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Update llama.py

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This commit is contained in:
Daniel Han-Chen 2024-02-24 15:42:12 +11:00
commit be098122f1
1 changed files with 8 additions and 8 deletions
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unsloth/models/llama.py
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@ -510,10 +510,10 @@ def LlamaModel_fast_forward(
# Mormalized from Gemma
if self.config.model_type == "gemma":
# inputs_requires_grad = inputs_embeds.requires_grad
# if inputs_requires_grad: inputs_embeds.requires_grad_(False)
inputs_embeds = inputs_embeds * math_sqrt(self.config.hidden_size)
# if inputs_requires_grad: inputs_embeds.requires_grad_(True)
inputs_requires_grad = inputs_embeds.requires_grad
if inputs_requires_grad: inputs_embeds.requires_grad_(False)
inputs_embeds *= math_sqrt(self.config.hidden_size)
if inputs_requires_grad: inputs_embeds.requires_grad_(True)
pass
# Fix up attention mask by setting elements to 0
@ -609,7 +609,7 @@ def LlamaModel_fast_forward(
all_self_attns += (layer_outputs[1],)
pass
hidden_states = self.norm(hidden_states)
hidden_states = fast_rms_layernorm(self.norm, hidden_states)
# add hidden states from the last decoder layer
if output_hidden_states:
@ -1400,7 +1400,7 @@ class FastLlamaModel:
(down_proj.base_layer if hasattr(down_proj, "base_layer") else down_proj).bias 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)
layer.mlp.forward = types.MethodType(apply_lora_mlp, layer.mlp)
n_mlp += 1
else:
logger.warning_once(
@ -1420,7 +1420,7 @@ class FastLlamaModel:
(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:
# layer.self_attn.apply_qkv = apply_lora_qkv
layer.self_attn.apply_qkv = apply_lora_qkv
n_qkv += 1
else:
logger.warning_once(
@ -1434,7 +1434,7 @@ class FastLlamaModel:
if hasattr(o_proj, "lora_A") and \
(o_proj.base_layer if hasattr(o_proj, "base_layer") else o_proj).bias is None:
# layer.self_attn.apply_o = apply_lora_o
layer.self_attn.apply_o = apply_lora_o
n_o += 1
else:
logger.warning_once(