| license: apache-2.0 | |
| tags: | |
| - Gemma Sprint | |
| - GDE | |
| - Google Cloud Champions Innovator | |
| - Google Cloud Research Innovator | |
| creator: Rabimba | |
| # Gemma-rk-master1 | |
| The strength of this model is | |
| - Coding | |
| - Poetic | |
| - DPO Trained | |
| ## 💻 Usage | |
| ```python | |
| !pip install -qU transformers bitsandbytes accelerate | |
| from transformers import AutoTokenizer | |
| import transformers | |
| import torch | |
| model = "rabimba/Gemma-rk-master1" | |
| tokenizer = AutoTokenizer.from_pretrained(model) | |
| pipeline = transformers.pipeline( | |
| "text-generation", | |
| model=model, | |
| model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True}, | |
| ) | |
| messages = [{"role": "user", "content": "Explain what a LLM is in less than 100 words."}] | |
| prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) | |
| outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) | |
| print(outputs[0]["generated_text"]) | |
| ``` |