Update Massed Compute rental. New Coupon Code
Browse files
README.md
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@@ -105,13 +105,13 @@ Only the train splits were used (if a split was provided), and an additional pas
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[Massed Compute](https://massedcompute.com/?utm_source=huggingface&utm_creative_format=model_card&utm_content=creator_jon) has created a Virtual Machine (VM) pre-loaded with TGI and Text Generation WebUI.
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1) For this model rent the [Jon Durbin 4xA6000](https://shop.massedcompute.com/products/jon-durbin-4x-a6000?utm_source=huggingface&utm_creative_format=model_card&utm_content=creator_jon) Virtual Machine
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2) After you start your rental you will receive an email with instructions on how to Login to the VM
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3) Once inside the VM, open the terminal and run `conda activate text-generation-inference`
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4) Then `cd Desktop/text-generation-inference/`
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5) Run `volume=$PWD/data`
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6) Run`model=jondurbin/bagel-8x7b-v0.2`
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7) `sudo docker run --gpus '"device=0,1"' --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3 --model-id $model`
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8) The model will take some time to load...
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9) Once loaded the model will be available on port 8080
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[Massed Compute](https://massedcompute.com/?utm_source=huggingface&utm_creative_format=model_card&utm_content=creator_jon) has created a Virtual Machine (VM) pre-loaded with TGI and Text Generation WebUI.
|
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+
1) For this model rent the [Jon Durbin 4xA6000](https://shop.massedcompute.com/products/jon-durbin-4x-a6000?utm_source=huggingface&utm_creative_format=model_card&utm_content=creator_jon) Virtual Machine use the code 'JonDurbin' for 50% your rental
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2) After you start your rental you will receive an email with instructions on how to Login to the VM
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3) Once inside the VM, open the terminal and run `conda activate text-generation-inference`
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4) Then `cd Desktop/text-generation-inference/`
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5) Run `volume=$PWD/data`
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6) Run `model=jondurbin/bagel-8x7b-v0.2`
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7) `sudo docker run --gpus '"device=0,1,2,3"' --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3 --model-id $model`
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8) The model will take some time to load...
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9) Once loaded the model will be available on port 8080
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