palmer is a series of ~1b parameters language models fine-tuned to be used as base models instead of using custom prompts for tasks. This means that it can be further fine-tuned on more data with custom prompts as usual or be used for downstream tasks as any base model you can get. The model has the best of both worlds: some "bias" to act as an assistant, but also the abillity to predict the next-word from its internet knowledge base. It's a 1.1b llama 2 model so you can use it with your favorite tools/frameworks.
evaluation
Model
ARC_C
HellaSwag
PIQA
Winogrande
tinyllama-2t
0.2807
0.5463
0.7067
0.5683
palmer-001
0.2807
0.5524
0.7106
0.5896
tinyllama-2.5t
0.3191
0.5896
0.7307
0.5872
palmer-002
0.3242
0.5956
0.7345
0.5888
palmer-002-ultra
0.3319
0.5877
0.7252
0.6038
This is a continuation on
palmer-x-002
. As of now, this is the best overall model.
training
Training took ~7.5 P100 gpu hours. It was trained on 50,000 gpt-4 shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.
prompt
no prompt
Runs of appvoid palmer-002-ultra on huggingface.co
13
Total runs
0
24-hour runs
-2
3-day runs
1
7-day runs
4
30-day runs
More Information About palmer-002-ultra huggingface.co Model
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