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For additional context:
I'm running python python/server.py with no arguments. Additionally, I've disabled cuda because my card does not have enough memory:
diff --git a/python/server.py b/python/server.py
index 0efa17b..0c2c8b5 100644
--- a/python/server.py+++ b/python/server.py@@ -18,7 +18,7 @@ def load_hf(hf_model):
model = transformers.AutoModelForCausalLM.from_pretrained(hf_model)
tokenizer = transformers.AutoTokenizer.from_pretrained(hf_model)
- if torch.cuda.is_available():+ if False:
model.cuda()
model.eval()
print("Done.")
The text was updated successfully, but these errors were encountered:
After 9299059, I get this error whenever I try to use the
llmstep
tactic:I tried adding this error logging:
And the error shown is:
The error goes away if I revert 9299059.
For additional context:
I'm running
python python/server.py
with no arguments. Additionally, I've disabled cuda because my card does not have enough memory:The text was updated successfully, but these errors were encountered: