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…If I need a quick boilerplate for a new component, I can swap to DeepSeek-V4 for instant results. Rethinking the editor Breaking years of muscle memory isn’t easy, but Zed…
…OpenAI's GPT-OSS-120b and GPT-OSS-20B also received day-zero support across cloud and client systems, while Llama 4 and DeepSeek arrived with the same out-of-the-box…
…The DeepSeek R1 Distil Qwen 1.7B model, for instance, would sprout complete nonsense, even though it was able to access my Home Assistant hub via the MCP server. It’d even…
…Strong models like Claude Sonnet 4.6 and DeepSeek v3.2 performed best with minimal guidelines, and the open-source models were within 95% of the performance of the closed-source models…
…The settings screen lets me pick from Ollama, LM Studio, vLLM, SGLang, and LLaMA.cpp for fully local setups, or bring my own key for Gemini, Anthropic, OpenAI, Grok, Qwen, DeepSeek, Moonshot…
…Once installed, you can pull coding-focused models like Qwen2.5 Coder, DeepSeek Coder, or Codestral. These are good enough for implementation work, code edits, debugging, and shell tasks. The second thing…
…It hooks into OpenAI, Anthropic, Gemini, DeepSeek, Qwen, plus whichever local models through Ollama or LM Studio. Setting up your own server through LM Studio takes two minutes, and that's pretty…
…There's also a Hugging Face Router provider that gives me hosted models like Kimi-K2 and DeepSeek-R1 on a pay-as-you-go basis, without an account for each underlying…
…You either plug in an API key from a supported provider - Anthropic, OpenAI, Grok, Gemini, DeepSeek, OpenRouter, or an OpenAI-compatible custom endpoint like LM Studio - or you point it at a…
…I tested models like Llama 3, Mistral, Mixtral, and Deepseek. I also tried a few 20B and above scale models, but since they demand more resources, I don’t run them all…