| --- |
| license: apache-2.0 |
| tags: |
| - merge |
| - mergekit |
| - lazymergekit |
| - automerger |
| base_model: |
| - Kukedlc/NeuralSirKrishna-7b |
| --- |
| |
| # Experiment28Neuralsirkrishna-7B |
|
|
| Experiment28Neuralsirkrishna-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration. |
| * [Kukedlc/NeuralSirKrishna-7b](https://huggingface.co/Kukedlc/NeuralSirKrishna-7b) |
|
|
| ## 🧩 Configuration |
|
|
| ```yaml |
| models: |
| - model: yam-peleg/Experiment28-7B |
| # No parameters necessary for base model |
| - model: Kukedlc/NeuralSirKrishna-7b |
| parameters: |
| density: 0.53 |
| weight: 0.6 |
| merge_method: dare_ties |
| base_model: yam-peleg/Experiment28-7B |
| 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 = "automerger/Experiment28Neuralsirkrishna-7B" |
| 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"]) |
| ``` |