-
```
What steps will reproduce the problem?
2 videocard installed, everything installed and running, here a benchmark
#1: 'CAL++ Device #1 'ATI CYPRESS'': 82426.3 PMKs/s (RTT 2.4)
#2: 'CAL++ Device #…
-
```
What steps will reproduce the problem?
2 videocard installed, everything installed and running, here a benchmark
#1: 'CAL++ Device #1 'ATI CYPRESS'': 82426.3 PMKs/s (RTT 2.4)
#2: 'CAL++ Device #…
-
I run the same training with 2 and 4 GPUS, and surprisingly the loss curve are exactly the same. I thought it should converge faster as the batch size is larger.
I confirm the batch size is correct…
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I try to load 63b model into 2x V100 32G GPU.
Command line:
```shell
llmtune generate --model llama-65b-4bit \
--weights ../llama-int4/llama-65b-4bit.pt \
--prompt "Q: Roger has 5 tennis balls. H…
-
Hello @tangjiapeng Your work is great and i am very interested in your article, and I have some questions to ask you.
I have five GPUs, how to call multiple GPUs to run code during traini…
-
```
What steps will reproduce the problem?
2 videocard installed, everything installed and running, here a benchmark
#1: 'CAL++ Device #1 'ATI CYPRESS'': 82426.3 PMKs/s (RTT 2.4)
#2: 'CAL++ Device #…
-
-
would running multiple gpu speed up the process?
-
I trained my dataset with a NVidia GTX 1060 and now I have added a GTX 750 to my setup. If I run my Training with both GPUs I get an "out of memory"-Error for following command:
`[path]\darknet det…
-
I raised a question in the Pytorch community, but no one responded to me, so I went to the Pytorch GitHub issue to ask again, excuse my presumptuousness
## Issue description
I want to create a mod…