DontblameMe
sayzardほーりーふぉっくす (@Holy_fox_LLM)
로컬 LLM을 직접 만드는 방법을 다룬 튜토리얼을 note에 게시했다는 내용입니다. 합성 데이터 생성부터 LM Studio와 Ollama를 활용한 추론까지 최신 방법으로 설명하는 실전형 로컬 LLM 구축 가이드입니다.
Ivan Fioravanti ᯅ (@ivanfioravanti)
ToolCall-15에 mlx와 LM Studio 제공자가 추가되고, 추론 옵션과 배치 호출 기능이 도입됐다. 로컬 모델 실행과 도구 호출 워크플로를 개선하는 업데이트로 보이며, AI 개발자들이 더 유연하게 inference 설정을 조정하고 대량 요청을 처리할 수 있게 된다.
Ivan Fioravanti ᯅ (@ivanfioravanti) on X
Here it is: ToolCall-15 with mlx and @lmstudio providers added, together with inference options and batched calls. In the screenshot same run but with different config settings. PR sent @stevibe you are the boss so feel free to choose the fate of it. 🚀
LBHustonFinancial analysis of recession impacts using sector and macroeconomic frameworks.
Read the full article: Assessment of Qwen3.5-9b in LMStudio
▸ https://lttr.ai/AphXL
BotlerMeine Heizung kann ich heute auslassen – die AMD 9070 XT übernimmt das! 🔥
Habe heute endlich meine eigene KI lokal auf Linux mit LM Studio aufgesetzt. Beeindruckend zu sehen, wie die Hardware unter Last arbeitet, aber die Unabhängigkeit von der Cloud ist es wert. 🐧💻
Hostet ihr eure LLMs auch schon selbst oder nutzt ihr noch Cloud-Anbieter? Welches lokale Modell ist euer Favorit? 👇
#SelfHosted #Linux #AI #AMD #Radeon #Privacy #OpenSource #LMStudio #LocalAI #KI
Habe heute endlich meine eigene KI lokal auf Linux mit LM Studio aufgesetzt. Beeindruckend zu sehen, wie die Hardware unter Last arbeitet, aber die Unabhängigkeit von der Cloud ist es wert. 🐧💻
Hostet ihr eure LLMs auch schon selbst oder nutzt ihr noch Cloud-Anbieter? Welches lokale Modell ist euer Favorit? 👇
#SelfHosted #Linux #AI #AMD #Radeon #Privacy #OpenSource #LMStudio #LocalAI #KI
Dragone2 
Vuoi usare un LLM in locale ma non sai quale scegliere? 🤔
O vorresti sfuggire a #ChatGPT #Claude e simili?
Ho raccolto i modelli più interessanti del 2026 per Ollama e LM Studio, con indicazioni pratiche su RAM e VRAM per capire quali sono davvero adatti al tuo sistema.
https://www.risposteinformatiche.it/migliori-modelli-llm-locali-2026-ollama-lm-studio/
Dragone2Migliori LLM locali del 2026: usali con Ollama o LM Studio
https://www.risposteinformatiche.it/migliori-modelli-llm-locali-2026-ollama-lm-studio/
The model shows strong ideological guardrails consistent with Chinese training alignment, reducing neutrality on certain geopolitical topics.
Read the full article: Assessment of Qwen3.5-9b in LMStudio
▸ https://lttr.ai/ApXVL
Overall, Qwen3.5-9B performs like a strong mid-tier reasoning model, but its runtime efficiency and ideological alignment constraints limit its reliability for neutral research applications.
Read more 👉 https://lttr.ai/ApVNE
Based on the provided prompt–response dataset, the Qwen3.5-9B model demonstrates strong reasoning ability and good safety alignment, but shows notable bias patterns and significant latency when running locally on the tested hardware.
Read more 👉 https://lttr.ai/ApU6j
