I moved my AI coding agent into its own container, and now I don't care what it breaks
…Hermes lets me swap models at any time I could switch to GLM or DeepSeek with ease M3 is what I'm using now, but I've also got GLM 5.2…
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…Hermes lets me swap models at any time I could switch to GLM or DeepSeek with ease M3 is what I'm using now, but I've also got GLM 5.2…
…I regularly switch between DeepSeek 14B, Llama 3.1 8B, Qwen2.5-Coder 7B, and GPT-OSS 20B depending on the task. The biggest difference isn't that these models outperform cloud…
…The DeepSeek R1 671B model, the full thing, weighs in around 405GB once quantized to 4-bit. No 5090 runs that. Not even a four-5090 rig can keep it resident in…
…keeping dozens of models, I've settled on three that cover almost everything I do: deepseek-r1:14b for everyday writing, research, and document analysis, gpt-oss:20b when I need higher…
…There’s the time I tried connecting my Home Assistant hub to DeepSeek R1 Distil Qwen 1.7B via an MCP server, and the LLM would toss hallucinated garbage as the output…
…Rather than sifting through the whole mess myself, I can just feed the config and log files into my Ollama (usually DeepSeek R1 or Llama 3.1) models and ask them to…
…I found it more flexible because I already had access to models through ChatGPT, DeepSeek, and other services, so I could use those existing credits and tokens instead of paying for another…
…Kimi K2 Thinking, Qwen3-Coder-480B, DeepSeek V3.2, Llama 4 Maverick, Mistral Large 3, Devstral 2, ByteDance's Seed-OSS, and Google's Gemma 3 family are all in there too…
…I currently use a DeepSeek R1 (8B) model hosted on my GTX 1080, but even Llama 3.2 (3B) and Qwen 2.5 (3B) display precise results if I try questioning them…
…works better as an autocomplete model than as an agent responsible for changing a project. DeepSeek Coder V2 Lite is another good option and only occupies around 9GB. I also tested the…