 | My laptop only has 6GB of VRAM, which wasn't enough to run abliterated model for my local AI. I managed to completely offload the inference to a free Google Colab T4 GPU and route the API straight back to my local CLI terminal using a Cloudflare tunnel. spent 0$ so far... for a test. [link] [comments] |
Got a 9B Abliterated Claude-Distilled model running for my local hermes
Reddit r/LocalLLaMA / 3/31/2026
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Key Points
- A user reports successfully running a 9B “Abliterated Claude-Distilled” model despite only having 6GB VRAM locally.
- The workaround was to fully offload inference to a free Google Colab T4 GPU rather than running the model on-device.
- They routed the model’s API back to their local CLI using a Cloudflare tunnel to keep the interaction seamless.
- The post emphasizes the experiment cost as $0 so far, positioning the setup as a practical way to use larger/distilled models with limited hardware.
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