metadata
base_model: unsloth/gemma-2-9b-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma2
- trl
license: apache-2.0
language:
- en
Uploaded model
- Finetuned from model : unsloth/gemma-2-9b-bnb-4bit
This gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training
The gpt-4o-mini model was used to summarize 100 of the text examples in this dataset https://huggingface.co/datasets/vojtam/czech_books_descriptions The lora model was trained on these summaries.
Example of Inference:
alpaca_prompt = "### Text: {} ### Summary: {}"
FastLanguageModel.for_inference(model)
inputs = tokenizer(
[
alpaca_prompt.format(
"", # text to summarize
"", # output - leave this blank for generation!
)
], return_tensors = "pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens = 64, use_cache = True)
tokenizer.batch_decode(outputs)
