******Local inference/models & low-code/edge (Gemma4/Qwen3.6-Plus/llama.cpp/Colab Ollama/HF TRL/ComfyUI/Scouts/Poe/Bonsai/Rexwit/Cherry Studio/sllm/PraisonAI/Codex App/SandboxDL/Karpathy Wiki)****
Key Questions
What achievements has Qwen3.6-Plus accomplished?
Qwen3.6-Plus from Alibaba processes over 1T tokens daily, excels in coding, multimodal tasks, and 1M context length, outperforming Claude in some benchmarks. It supports long-horizon agentic coding with task planning and iteration. Real-world tests show strengths in programming and extended tasks.
What are the highlights of Gemma4?
Google's fully open-sourced Gemma4 includes 31B and 26B models under Apache 2.0, with 256K context, multimodal support, and phone deployment viability. It beats larger models in performance and supports 140 languages with native function calling. Tests in OpenClaw show strong multi-agent and browser automation.
What tools support local inference like llama.cpp?
llama.cpp enables efficient local runs on M2 hardware, with tutorials via Ollama and LM Studio. HF TRL v1.0 aids fine-tuning, and Colab supports easy setups. These facilitate edge and low-code deployments.
What is Cherry Studio?
Cherry Studio is a free, open-source AI aggregator integrating GPT, Claude, DeepSeek, and more in one interface. It offers multi-model comparisons, 300+ preset assistants, and local knowledge bases. It simplifies switching between AI tools.
Why is PraisonAI notable?
PraisonAI, with 6.4k+ stars and Musk's endorsement, is a low-code multi-agent framework for quick setups. It stands out against CrewAI, AutoGen, and LangGraph for ease. It's highlighted for letting AI teams handle work.
What is Karpathy's Wiki?
Karpathy's Wiki is referenced in local AI contexts, likely for practical guides on models like Hermes Agent and HeyGen. It's part of hands-on resources for edge inference. Upcoming tests include it alongside other tools.
What role does sllm play?
sllm enables cheap shared GPU inference for local models. It's part of affordable edge computing options. Complements tools like ComfyUI and Scouts for low-code workflows.
What upcoming hands-on focuses are there?
Next steps include hands-on with Qwen3.6-Plus, Gemma4, llama.cpp, Modular, HF TRL, ComfyUI, Scouts, Poe, Bonsai, and Karpathy Wiki. Emphasis on local/edge deployments and model performance tests. Status is developing with strong open-source momentum.
Qwen3.6-Plus hits 1T tokens/day, coding/multimodal/1M ctx beats Claude; Gemma4 31B/26B beats 20x/256K ctx/phone tests, Ollama/LM Studio tuts; llama.cpp M2; HF TRL v1.0; Cherry Studio aggregator; sllm shared GPU cheap; PraisonAI 6.4k stars/Musk; Karpathy Wiki. Next: Qwen3.6-Plus/Gemma4/llama.cpp/Modular/HF TRL/ComfyUI/Scouts/Poe/Bonsai/Karpathy Wiki hands-on.