<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Oh My Opencode :: 태그 :: 모두의프린터</title><link>https://modu-print.com/tags/oh-my-opencode/</link><description/><generator>Hugo</generator><language>ko-KR</language><lastBuildDate>Wed, 04 Mar 2026 08:23:00 +0900</lastBuildDate><atom:link href="https://modu-print.com/tags/oh-my-opencode/index.xml" rel="self" type="application/rss+xml"/><item><title>Mac Studio M3 Ultra 512g + LocalLLM + Agents</title><link>https://modu-print.com/posts/16187/</link><pubDate>Tue, 03 Mar 2026 19:21:19 +0900</pubDate><guid>https://modu-print.com/posts/16187/</guid><description>여전히 클로드코드니 코덱스니 이런저런 다양한 놈들을 사용하는 와중에 틈틈히 LocalLLM 만으로 어느정도 수준까지 사용이 가능하지에 대한 많은 연구와 테스트를 해보고 있습니다.&#10;새로운 모델이 등장하는 텀이 좀 길어지는 느낌이긴 합니다만 .. 현재까지 정말 다양한 모델을 LM Studio, Ollama, mlx-ml, llama.cpp, exo 등에서 사용을 해봤습니다만 ..&#10;Openai API 를 통한 채팅 기반의 사용에서는 어떤 모델이든 대체로 큰 문제 없이 사용이 가능합니다만 ..</description></item><item><title>LM Studio + Opencode + OMO + 이런저런 모델들</title><link>https://modu-print.com/posts/16150/</link><pubDate>Sat, 28 Feb 2026 01:58:26 +0900</pubDate><guid>https://modu-print.com/posts/16150/</guid><description>맥 스튜디오 M3 Ultra 512g 모델로 이런짓 저런짓을 좀 해보고 있는 와중에 중간 중간 관련 글을 정리해 올려보고 있습니다. Bash pirogom@pirogom-Mac-Studio ~ % lms ls You have 12 models, taking up 599.66 GB of disk space.&#10;LLM PARAMS ARCH SIZE DEVICE google/gemma-3-27b (1 variant) 27B gemma3 16.87 GB Local llama-3.3-70b-instruct@4bit 70B Llama 39.71 GB Local llama-3.3-70b-instruct@8bit 70B Llama 74.98 GB Local llama-4-scout-17b-16e@4bit 17B llama4 61.14 GB Local llama-4-scout-17b-16e@8bit 17B llama4 115.46 GB Local minimax/minimax-m2.5 (1 variant) 230B minimax_m2 128.68 GB Local qwen2.5-coder-3b-instruct-mlx 3B Qwen2 1.75 GB Local qwen3-coder-next@4bit qwen3_next 44.86 GB Local qwen3-coder-next@8bit qwen3_next 84.67 GB Local zai-org/glm-4.6v-flash (1 variant) 9B glm4v 7.09 GB Local zai-org/glm-4.7-flash (1 variant) 30B glm4_moe_lite 24.36 GB Local&#10;EMBEDDING PARAMS ARCH SIZE DEVICE text-embedding-nomic-embed-text-v1.5 Nomic BERT 84.11 MB Local pirogom@pirogom-Mac-Studio ~ % lms ls You have 12 models, taking up 599.66 GB of disk space. LLM PARAMS ARCH SIZE DEVICE google/gemma-3-27b (1 variant) 27B gemma3 16.87 GB Local llama-3.3-70b-instruct@4bit 70B Llama 39.71 GB Local llama-3.3-70b-instruct@8bit 70B Llama 74.98 GB Local llama-4-scout-17b-16e@4bit 17B llama4 61.14 GB Local llama-4-scout-17b-16e@8bit 17B llama4 115.46 GB Local minimax/minimax-m2.5 (1 variant) 230B minimax_m2 128.68 GB Local qwen2.5-coder-3b-instruct-mlx 3B Qwen2 1.75 GB Local qwen3-coder-next@4bit qwen3_next 44.86 GB Local qwen3-coder-next@8bit qwen3_next 84.67 GB Local zai-org/glm-4.6v-flash (1 variant) 9B glm4v 7.09 GB Local zai-org/glm-4.7-flash (1 variant) 30B glm4_moe_lite 24.36 GB Local EMBEDDING PARAMS ARCH SIZE DEVICE text-embedding-nomic-embed-text-v1.5 Nomic BERT 84.11 MB Local</description></item></channel></rss>