Chen-zexi/vllm-cli
A command-line interface tool for serving LLM using vLLM.
Language: Python
#llm #llm_tools #vllm
Stars: 243 Issues: 1 Forks: 5
https://github.com/Chen-zexi/vllm-cli
A command-line interface tool for serving LLM using vLLM.
Language: Python
#llm #llm_tools #vllm
Stars: 243 Issues: 1 Forks: 5
https://github.com/Chen-zexi/vllm-cli
GitHub
GitHub - Chen-zexi/vllm-cli: A command-line interface tool for serving LLM using vLLM.
A command-line interface tool for serving LLM using vLLM. - Chen-zexi/vllm-cli
vakovalskii/sgr-deep-research
Schema-Guided Reasoning (SGR) is a technique that guides large language models (LLMs) to produce structured, clear, and predictable outputs by enforcing reasoning through predefined steps. By creating a specific schema (or structured template), you explicitly define:
Language: Python
#agent #llm #sgr #so #structured_output
Stars: 173 Issues: 0 Forks: 35
https://github.com/vakovalskii/sgr-deep-research
Schema-Guided Reasoning (SGR) is a technique that guides large language models (LLMs) to produce structured, clear, and predictable outputs by enforcing reasoning through predefined steps. By creating a specific schema (or structured template), you explicitly define:
Language: Python
#agent #llm #sgr #so #structured_output
Stars: 173 Issues: 0 Forks: 35
https://github.com/vakovalskii/sgr-deep-research
GitHub
GitHub - vamplabAI/sgr-deep-research: redmadrobot.ai | Hybrid Schema-Guided Reasoning (SGR) has agentic system design create by…
redmadrobot.ai | Hybrid Schema-Guided Reasoning (SGR) has agentic system design create by neuraldeep community - vamplabAI/sgr-deep-research
yassa9/qwen600
Static suckless single batch CUDA-only qwen3-0.6B mini inference engine
Language: Cuda
#cuda #cuda_programming #gpu #llamacpp #llm #llm_inference #qwen #qwen3 #transformer
Stars: 287 Issues: 1 Forks: 17
https://github.com/yassa9/qwen600
Static suckless single batch CUDA-only qwen3-0.6B mini inference engine
Language: Cuda
#cuda #cuda_programming #gpu #llamacpp #llm #llm_inference #qwen #qwen3 #transformer
Stars: 287 Issues: 1 Forks: 17
https://github.com/yassa9/qwen600
GitHub
GitHub - yassa9/qwen600: Static suckless single batch CUDA-only qwen3-0.6B mini inference engine
Static suckless single batch CUDA-only qwen3-0.6B mini inference engine - yassa9/qwen600
❤1
oxbshw/LLM-Agents-Ecosystem-Handbook
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
Language: Python
#ai #ai_agent #ai_agents #fine_tuning #finetuning_llms #freamework #llm #llmops #local_development #mcp_server #memory #rag #rag_chatbot #voice_agent
Stars: 198 Issues: 0 Forks: 29
https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
Language: Python
#ai #ai_agent #ai_agents #fine_tuning #finetuning_llms #freamework #llm #llmops #local_development #mcp_server #memory #rag #rag_chatbot #voice_agent
Stars: 198 Issues: 0 Forks: 29
https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook
GitHub
GitHub - oxbshw/LLM-Agents-Ecosystem-Handbook: One-stop handbook for building, deploying, and understanding LLM agents with 60+…
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools. - oxbshw/LLM-Agents-Ecosystem-Handbook
❤1👍1
WooooDyy/AgentGym-RL
Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.
Language: Python
#agent #llm #llm_based_agent #scaling
Stars: 255 Issues: 4 Forks: 21
https://github.com/WooooDyy/AgentGym-RL
Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.
Language: Python
#agent #llm #llm_based_agent #scaling
Stars: 255 Issues: 4 Forks: 21
https://github.com/WooooDyy/AgentGym-RL
GitHub
GitHub - WooooDyy/AgentGym-RL: Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision…
Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al. - WooooDy...
👀1
pguso/ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Language: JavaScript
#ai_agents #educational #function_calling #llm #llm_agent #node_llama_cpp #react_agent #tutorial
Stars: 342 Issues: 7 Forks: 22
https://github.com/pguso/ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Language: JavaScript
#ai_agents #educational #function_calling #llm #llm_agent #node_llama_cpp #react_agent #tutorial
Stars: 342 Issues: 7 Forks: 22
https://github.com/pguso/ai-agents-from-scratch
GitHub
GitHub - pguso/ai-agents-from-scratch: Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding…
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns. - pguso/ai-agents-from-scratch