58 lines
1.5 KiB
Markdown
58 lines
1.5 KiB
Markdown
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---
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license: apache-2.0
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tags:
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- merge
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- cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
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- WizardLM/WizardMath-7B-V1.1
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---
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# WizardDolphin-7B
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WizardDolphin-7B is a merge of the following models:
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* [cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser)
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* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
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## 🧩 Configuration
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```yaml
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models:
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- model: mistralai/Mistral-7B-v0.1
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- model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
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parameters:
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density: 0.5
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weight: 0.5
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- model: WizardLM/WizardMath-7B-V1.1
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parameters:
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density: 0.5
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weight: 0.3
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merge_method: ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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normalize: true
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dtype: float16
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```
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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 = "FelixChao/WizardDolphin-7B"
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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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```
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