Closed suifengqjn closed 11 months ago
模型都配置了,网上搜索问题可能是因为模型不同层分配到不同的gpu上,导致很多参数未分配或分配错误。请教一下怎么关闭gpu或者是只使用一张gpu卡
The device_map provided does not give any device for the following parameters: transformer.embedding.word_embeddings.weight, transformer.rotary_pos_emb.inv_freq, transformer.encoder.layers.0.input_layernorm.weight, transformer.encoder.layers.0.self_attention.query_key_value.weight, transformer.encoder.layers.0.self_attention.query_key_value.bias, transformer.encoder.layers.0.self_attention.dense.weight, transformer.encoder.layers.0.post_attention_layernorm.weight, transformer.encoder.layers.0.mlp.dense_h_to_4h.weight, transformer.encoder.layers.0.mlp.dense_4h_to_h.weight, transformer.encoder.layers.1.input_layernorm.weight, transformer.encoder.layers.1.self_attention.query_key_value.weight, transformer.encoder.layers.1.self_attention.query_key_value.bias, transformer.encoder.layers.1.self_attention.dense.weight, transformer.encoder.layers.1.post_attention_layernorm.weight, transformer.encoder.layers.1.mlp.dense_h_to_4h.weight, transformer.encoder.layers.1.mlp.dense_4h_to_h.weight, transformer.encoder.layers.2.input_layernorm.weight, transformer.encoder.layers.2.self_attention.query_key_value.weight, transformer.encoder.layers.2.self_attention.query_key_value.bias, transformer.encoder.layers.2.self_attention.dense.weight, transformer.encoder.layers.2.post_attention_layernorm.weight, transformer.encoder.layers.2.mlp.dense_h_to_4h.weight, transformer.encoder.layers.2.mlp.dense_4h_to_h.weight, transformer.encoder.layers.3.input_layernorm.weight, transformer.encoder.layers.3.self_attention.query_key_value.weight, transformer.encoder.layers.3.self_attention.query_key_value.bias, transformer.encoder.layers.3.self_attention.dense.weight, transformer.encoder.layers.3.post_attention_layernorm.weight, transformer.encoder.layers.3.mlp.dense_h_to_4h.weight, transformer.encoder.layers.3.mlp.dense_4h_to_h.weight, transformer.encoder.layers.4.input_layernorm.weight, transformer.encoder.layers.4.self_attention.query_key_value.weight, 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已解决
模型都配置了,网上搜索问题可能是因为模型不同层分配到不同的gpu上,导致很多参数未分配或分配错误。请教一下怎么关闭gpu或者是只使用一张gpu卡
The device_map provided does not give any device for the following parameters: transformer.embedding.word_embeddings.weight, transformer.rotary_pos_emb.inv_freq, transformer.encoder.layers.0.input_layernorm.weight, transformer.encoder.layers.0.self_attention.query_key_value.weight, transformer.encoder.layers.0.self_attention.query_key_value.bias, transformer.encoder.layers.0.self_attention.dense.weight, transformer.encoder.layers.0.post_attention_layernorm.weight, transformer.encoder.layers.0.mlp.dense_h_to_4h.weight, transformer.encoder.layers.0.mlp.dense_4h_to_h.weight, transformer.encoder.layers.1.input_layernorm.weight, transformer.encoder.layers.1.self_attention.query_key_value.weight, transformer.encoder.layers.1.self_attention.query_key_value.bias, transformer.encoder.layers.1.self_attention.dense.weight, transformer.encoder.layers.1.post_attention_layernorm.weight, transformer.encoder.layers.1.mlp.dense_h_to_4h.weight, transformer.encoder.layers.1.mlp.dense_4h_to_h.weight, transformer.encoder.layers.2.input_layernorm.weight, transformer.encoder.layers.2.self_attention.query_key_value.weight, transformer.encoder.layers.2.self_attention.query_key_value.bias, transformer.encoder.layers.2.self_attention.dense.weight, transformer.encoder.layers.2.post_attention_layernorm.weight, transformer.encoder.layers.2.mlp.dense_h_to_4h.weight, transformer.encoder.layers.2.mlp.dense_4h_to_h.weight, transformer.encoder.layers.3.input_layernorm.weight, transformer.encoder.layers.3.self_attention.query_key_value.weight, transformer.encoder.layers.3.self_attention.query_key_value.bias, transformer.encoder.layers.3.self_attention.dense.weight, transformer.encoder.layers.3.post_attention_layernorm.weight, transformer.encoder.layers.3.mlp.dense_h_to_4h.weight, transformer.encoder.layers.3.mlp.dense_4h_to_h.weight, transformer.encoder.layers.4.input_layernorm.weight, transformer.encoder.layers.4.self_attention.query_key_value.weight, 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