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Unsloth vs. Bartowski: MTP performance benchmarked for Qwen models

By PulseAugur Editorial · [1 sources] ·

A user on r/LocalLLaMA compared the performance of Unsloth and Bartowski's implementations of the MTP (Multi-Task Prompting) technique for the Qwen 3.5-4B and 9B models. The comparison focused on VRAM usage and tokens per second across various quantization levels (Q4_0, IQ4_NL, Q4_1, Q8_0). While both implementations showed similar performance, Unsloth generally used slightly less VRAM and offered marginally higher throughput in some tests. AI

IMPACT Provides practical performance data for users optimizing local LLM deployments.

RANK_REASON User-conducted benchmark comparing two implementations of a technique for open-source models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

Unsloth vs. Bartowski: MTP performance benchmarked for Qwen models

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User-conducted benchmark comparing two implementations of a technique for open-source models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Svenska(SV) · /u/Ok_Warning2146 ·

    unsloth vs bartowski MTP ggufs

    <!-- SC_OFF --><div class="md"><p>I noticed that bartowski's MTP ggufs are bigger than unsloth. I asked bartowski and he said he used Q8_0 quant for the MTP head. So I compare the decoding performance of the two.</p> <p>/build/bin/llama-server -m ~/gguf/Qwen3.5-4B-Q4_0.gguf --hos…

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