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757M LLM trained from scratch loses to fine-tuned Qwen model

By PulseAugur Editorial · [2 sources] ·

An individual trained a 757 million parameter LLM from scratch, comparing its performance against a fine-tuned Qwen2.5-0.5B-Instruct model. The author details the process, including data preparation, transformer architecture, and the use of techniques like QLoRA. Ultimately, the smaller, fine-tuned Qwen model outperformed the larger, scratch-trained model, a result the author explains is not paradoxical but rather a consequence of leveraging a pre-trained foundation. AI

IMPACT Provides practical insights into LLM training and fine-tuning, highlighting the effectiveness of pre-trained models over scratch training for certain tasks.

RANK_REASON The article describes a personal LLM training experience and comparison, not a new model release or significant industry event.

Read on Medium — MLOps tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

757M LLM trained from scratch loses to fine-tuned Qwen model

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
Commentary
The article describes a personal LLM training experience and comparison, not a new model release or significant industry event.
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, other
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 [2]

  1. Medium — MLOps tag TIER_1 English(EN) · Bharqav ·

    I Trained a 757M-Parameter LLM From Scratch, Then Fine-Tuned Qwen Instead.

    <div class="medium-feed-item"><p class="medium-feed-snippet">Most &#x201c;I built an LLM&#x201d; posts show you a loss curve going down and stop there.</p><p class="medium-feed-link"><a href="https://medium.com/@bhargavpodapati28/i-trained-a-757m-parameter-llm-from-scratch-then-f…

  2. dev.to — LLM tag TIER_1 English(EN) · Bhargav ·

    I Trained a 757M-Parameter LLM From Scratch, Then Fine-Tuned Qwen Instead. Here's Everything I Learned.

    <p>Most "I built an LLM" posts show you a loss curve going down and stop there.</p> <p>This one is different, because my from-scratch model <strong>lost</strong>, and I think the <em>why</em> is the most useful thing I can teach you.</p> <p>Over the last few weeks I built two lan…

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