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Update llama.py

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Daniel Han 2024-12-10 02:46:14 -08:00
commit e279c5ab26
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unsloth/models/llama.py
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@ -993,6 +993,9 @@ def CausalLM_fast_forward(fast_forward_inference):
logits = self.lm_head(hidden_states[:, -num_logits_to_keep:, :].to(lm_head.dtype))
else:
RETURN_LOGITS = os.environ.get("UNSLOTH_RETURN_LOGITS", "0") == "1"
# < 1024 Normal Unsloth uses less VRAM!
if bsz*q_len <= 1024: RETURN_LOGITS = True
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(