--- base_model: - MaziyarPanahi/Llama-3-8B-Instruct-v0.10 - MaziyarPanahi/Llama-3-8B-Instruct-v0.8 tags: - merge - mergekit - MaziyarPanahi/Llama-3-8B-Instruct-v0.10 - MaziyarPanahi/Llama-3-8B-Instruct-v0.8 --- # notcode notcode is a merge of the following models Mergekit: * [MaziyarPanahi/Llama-3-8B-Instruct-v0.10](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.10) * [MaziyarPanahi/Llama-3-8B-Instruct-v0.8](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.8) ## 🧩 Configuration ```yaml models: - model: MaziyarPanahi/Llama-3-8B-Instruct-v0.10 parameters: density: 0.6 weight: 0.6 - model: MaziyarPanahi/Llama-3-8B-Instruct-v0.8 parameters: density: 0.4 weight: 0.4 merge_method: ties base_model: MaziyarPanahi/Llama-3-8B-Instruct-v0.10 parameters: normalize: false int8_mask: true dtype: float16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "nizarblal/notcode" messages = [{"role": "user", "content": ""}] 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"]) ```