| | --- |
| | license: other |
| | --- |
| | # Gemma-7B in 8-bit with bitsandbytes |
| |
|
| | This is the repository for Gemma-7B quantized to 8-bit using bitsandbytes. |
| | Original model card and license for Gemma-7B can be found [here](https://huggingface.co/google/gemma-7b#gemma-model-card). |
| | This is the base model and it's not instruction fine-tuned. |
| |
|
| | ## Usage |
| |
|
| | Please visit original Gemma-7B [model card](https://huggingface.co/google/gemma-7b#usage-and-limitations) for intended uses and limitations. |
| |
|
| | You can use this model like following: |
| |
|
| | ```python |
| | from transformers import AutoModelForCausalLM, AutoTokenizer |
| | |
| | tokenizer = AutoTokenizer("google/gemma-7b") |
| | model = AutoModelForCausalLM.from_pretrained( |
| | "merve/gemma-7b-8bit", |
| | device_map='auto' |
| | ) |
| | |
| | input_text = "Write me a poem about Machine Learning." |
| | input_ids = tokenizer(input_text, return_tensors="pt").to("cuda") |
| | |
| | outputs = model.generate(**input_ids) |
| | print(tokenizer.decode(outputs[0])) |
| | ``` |