| tags: | |
| - merge | |
| - mergekit | |
| - lazymergekit | |
| - google/gemma-7b | |
| base_model: | |
| - google/gemma-7b | |
| # Gemma-2b-rs | |
| Gemma-2b-rs is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): | |
| * [google/gemma-7b](https://huggingface.co/google/gemma-7b) | |
| ## 🧩 Configuration | |
| ```yaml | |
| models: | |
| - model: google/gemma-7b-it | |
| # No parameters necessary for base model | |
| - model: google/gemma-7b | |
| parameters: | |
| density: 0.53 | |
| weight: 0.45 | |
| merge_method: dare_ties | |
| base_model: google/gemma-7b-it | |
| parameters: | |
| int8_mask: true | |
| dtype: bfloat16 | |
| random_seed: 0 | |
| ``` | |
| ## 💻 Usage | |
| ```python | |
| !pip install -qU transformers accelerate | |
| from transformers import AutoTokenizer | |
| import transformers | |
| import torch | |
| model = "Ruqiya/Gemma-2b-rs" | |
| messages = [{"role": "user", "content": "What is a large language model?"}] | |
| tokenizer = AutoTokenizer.from_pretrained(model) | |
| prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) | |
| pipeline = transformers.pipeline( | |
| "text-generation", | |
| model=model, | |
| torch_dtype=torch.float16, | |
| device_map="auto", | |
| ) | |
| 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"]) | |
| ``` |