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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- gemma |
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- trl |
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base_model: unsloth/gemma-7b-bnb-4bit |
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--- |
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```python |
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from unsloth import FastLanguageModel |
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import torch |
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model, tokenizer = FastLanguageModel.from_pretrained( |
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model_name = "Ashishkr/Gemma-7B-COT-LoRA-1024R", |
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max_seq_length = max_seq_length, |
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dtype = dtype, |
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load_in_4bit = load_in_4bit, |
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) |
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FastLanguageModel.for_inference(model) |
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inputs = tokenizer( |
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[ |
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alpaca_prompt.format( |
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"given a number identify if it is an even number, if its even, square it and add 5 to it. if its odd , get me the square root of the number", # instruction |
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"12", # input |
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"", # output - leave this blank for generation! |
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) |
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], return_tensors = "pt").to("cuda") |
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outputs = model.generate(**inputs, max_new_tokens = 2048, use_cache = True) |
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tokenizer.batch_decode(outputs) |
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``` |
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