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AI researcher seeks hardware advice for fine-tuning Qwen3.5-14B-Base model

A user on Reddit's r/MachineLearning subreddit is seeking hardware recommendations for fine-tuning a satire model based on Qwen3.5-14B-Base. The user encountered memory issues while attempting a full fine-tune on a cloud computer with 4x12GB GPUs and 48GB of system RAM, underestimating the memory requirements for their dataset of approximately 18,000 long examples. They are looking for advice on suitable hardware to avoid similar problems in the future. AI

IMPACT Guidance for individuals undertaking custom model fine-tuning.

RANK_REASON User seeking advice on hardware for a specific AI task, not a new release or major industry event.

Read on r/MachineLearning →

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

AI researcher seeks hardware advice for fine-tuning Qwen3.5-14B-Base model

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User seeking advice on hardware for a specific AI task, not a new release or major industry event.
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/minedroid1 ·

    Help With Choosing Hardware [P]

    <!-- SC_OFF --><div class="md"><p>&#x200b;</p> <p>I am going to fine-tune a satire model, with the base model being `Qwen3.5-14B-Base`. The dataset has ~18000 examples, most of which are pretty long and do not align with the model's internal knowledge (they have incorrect answers…