ceos/unsloth
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Update llama.py

Browse source
This commit is contained in:
Daniel Han 2024-11-25 21:39:19 -08:00
commit 549c5be61c
1 changed files with 3 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

5
unsloth/models/llama.py
View file

@ -980,7 +980,8 @@ def CausalLM_fast_forward(fast_forward_inference):
elif num_logits_to_keep != 0:
logits = self.lm_head(hidden_states[:, -num_logits_to_keep:, :].to(lm_head.dtype))
else:
if "return_logits" not in kwargs and HAS_CUT_CROSS_ENTROPY and labels is not None:
RETURN_LOGITS = os.environ.get("UNSLOTH_RETURN_LOGITS", "0") == "1"
if not RETURN_LOGITS and HAS_CUT_CROSS_ENTROPY and labels is not None:
n_items = kwargs.get("num_items_in_batch", None) or kwargs.get("n_items", None)
loss = fused_linear_cross_entropy(
hidden_states = hidden_states,
@ -995,7 +996,7 @@ def CausalLM_fast_forward(fast_forward_inference):
return CausalLMOutputWithPast(
loss=loss,
logits=EMPTY_LOGITS,
logits=None,
past_key_values=outputs.past_key_values,
hidden_states=outputs.hidden_states,
attentions=outputs.attentions,