| --- |
| tags: |
| - merge |
| - mergekit |
| - lazymergekit |
| --- |
| |
| # Llama-Coder-NextGen-9b |
|  |
|
|
| Llama-Coder-NextGen-9b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
|
|
| ## 🧩 Configuration |
|
|
| ```yaml |
| |
| models: |
| - model: powermove72/Llama3-NextGen-9b |
| - model: powermove72/Shark-Coder-9b |
| merge_method: slerp |
| base_model: powermove72/Llama3-NextGen-9b |
| dtype: bfloat16 |
| parameters: |
| t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers |
| |
| ``` |
|
|
| ## 💻 Usage |
|
|
| ```python |
| !pip install -qU transformers accelerate |
| |
| from transformers import AutoTokenizer |
| import transformers |
| import torch |
| |
| model = "powermove72/Llama-Coder-NextGen-9b" |
| 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"]) |
| ``` |
