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/

#Ollama #LMStudio #LLM #AI #OpenSource #Chat

@opensource

Migliori LLM locali del 2026: usali con Ollama o 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

#llm #lmstudio #genai

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

#llm #lmstudio #genai

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

#llm #lmstudio #genai

Stürzt bei noch jemandem in #lmstudio das #model ohne weitere Info ab, wenn er eine Datei in den Chat gibt und Vision verwendet? Bei mir jedes mal. An #qwen oder der Systemlast kann es nicht liegen.

Hab schon mit #ollama probiert. Hat zwar 5 Minuten gebraucht, um die Katze zu beschreiben, weil er noch Thinking gemacht hat, aber das Ergebnis war zufriedenstellend und ich hatte keinen Crash.

"The model has crashed without additional information. (Exit code: null)"

#ai #linux

Finally, an open-source alternative that's easy to use and performs better than #LMStudio on Mac with support for MLX!

A bit shady that it uploads the benchmark result without noticing or asking tho

https://omlx.ai

#oMLX

#lmstudio model loading panel has an extremely useful and time saving interface that shows you an estimate of the effective memory usage based on your model runtime parameter settings.

Great tool 🙏