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Update llama.py

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Daniel Han-Chen 2024-03-11 04:05:43 +11:00
commit 63b1f5879e
1 changed files with 7 additions and 7 deletions
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14
unsloth/models/llama.py
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@ -1480,9 +1480,9 @@ class FastLlamaModel:
((gate_proj.base_layer if hasattr(gate_proj, "base_layer") else gate_proj).bias is None) and \
(( up_proj.base_layer if hasattr( up_proj, "base_layer") else up_proj).bias is None) and \
((down_proj.base_layer if hasattr(down_proj, "base_layer") else down_proj).bias is None) and \
(not hasattr(gate_proj, "lora_magnitude_vector")) and \
(not hasattr( up_proj, "lora_magnitude_vector")) and \
(not hasattr(down_proj, "lora_magnitude_vector")):
((gate_proj.lora_magnitude_vector if hasattr(gate_proj, "lora_magnitude_vector") else None) is None) and \
(( up_proj.lora_magnitude_vector if hasattr( up_proj, "lora_magnitude_vector") else None) is None) and \
((down_proj.lora_magnitude_vector if hasattr(down_proj, "lora_magnitude_vector") else None) is None):
# https://stackoverflow.com/questions/50599045/python-replacing-a-function-within-a-class-of-a-module
layer.mlp.forward = types.MethodType(apply_lora_mlp, layer.mlp)
@ -1504,9 +1504,9 @@ class FastLlamaModel:
((q_proj.base_layer if hasattr(q_proj, "base_layer") else q_proj).bias is None) and \
((k_proj.base_layer if hasattr(k_proj, "base_layer") else k_proj).bias is None) and \
((v_proj.base_layer if hasattr(v_proj, "base_layer") else v_proj).bias is None) and \
(not hasattr(q_proj, "lora_magnitude_vector")) and \
(not hasattr(k_proj, "lora_magnitude_vector")) and \
(not hasattr(v_proj, "lora_magnitude_vector")):
((q_proj.lora_magnitude_vector if hasattr(q_proj, "lora_magnitude_vector") else None) is None) and \
((k_proj.lora_magnitude_vector if hasattr(k_proj, "lora_magnitude_vector") else None) is None) and \
((v_proj.lora_magnitude_vector if hasattr(v_proj, "lora_magnitude_vector") else None) is None):
layer.self_attn.apply_qkv = apply_lora_qkv
n_qkv += 1
@ -1521,7 +1521,7 @@ class FastLlamaModel:
o_proj = layer.self_attn.o_proj
if hasattr(o_proj, "lora_A") and \
((o_proj.base_layer if hasattr(o_proj, "base_layer") else o_proj).bias is None) and \
(not hasattr(o_proj, "lora_magnitude_vector")):
((o_proj.lora_magnitude_vector if hasattr(o_proj, "lora_magnitude_vector") else None) is None):
layer.self_attn.apply_o = apply_lora_o
n_o += 1