| license: apache-2.0 | |
| tags: | |
| - Safetensors | |
| - text-generation-inference | |
| - merge | |
| model_name: NeuralsirkrishnaShadow_ShadowYam | |
| base_model: | |
| - automerger/NeuralsirkrishnaShadow-7B | |
| - automerger/ShadowYam-7B | |
| inference: false | |
| model_creator: MaziyarPanahi | |
| pipeline_tag: text-generation | |
| quantized_by: MaziyarPanahi | |
| # NeuralsirkrishnaShadow_ShadowYam | |
| NeuralsirkrishnaShadow_ShadowYam is a merge of the following models: | |
| * [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B) | |
| * [automerger/ShadowYam-7B](https://huggingface.co/automerger/ShadowYam-7B) | |
| ## 💻 Usage | |
| ```python | |
| !pip install -qU transformers accelerate | |
| from transformers import AutoTokenizer | |
| import transformers | |
| import torch | |
| model = "MaziyarPanahi/NeuralsirkrishnaShadow_ShadowYam" | |
| 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"]) | |
| ``` |