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User seeks performance boost for Qwen3.5-122B on consumer hardware

A user is seeking to optimize the performance of the Qwen3.5-122B large language model on their hardware, which includes 32GB of VRAM and 64GB of RAM. They are currently experiencing token generation speeds between 6 and 20 tokens per second and are looking for ways to improve this throughput. The user has shared their specific command-line arguments and output logs to help diagnose the issue and find potential solutions. AI

IMPACT This query highlights the ongoing challenges and community efforts in optimizing large language models for efficient local deployment on consumer-grade hardware.

RANK_REASON User query about optimizing performance for a specific LLM on consumer hardware.

Read on r/LocalLLaMA →

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

User seeks performance boost for Qwen3.5-122B on consumer hardware

How we ranked this

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User query about optimizing performance for a specific LLM 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
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
87 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/BitGreen1270 ·

    Best tps can I get with Qwen3.5 122B on 32GB VRAM + 64GB RAM?

    <!-- SC_OFF --><div class="md"><p>My attempt at running Qwen3.5 122B on my 5090 (32GB VRAM) + 64GB RAM is really bleak. I'm getting a speed that starts at 6 tps and ends at ~20 tps. Can I improve this further?</p> <p><code> build/bin/llama-server \ -m ~/myp/models/unsloth/qwen3.5…