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Local AI setup with Qwen-3.5B-MXFP8 proves usable for agentic tasks

By PulseAugur Editorial · [1 sources] ·

A user has been experimenting with a local AI setup for a week, combining the Qwen-3.6-35B-MXFP8 model with MoE architecture for enhanced speed. The system also incorporates OMLX for prompt caching and PiAgent as a harness. The user expressed surprise at the setup's effectiveness, noting that while not yet commercial-grade, it is the first time a local model has felt genuinely usable for basic agentic tasks. AI

IMPACT Demonstrates the increasing viability of local models for agentic tasks, potentially reducing reliance on cloud-based solutions.

RANK_REASON User experiment with existing models and tools for local AI tasks.

Read on Mastodon — fosstodon.org →

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

Local AI setup with Qwen-3.5B-MXFP8 proves usable for agentic tasks

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0 / 100
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Tool
User experiment with existing models and tools for local AI tasks.
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model release, product
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High
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120 days old
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COVERAGE [1]

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

    I've been playing with this setup for a week: # Qwen -3.6-35B-MXFP8 with MoE architecture for speed, # OMLX for hot/cold prompt caching, and # PiAgent as a lean

    I've been playing with this setup for a week: # Qwen -3.6-35B-MXFP8 with MoE architecture for speed, # OMLX for hot/cold prompt caching, and # PiAgent as a lean harness. I'm genuinely surprised by how the whole setup works much better than I expected. It is not commercial quality…

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