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--- |
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widget: |
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- text: How to bake delicious pizza? |
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example_title: Cooking |
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- text: What is Aurora Borealis? |
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example_title: Question |
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- text: Solve this, 2x+8=18 |
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example_title: Math |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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datasets: |
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- Locutusque/hyperion-v2.0 |
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--- |
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This model is frankenmerge from gemma-2b-it. |
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Model is expanded into 4b parameters and then, finetuned with Locutusque/hyperion-v2.0 (50k) |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "frankenmerger/gemoy-4b-instruct-v0.2" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
