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  license: apache-2.0
 
 
 
 
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  license: apache-2.0
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+ datasets:
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+ - daven3/geosignal
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+ language:
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+ - en
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  ---
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+
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+ # Adapter Model in K2
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+
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+ ## Quick Start
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+
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+ **After deploying the model [k2_fp_delta](https://huggingface.co/daven3/k2_fp_delta), we need to use the `PEFT` API from `transformers` to load the entire K2!**
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+
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+ ```python
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+ base_model = /path/to/geollama
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+ lora_weights = /path/to/adapter/model
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+ tokenizer = LlamaTokenizer.from_pretrained(base_model)
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+ model = LlamaForCausalLM.from_pretrained(
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+ base_model,
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+ load_in_8bit=load_8bit,
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+ device_map=device_map
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+ torch_dtype=torch.float16
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+ )
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+ model = PeftModel.from_pretrained(
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+ model,
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+ lora_weights,
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+ torch_dtype=torch.float16,
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+ device_map=device_map,
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+ )
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+ model.config.pad_token_id = tokenizer.pad_token_id = 0
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+ model.config.bos_token_id = 1
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+ model.config.eos_token_id = 2
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+ ```
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+
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+