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User shares local AI stack with Ollama, Gemma, and Qwen models

A user is detailing their personal AI stack, which includes Ollama and Hermes for running local large language models. They are currently utilizing a combination of `gemma4:e4b-mlx` and `qwen3.5:9b-mlx` models to power agents within the Zed code editor for Python development. The user also mentioned testing `ornith:9b` as a potential next model for agentic coding tasks. AI

RANK_REASON This is a personal anecdote about a user's local AI setup, 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 shares local AI stack with Ollama, Gemma, and Qwen models

COVERAGE [1]

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

    What does your local AI stack look like right now? I’m using # Ollama and # Hermes with a blend of `gemma4:e4b-mlx` and `qwen3.5:9b-mlx` to drive agents in Zed

    What does your local AI stack look like right now? I’m using # Ollama and # Hermes with a blend of `gemma4:e4b-mlx` and `qwen3.5:9b-mlx` to drive agents in Zed for Python dev. Currently staying just under 90°C (avg. core temp) for most of my work. 🔥💻🔥 `ornith:9b` is the next test…