek-VL2-Tiny, DeepSeek-VL2-Small and DeepSeek-VL2 is the base LLM. Simple Inference Example import torch from transformers import AutoModelForCausalLM from deepseek_vl.models import DeepseekVLV2Processor, DeepseekVLV2ForCausalLM from deepseek_vl.utils.io import...
Deepseek VL2最新升级,三版本 | DeepSeek-VL2是最新发布的混合专家(MoE)视觉语言模型系列,显著提升了前代DeepSeek-VL的性能。该系列包含DeepSeek-VL2-Tiny(10亿参数)、DeepSeek-VL2-Small(28亿参数)和DeepSeek-VL2(45亿参数)三个版本。在视觉问答、光学字符识别、文档/表格/图表理解和视觉定位等任务中,Deep...
访问https://gitee.com/XmirrorSecurity/OpenSCA-cli,通过发行版(Release)下载对应系统架构最新的OpenSCA-Cli工具。 使用说明: 仅检测组件信息:opensca-cli -path ${project_path} 输出HTML 报告:opensca-cli -path ${project_path} -out report.html ...
deepseek-vl2-tiny / processor_config.json processor_config.json1.20 KB 一键复制编辑原始数据按行查看历史 Wen Liu提交于2个月前.Upload folder using huggingface_hub 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939...
model_name = "deepseek-ai/deepseek-vl2-small" model_name = "deepseek-ai/deepseek-vl2-tiny" llm = LLM(model=model_name, max_model_len=4096, 2 changes: 1 addition & 1 deletion 2 examples/offline_inference/vision_language_multi_image.py Original file line numberDiff line numberDiff li...
def run_deepseek_vl2(question: str, modality: str): assert modality == "image" model_name = "deepseek-ai/deepseek-vl2-small" model_name = "deepseek-ai/deepseek-vl2-tiny" llm = LLM(model=model_name, max_model_len=4096, 2 changes: 1 addition & 1 deletion 2 examples/offline_infe...
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