draglord

Forerunner
Feedback: +15 / =0 / -0
Expected Price (Rs)
42000
Shipping from
Bangalore. Will prioritize Bangalore folks first.
Item Condition
4 out of 5
Payment Options
  1. Bank Transfer
Purchase Date
Jan 1, 2024
Shipping Charges
Local buyers only
Have you provided two pics?
  1. Yes
Remaining Warranty Period
None
Invoice Available?
No
Reason for Sale
Upgraded to 4080 super
Hello

Selling my used Galax 3090. 42K shipped. Will wait for buyers from Bangalore to reach out first, as i am located in Bangalore, will then serve requests from folks outside bangalore.

I bought this an year ago, used primarily for machine learning. (for the curious, links below)

Post in thread 'Problems with Inference on GPT NEO X LLM'

asingh said:
It seems your dataset changes when moving away from training mode. That is an enumeration error for tuples and dicts. Probably not an image or PyPy induced error.
Click to expand...

True, but couple of points.

1) How come it changes only for my setup? Apprently other people have been able to perform inference properly. Maybe using the new image might help

2) In the line
logits[:, -1].view(batch_size, -1).contiguous()
Click to expand...
the subscripting is being done properly. They are integers and not a tuple, so i am not sure where does the problem lie. But i will try other subscriptions as well...

Thread 'Alternatives to Nvidia Nemo (any open source Multimodal LLM)?'

Hi

I am looking for alternatives to Nvidia Nemo (https://github.com/NVIDIA/NeMo/tree/main). It is not an LLM but supports deployment of other LLMs.

Especially looking for Multimodal LLMs.

Thanks

Post in thread '4 GPUs, PC freeze. Possible pcie lanes saturation?'

@omkar13 I mostly work with LLMs, i play around with them and my company recently asked me to fine tune LLama 3.1 8b with a documentation of a product. Which i did using Unsloth

Thread 'Help vectorizing text from tfds load in Tensorflow'

Hello

I am trying to vectorize text (wikipedia) using tfds load. I am trying to do something like [this](https://www.tensorflow.org/text/tutorials/text_classification_rnn)

This nlp example contains imdb reviews data and i was able to successfully follow it. But i am not able to do it for wikipedia dataset. Apparently there is some inherent difference between the types of datasets.

I have tried the following


import tensorflow as tf import tensorflow_datasets as tfds from tensorflow.keras.layers.experimental.preprocessing import TextVectorization # Load Wikipedia dataset from tfds...

It was used for mining before i bought it.

No bill, box might be available.

Furmark does not support benchmark on secodary GPU but i have uploaded octanebench results.
EDIT: LuxMark results uploaded as well with HWINFO temp sensor readings

Edit 2: pics of second card uploaded
 

Attachments

Last edited:
Token amount paid
 
received

Mod edit: Avoid listing items without pics
 
Last edited by a moderator:
Paid in full, awaiting tracking confirmation
 
Payment received, courier booked, waiting for it to be picked up
 
Full amount paid for 2nd Galax 3090, waiting for tracking info
 
Received the card yesterday, will update post testing.
 
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Received card today, will update and leave feedback after testing.
 
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Both cards are sold?
 
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