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LLM weight editing experiments with Qwen and ACE-Step explored

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit is inquiring about the feasibility of using large language models like Qwen to directly edit the weights of other models, specifically ACE-Step. The user is interested in weight editing as an alternative to traditional fine-tuning or LoRA training methods. The goal is to use an LLM to guide targeted modifications to model parameters, potentially enhancing specific capabilities or correcting behaviors without full retraining. AI

IMPACT Explores a novel method for model modification that could offer more efficient fine-tuning.

RANK_REASON User inquiry on a forum about a potential novel technique.

Read on r/LocalLLaMA →

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

LLM weight editing experiments with Qwen and ACE-Step explored

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User inquiry on a forum about a potential novel technique.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Green-Ad-3964 ·

    Has anyone tried using Qwen or other LLMs to directly edit ACE-Step weights?

    <!-- SC_OFF --><div class="md"><p>I'm curious whether anyone has experimented with using Qwen or other LLMs to directly analyze and modify ACE-Step model weights.</p> <p>I'm specifically interested in <strong>weight editing</strong>, rather than conventional fine-tuning or LoRA t…

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