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Qwen3.6 35B model runs on dual 4060Ti GPUs, outperforming benchmarks

A user has successfully run the Qwen3.6 35B model on two NVIDIA 4060Ti graphics cards, achieving performance that surpasses the 'Abliterated' benchmark. This setup demonstrates the capability of consumer-grade hardware to handle large language models, offering a practical example for local AI deployment. AI

IMPACT Demonstrates the feasibility of running advanced LLMs on consumer hardware, potentially lowering barriers to local AI experimentation.

RANK_REASON User-level deployment of a specific model on consumer hardware.

Read on r/LocalLLaMA →

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

Qwen3.6 35B model runs on dual 4060Ti GPUs, outperforming benchmarks

How we ranked this

Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-level deployment of a specific model on consumer hardware.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/nugs4lunch ·

    Extra Big Ass Intelligence - Abliterated qwen3.6-35b on 2 4060ti's

    &#32; submitted by &#32; <a href="https://www.reddit.com/user/nugs4lunch"> /u/nugs4lunch </a> <br /> <span><a href="https://www.extrabigassintelligence.com/">[link]</a></span> &#32; <span><a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxlqu4/extra_big_ass_intelligence_abl…