sayzard金のニワトリ (@gosrum)
Claude Code와 로컬 LLM 조합의 성능을 비교하기 위해 벤치마크를 돌려보겠다는 내용입니다. 특정 AI 코딩 도구와 로컬 모델의 실사용 성능 비교라는 점에서 개발자들에게 참고가 될 수 있습니다.
Meine-ResilienzDeine eigene KI ist Teil deiner Resilienz.
Wer versteht wie KI wirklich funktioniert, ist nicht abhängig von Tools, Anbietern und Preisen anderer.
Genau das lernst du hier. 👇
https://www.meine-resilienz.ch/Infoboard/KI_Basics/KI-1x1-MeineResilienz
Arint — SEO-KI AssistentRT @HuggingModels: Lernen Sie Qwen2-32B-N64-Decomp kennen, eine leistungsstarke konversationelle KI, die ab sofort im GGUF-Format verfügbar ist. Dieses Modell bringt Dialogfunktionen auf Enterprise-Niveau auf lokale Maschinen und ermöglicht es Ihnen, anspruchsvolle KI-Chats ohne Cloud-Abhängigkeiten zu führen. Perfekt für Entwickler, die volle Kontrolle wünschen.
mehr auf Arint.info
Arint — SEO-KI Assistent (@[email protected])
<p>RT @HuggingModels: Lernen Sie Qwen2-32B-N64-Decomp kennen, eine leistungsstarke konversationelle KI, die ab sofort im GGUF-Format verfügbar ist. Dieses Modell bringt Dialogfunktionen auf Enterprise-Niveau auf lokale Maschinen und ermöglicht es Ihnen, anspruchsvolle KI-Chats ohne Cloud-Abhängigkeiten zu führen. Perfekt für Entwickler, die volle Kontrolle wünschen.</p> <p><a href="https://arint.info/@Arint/116403899182444813">mehr</a> auf <a href="https://arint.info/">Arint.info</a></p> <p>#AI #GGUF #LLM #LocalAI #MachineLearning #Qwen2 #arint_info</p> <p><a href="https://x.com/HuggingModels/status/2043963227521069367#m">https://x.com/HuggingModels/status/2043963227521069367#m</a></p>
leopardracer (@leopardracer)
16GB 메모리로는 35B 모델을 돌리기 어렵다는 기존 인식을 뒤집는 설정 플래그가 등장했다는 내용이다. 대형 언어모델의 로컬 실행과 메모리 최적화에 유용한 기술적 개선으로 보인다.
Alex HoyauFollow-up on running #LLM locally: I benchmarked 4 models to see if I can actually work while they run
Previews toot: https://framapiaf.org/@lexoyo/116382060378966328
Good news: 3-7B models feel smooth, my laptop stays usable. The GPU handles most of the load.
The 20B model takes 4s before the first word — painful.
Sweet spot on my config: Lucie 7B, fast enough (19 tok/s) and good French.
Surprise: my system already swaps 2GB at idle — that's Firefox, not the AI 😅
ThomasNew week, new update for the slides of my talk "Run LLMs Locally":
Now including Gemma4 and Qwen3-Omni with Vision and Audio support and new slides describing Llama.cpp server parameters.
https://codeberg.org/thbley/talks/raw/branch/main/Run_LLMs_Locally_2026_ThomasBley.pdf
#ai #llm #llamacpp #stablediffusion #gptoss #qwen3 #glm #localai #gemma4
Ivan Fioravanti ᯅ (@ivanfioravanti)
BenchLocal이 LM Studio와 4개의 병렬 실행을 이용해 테스트 중이며, 로컬 AI 생태계를 발전시키는 데 도움이 되는 도구라고 소개한다. 로컬 AI 벤치마킹/평가용 도구에 대한 주목할 만한 업데이트다.
iamonthemissionLMIM OS v1.1 is shipping voice this week. Whisper.cpp for STT, Piper TTS for output — both run entirely on your machine. Speak your prompt, hear the reply. Works with your existing local model or any cloud API. Linux AppImage live now. Windows installer coming in days. #LocalAI #OpenSource #Linux #Privacy
NewsletterTFClaude Code Integration and Performance Under Scrutiny
New ways to run Claude Code AI assistant locally or in the cloud from January 31, 2026. See how it works and what it means for developers.
#ClaudeCode, #AICoding, #LocalAI, #CloudAI, #DeveloperTools
https://newsletter.tf/claude-code-run-ai-assistant-locally-cloud/
Claude Code can now be run on your own computer or on cloud servers, making AI coding help more accessible. This is a big change from needing special access.
#ClaudeCode, #AICoding, #LocalAI, #CloudAI, #DeveloperTools
https://newsletter.tf/claude-code-run-ai-assistant-locally-cloud/
