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.
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. 🚀
Financial analysis of recession impacts using sector and macroeconomic frameworks.
Read the full article: Assessment of Qwen3.5-9b in LMStudio
▸ https://lttr.ai/AphXL
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/
Migliori 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
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)"
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
sayzard
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