PulseAugur
EN
LIVE 11:17:18

User details complex AI setup with LMStudio, Hermes, and mixed models

The user has detailed their complex AI setup, which involves LMStudio as the server and Hermes with ByteBuddies as the client. Their architecture, dubbed MoM, utilizes a mixture of Mistral and Qwen models for various tasks, alongside Nomic and Gemma models for specific functions like embedding and translation. The system is designed with robust sandboxing and supports a large number of tools and custom skills. AI

RANK_REASON This is a personal technical setup post, not a significant industry event or release.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User details complex AI setup with LMStudio, Hermes, and mixed models

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Summary: Server: LMStudio Client: Hermes + ByteBuddies (closed alpha) Sandboxing: double-layered of own network/router with dedicated machine + docker container

    Summary: Server: LMStudio Client: Hermes + ByteBuddies (closed alpha) Sandboxing: double-layered of own network/router with dedicated machine + docker containerization. Architecture: MoM (5 models, 9 roles) Models: Mixture of Mistral (OCR, TTS) and Qwen (rerank, classify, code, m…