Code Issues Pull requests Hacktoberfest2022 🥳- Contribute Any Project or Algorithm In Any Language😎 Every Valid PR will be accepted. Happy Contribution! javascriptpythoncjavaphpalgorithmscppbeginner-projectbeginner-friendlyhacktoberfesthacktoberdsaalgorithms-and-data-structuresbeginner-codeminiprojectha...
# 图像文件路径列表IMAGES=["/root/ld/ld_project/MiniCPM-V/assets/airplane.jpeg",# 本地图片路径]# 模型名称或路径MODEL_NAME="/root/ld/ld_model_pretrained/Minicpmv2_6"# 本地模型路径或Hugging Face模型名称 # 打开并转换图像image=Image.open(IMAGES[0]).convert("RGB")# 初始化分词器tokenizer=Au...
In the source code pane you’ll see amain.cppfile. Double-click on it to open it, and there will be a short program there that blinks an LED. If you click on Compile then the software will be built and automatically downloaded to your PC file system as a file calledmbed_m...
constants are lifted to dual numbers with a zero epsilon coefficient, and the numeric primitives are lifted to operate on dual numbers. This nonstandard interpretation is generally implemented using one of two strategies: source code transformation or operator...
发布即支持llama.cpp、ollama、vllm推理!仅 8B 参数,取得 20B 以下单图、多图、视频理解 3 SOTA成绩,一举将端侧AI多模态能力拉升至全面对标 GPT-4V 水平。更有多项功能首次上「端」:小钢炮一口气将实时视频理解、多图联合理解、多图 ICL 等能力首次搬上端侧多模态模型,更接近充斥着复杂、模糊、连续实时视觉信息...
MiniCPM-o 2.6 can be easily used in various ways: (1) llama.cpp support for efficient CPU inference on local devices, (2) int4 and GGUF format quantized models in 16 sizes, (3) vLLM support for high-throughput and memory-efficient inference, (4) fine-tuning on new domains and tasks...
函数(如ReLU)。第一个层将输入从高维特征空间降维到低维特征空间(down-project),二个层则将低维特征映射回高维特征(up-project)。 跳跃连接:适配器模块通常采用跳跃连接(skip connection),将适配器输入与输出相加。这种设计确保了即使适配器的初始参数接近零,模型仍然能够保持接近映射,从而保证训练的稳定性和...
little nudge in the right direction, so I will link a couple cppreference functions that I ended up using in my final mock up of reading user input from the serial (I would learn how to use them if you don't know how, and then figure out how to implement them to take in user ...
(1) llama.cpp support for efficient CPU inference on local devices, (2) int4 and GGUF format quantized models in 16 sizes, (3) vLLM support for high-throughput and memory-efficient inference, (4) fine-tuning on new domains and tasks with LLaMA-Factory, (5) quick local WebUI demo, ...
If you are using Mini-XML under Microsoft Windows with Visual C++, use the included project files in thevcnetsubdirectory to build the library instead. Note: The static library on Windows is NOT thread-safe. Installing Mini-XML Theinstalltarget will install Mini-XML in the lib and include di...