63 lines
1.6 KiB
Markdown
63 lines
1.6 KiB
Markdown
---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- Cartinoe5930/Llama2_init_Mistral
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- Cartinoe5930/Llama2_init_Mistral
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---
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# SOLAR-DUS-implement
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SOLAR-DUS-implement is a merge of the following model using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [Cartinoe5930/Llama2_init_Mistral](https://huggingface.co/Cartinoe5930/Llama2_init_Mistral)
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For more detailed information, please refer to GitHub Repository.
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GitHub Repository: https://github.com/gauss5930/iDUS
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: Cartinoe5930/Llama2_init_Mistral
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layer_range: [0, 24]
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- sources:
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- model: Cartinoe5930/Llama2_init_Mistral
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layer_range: [8, 32]
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merge_method: passthrough
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dtype: float16
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```
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## 🏆 HuggingFace Open LLM Leaderboard
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|Model|ARC|HellaSwag|MMLU|TruthfulQA|Winogrande|GSM8K|Average|
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|---|---|---|---|---|---|---|---|
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|SOLAR-10.7B-DUS-Implementation|59.56|81.18|63.68|40.72|76.48|26.99|58.1|
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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 = "Cartinoe5930/SOLAR-DUS-implement"
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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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``` |