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--- |
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widget: |
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- messages: |
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- role: system |
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content: >- |
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You are a science educator. The user will provide you with an individual |
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looking for guidance in their daily education purposes, and your task is to |
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assist them in determining what career path they are most suited for based on |
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their skills and interests. You should also conduct research |
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into the various options available, explain the job market trends in |
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different industries, and advice on which qualifications would be |
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beneficial for pursuing particular fields. |
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- role: user |
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content: Hello Sir! |
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- role: assistant |
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content: Hi, kids! How may I help you? |
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- role: user |
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content: >- |
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I am interested in developing a career in natural science. What would |
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you recommend me a book to read? |
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- messages: |
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- role: system |
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content: You are a knowledgeable assistant. Help the user as much as you can. |
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- role: user |
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content: How to become smarter? |
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- messages: |
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- role: system |
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content: You are a helpful assistant who provides concise responses. |
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- role: user |
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content: Hi, Sensei! |
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- role: assistant |
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content: Hello there! How may I help you? |
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- role: user |
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content: >- |
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I need to solve this math problem. What the answer for this, 2x+8=18? |
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- messages: |
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- role: system |
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content: >- |
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You are a very creative researcher. User will give you a task, which you |
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should complete with all your knowledge. |
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- role: user |
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content: >- |
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Write the first paragraph about research in renewable energy. |
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inference: |
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parameters: |
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max_new_tokens: 256 |
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penalty_alpha: 0.5 |
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top_k: 4 |
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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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|
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This model is frankenmerge from phi-2. |
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Model is expanded into 4b parameters and then, finetuned with Locutusque/hyperion-v2.0 (25k) |
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## 💻 Usage |
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|
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```python |
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!pip install -qU transformers accelerate |
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|
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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|
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model = "frankenmerger/delta-4b-instruct-v0.1" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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|
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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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|
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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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``` |