🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
-
Updated
May 30, 2025 - Python
#
qwq
Here are 16 public repositories matching this topic...
Higher performance OpenAI LLM service than vLLM serve: A pure C++ high-performance OpenAI LLM service implemented with GPRS+TensorRT-LLM+Tokenizers.cpp, supporting chat and function call, AI agents, distributed multi-GPU inference, multimodal capabilities, and a Gradio chat interface.
openai multi-modal phi function-call qwq ai-agent llm llama-index chatglm internvideo tensorrt-llm qwen2 llama3 minicpm-v internvl qwen2-vl deepseek-r1 janus-pro olmocr qwen3
-
Updated
May 14, 2025 - Python
Ollama负载均衡服务器 | 一款高性能、易配置的开源负载均衡服务器，优化Ollama负载。它能够帮助您提高应用程序的可用性和响应速度，同时确保系统资源的有效利用。
embedded ai embed embeddings gpt qwq llm ollama ollama-client ollama-chat ollama-app ollama-api deepseek-r1
-
Updated
Mar 10, 2025
Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache
-
Updated
Apr 24, 2025 - Python
A user-friendly Command-line/SDK tool that makes it quickly and easier to deploy open-source LLMs on AWS
ec2 ecs sagemaker huggingface qwq langchain large-language-model vllm ollama deepseek comfyui-workflow inferentia-2 internlm2 openai-compatible-api qwen2-5 deepseek-r1 qwq-32b gemma3 qwen3
-
Updated
Jun 4, 2025 - Python
To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models
ai-agents backdoor-attacks qwq large-language-models chain-of-thought deepseek reasoning-language-models deepseek-r1
-
Updated
May 21, 2025 - Python
Breaking long thought processes of o1-like LLMs, such as DeepSeek-R1, QwQ
bot ai chain backdoor-attacks qwq chain-of-thought llm-inference aiagent llm-agents llama3 deepseek-r1
-
Updated
Mar 19, 2025 - Python
Improve this page
Add a description, image, and links to the qwq topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the qwq topic, visit your repo's landing page and select "manage topics."