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Developer shares workflow for running large 177B open model on Colab

By PulseAugur Editorial · [1 sources] ·

A developer shared a detailed workflow for running a large 177B parameter open-source model, Qwen3.8 Flash-Next, on a Google Colab G4 runtime without needing a local GPU or incurring API costs. The process involves a specific pre-download prompt to verify hardware compatibility and a step-by-step guide for setting up the runtime, downloading the model weights, and initiating the server. Key considerations include managing Colab's session disconnects by saving chat history to Google Drive to prevent data loss. AI

IMPACT Enables users to run large open-source models on cloud platforms without dedicated hardware or API costs.

RANK_REASON Developer shares a detailed workflow and prompt for running a large open-source model on a specific cloud platform.

Read on dev.to — LLM tag →

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

Developer shares workflow for running large 177B open model on Colab

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15 / 100
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Developer shares a detailed workflow and prompt for running a large open-source model on a specific cloud platform.
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infra, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Speedup AGI ·

    I ran a 177B open model on Colab G4 - here is the exact workflow, and the prompt I run before downloading anything

    <p>Last week I ran a 177B-parameter open model (Qwen3.8-Flash-Next, abliterated IQ3_S build) on a Colab G4 runtime. No local GPU, no API bill. This post is the exact workflow, with the numbers I actually measured - and the one prompt I now run <em>before</em> I download 80+ GB of…

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