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Facico / Chinese-Vicuna

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca
https://github.com/Facico/Chinese-Vicuna
Apache License 2.0
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peft模型无法加载 #199

Open lucasjinreal opened 1 year ago

lucasjinreal commented 1 year ago 
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RuntimeError: Error(s) in loading state_dict for PeftModelForCausalLM:
        Missing key(s) in state_dict: "base_model.model.model.embed_tokens.weight", "base_model.model.model.layers.0.self_attn.q_proj.weight", "base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight", 
RuntimeError: Error(s) in loading state_dict for PeftModelForCausalLM:
        Missing key(s) in state_dict: "base_model.model.model.embed_tokens.weight", "base_model.model.model.layers.0.self_attn.q_proj.weight", "base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight", 
"base_model.model.model.layers.0.self_attn.q_proj.lora_B.default.weight", "base_model.model.model.layers.0.self_attn.k_proj.weight", "base_model.model.model.layers.0.self_attn.k_proj.lora_A.default.weight", 
"base_model.model.model.layers.0.self_attn.k_proj.lora_B.default.weight", "base_model.model.model.layers.0.self_attn.v_proj.weight", "base_model.model.model.layers.0.self_attn.v_proj.lora_A.default.weight", 
"base_model.model.model.layers.0.self_attn.v_proj.lora_B.default.weight", "base_model.model.model.layers.0.self_attn.o_proj.weight", "base_model.model.model.layers.0.self_attn.o_proj.lora_A.default.weight", 
"base_model.model.model.layers.0.self_attn.o_proj.lora_B.default.weight", "base_model.model.model.layers.0.self_attn.rotary_emb.inv_freq", "base_model.model.model.layers.0.mlp.gate_proj.weight", 
"base_model.model.model.layers.0.mlp.gate_proj.lora_A.default.weight", "base_model.model.model.layers.0.mlp.gate_proj.lora_B.default.weight", "base_model.model.model.layers.0.mlp.down_proj.weight", 
"base_model.model.model.layers.0.mlp.down_proj.lora_A.default.weight", "base_model.model.model.layers.0.mlp.down_proj.lora_B.default.weight", "base_model.model.model.layers.0.mlp.up_proj.weight", 
"base_model.model.model.layers.0.mlp.up_proj.lora_A.default.weight", "base_model.model.model.layers.0.mlp.up_proj.lora_B.default.weight", "base_model.model.model.layers.0.input_layernorm.weight", 
"base_model.model.model.layers.0.post_attention_layernorm.weight", "base_model.model.model.layers.1.self_attn.q_proj.weight", "base_model.model.model.layers.1.self_attn.q_proj.lora_A.default.weight", 
"base_model.model.model.layers.1.self_attn.q_proj.lora_B.default.weight", "base_model.model.model.layers.1.self_attn.k_proj.weight", "base_model.model.model.layers.1.self_attn.k_proj.lora_A.default.weight", 
"base_model.model.model.layers.1.self_attn.k_proj.lora_B.default.weight", "base_model.model.model.layers.1.self_attn.v_proj.weight", "base_model.model.model.layers.1.self_attn.v_proj.lora_A.default.weight", 
"el.model.layers.3.self_attn.o_proj.weight", "base_model.model.model.layers.3.self_attn.o_proj.lora_A.default.weight", 
"base_model.model.model.layers.3.self_attn.o_proj.lora_B.default.weight", "base_model.model.model.layers.3.self_attn.rotary_emb.inv_freq", "base_model.model.model.layers.3.mlp.gate_proj.weight", 
"base_model.model.model.layers.3.mlp.gate_proj.lora_A.default.weight", "base_model.model.model.layers.3.mlp.gate_proj.lora_B.default.weight", "base_model.model.model.layers.3.mlp.down_proj.weight", 
"base_model.model.model.layers.3.mlp.down_proj.lora_A.default.weight", "base_model.model.model.layers.3.mlp.down_proj.lora_B.default.weight", "base_model.model.model.layers.3.mlp.up_proj.weight", 
"base_model.model.model.layers.3.mlp.up_proj.lora_A.default.weight", "base_model.model.model.layers.3.mlp.up_proj.lora_B.default.weight", "base_model.model.model.layers.3.input_layernorm.weight", 
"base_model.model.model.layers.3.post_attention_layernorm.weight", "base_model.model.model.layers.4.self_attn.q_proj.weight", "base_model.model.model.layers.4.self_attn.q_proj.lora_A.default.weight", 
"base_model.model.model.layers.4.self_attn.q_proj.lora_B.default.weight", "base_model.model.model.layers.4.self_attn.k_proj.weight", "base_model.model.model.layers.4.self_attn.k_proj.lora_A.default.weight", 
"base_model.model.model.layers.4.self_attn.k_proj.lora_B.default.weight", "base_model.model.model.layers.4.self_attn.v_proj.weight", "base_model.model.model.layers.4.self_attn.v_proj.lora_A.default.weight", 
"base_model.model.model.layers.4.self_attn.v_proj.lora_B.default.weight", "base_model.model.model.layers.4.self_attn.o_proj.weight", "base_model.model.model.layers.4.self_attn.o_proj.lora_A.default.weight", 
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"base_model.model.model.layers.4.mlp.down_proj.lora_A.default.weight", "base_model.model.model.layers.4.mlp.down_proj.lora_B.default.weight", "base_model.model.model.layers.4.mlp.up_proj.weight", 
"base_model.model.model.layers.4.mlp.up_proj.lora_A.default.weight", "base_model.model.model.layers.4.mlp.up_proj.lora_B.default.weight", "base_model.model.model.layers.4.input_layernorm.weight", 
"base_model.model.model.layers.4.post_attention_layernorm.weight", "base_model.model.model.layers.5.self_attn.q_proj.weight", "base_model.model.model.layers.5.self_attn.q_proj.lora_A.default.weight", 
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"base_model.model.model.layers.5.mlp.gate_proj.lora_A.default.weight", "base_model.model.model.layers.5.mlp.gate_proj.lora_B.default.weight", "base_model.model.model.layers.5.mlp.down_proj.weight", 
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"base_model.model.model.layers.5.mlp.up_proj.lora_A.default.weight", "base_model.model.model.layers.5.mlp.up_proj.lora_B.default.weight", "base_model.model.model.layers.5.input_layernorm.weight", 
"base_model.model.model.layers.5.post_attention_layernorm.weight", "base_model.model.model.layers.6.self_attn.q_proj.weight", "base_model.model.model.layers.6.self_attn.q_proj.lora_A.default.weight", 
"base_model.model.model.layers.6.self_attn.q_proj.lora_B.default.weight", "base_model.model.model.layers.6.self_attn.k_proj.weight", "base_model.model.model.layers.6.self_attn.k_proj.lora_A.default.weight", 
"base_model.model.model.layers.7.mlp.up_proj.lora_B.default.weight", "base_model.model.model.layers.7.input_layernorm.weight", 
"base_model.model.model.layers.7.post_attention_layernorm.weight", "base_model.model.model.layers.8.self_attn.q_proj.weight", "base_model.model.model.layers.8.self_attn.q_proj.lora_A.default.weight", 
"base_model.model.model.layers.8.self_attn.q_proj.lora_B.default.weight", "base_model.model.model.layers.8.self_attn.k_proj.weight", "base_model.model.model.layers.8.self_attn.k_proj.lora_A.default.weight", 
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LZY-the-boys commented 1 year ago

这是因为peft的版本不一致，peft0.3.0之后lora添加了一个名字(default), 你改低下版本应该就行，我们的requirements.txt里边有提供对应版本

lucasjinreal commented 1 year ago

@LZY-the-boys 是 peft 没有对齐，还是dpeespeed没有对齐，我目前用的的确是 0.3.0，但是按照理论上来讲，最起码transformers保存的全中，peft升级了也得能加载，我是自己训的，不是老版本保存的lora